AI Tools for Commercial Real Estate

If you haven’t noticed, we’ve been exploring use cases, training, and tools related to AI in commercial real estate a lot lately! The reason is that Artificial intelligence (AI) is poised to revolutionize the commercial real estate industry by transforming the way acquisitions, development, management, advisory, and marketing teams in the industry operate. AI tools are enabling CRE teams to process vast amounts of financial data, automate repetitive tasks, repackage existing content in more palatable formats, and gain valuable insights that can inform strategic decision-making.

In this blog post, we explore some of the AI tools that are most relevant to commercial real estate. This space is moving very fast. And so, as the industry adopts these tools, and as entrepreneurs create new tools, we will regularly release updated editions to this post.

Several years ago, we began adding updates to the key AI tools that we view as applicable to CRE. Those updates are included as bullet points to the tools below. We’ve also begun to add and remove tools based on their adoption, continued development, and/or emergence. We update this post on at least a quarterly basis, or as major updates came along.

Note from Spencer and Michael: We provide this post as a service, but do not endorse any of the tools listed here. While Spencer is a co-founder of a company creating AI agents for commercial real estate and A.CRE is the creator of the industry’s #1 AI educational community for CRE, we seek to provide a fair airing of all AI applications that may benefit CRE professionals. If you have an AI tool you’d like added to this post, shoot us a note and we’ll consider whether it’s relevant.

One of the great unlocks of generative AI is that it empowers non-technical professionals—like those of us in commercial real estate—to build bespoke solutions for bespoke problems quickly and at minimal cost.

Regular AI Use Is the New Baseline

Artificial intelligence—whatever that actually means these days!—is rapidly becoming an integral part of how work gets done in commercial real estate. Whether you’re in acquisitions, development, management, investor relations, or brokerage, using AI regularly is now the expected baseline in a growing number of firms.

The true differentiator now lies in how reflexively you use these tools—integrating them seamlessly into your daily tasks to streamline workflows, automate tedious processes, and unlock new insights. By adopting an AI-first mindset, you free up time from the mundane and focus on what truly moves the needle: strategic thinking, better decision-making, and stronger relationships.

This guide introduces you to a growing list of AI tools applicable to real estate, each designed to help you work smarter, faster, and more efficiently.

Want the best AI course for commercial real estate without going it alone? Join AI.Edge — the leading AI training program and community for top CRE professionals.
Learn practical workflows, gain real-world skills, and become the go-to AI leader in your firm.

Natural Language Models and Interfaces (Closed-Weight)

Closed‑weight (or proprietary) models are hosted and operated by their providers, who keep the underlying weights private while exposing the models through web apps, APIs, and managed agent platforms. These systems prioritize reliability, safety, compliance, and tight product integrations, making them the default choice for production workloads and day‑to‑day knowledge work rather than just benchmark performance.

Anthropic Claude AI, Claude Enterprise, and Claude for Teams.

Anthropic’s Claude had an extraordinarily active spring 2026, advancing its flagship Opus line twice in roughly six weeks. After shipping Claude Opus 4.7 on April 16, Anthropic released Claude Opus 4.8 on May 28 as its new frontier model—alongside user-facing effort controls, a “dynamic workflows” feature for Claude Code, general availability of deep Microsoft 365 integration across Excel, PowerPoint, and Word, a self-improving “Managed Agents” platform, and Claude for Small Business—cementing Claude as a full agentic work environment rather than just a conversational model (Link).

Claude Opus 4.8 + Mythos Preview: Released May 28, 2026, Opus 4.8 builds on Opus 4.7 with gains across coding, agentic, reasoning, and knowledge-work benchmarks at the same price ($5/$25 per million input/output tokens). A standout improvement is honesty—Anthropic reports Opus 4.8 is roughly four times less likely than its predecessor to let flaws in its own code pass unremarked, and more likely to flag uncertainty than to overclaim progress, which matters for high-stakes analytical work. It’s also the strongest computer-use and browser-agent model Anthropic has shipped (84% on Online-Mind2Web). Above Opus sits Claude Mythos Preview, a higher-intelligence model class currently limited to a few organizations for cybersecurity work under Project Glasswing, with broader release expected in the coming weeks. Sonnet 4.6 (Feb 17) and Haiku 4.5 (Oct 2025) round out the lineup.
Cowork, Computer Use & Managed Agents: Claude Cowork—the desktop productivity platform launched in January—now underpins several market-specific bundles and gains a new effort control (alongside claude.ai) that lets users dial how hard Claude works on a task. At its Code w/ Claude conference (SF May 6, London May 19, Tokyo June), Anthropic expanded Claude Managed Agents, its cloud-hosted agent runtime, with “dreaming” (an overnight process that reviews past sessions and consolidates memory; research preview), “outcomes” (a self-grading loop that scores output against a rubric), and multiagent orchestration (a lead agent fanning work out to as many as 20 parallel subagents)—plus webhooks, self-hosted sandboxes, and private MCP server connections.
Claude for Microsoft 365 (Excel, PowerPoint, Word & Outlook): Claude’s Office add-ins reached general availability across Excel, PowerPoint, and Word (Outlook in beta) and now share full conversational context across all four apps in a single session—analyze a model in Excel, build the deck in PowerPoint, redline a contract in Word, and draft the distribution email in Outlook without copy-pasting. In Excel specifically, Claude reads multi-tab workbooks, builds models with real formulas, runs sensitivity analysis, updates assumptions without breaking formulas, and highlights every cell it changes. The add-ins require a paid plan (Pro, Max, Team, or Enterprise) and can also run through AWS Bedrock, Google Cloud Vertex AI, or an LLM gateway inside an organization’s own trust boundary.
Claude Code & Developer Tools: Launching with Opus 4.8, Claude Code added “dynamic workflows” (research preview), which lets Claude plan a large job, run hundreds of parallel subagents in one session, and verify its own output before reporting back—enough to carry out codebase-scale migrations across hundreds of thousands of lines of code. Anthropic doubled Claude Code rate limits and raised Opus API limits at Code w/ Claude, and the Messages API can now accept system instructions mid-task to update permissions or token budgets as an agent runs. Claude Code Security continues to surface high-severity vulnerabilities in open-source projects at low false-positive rates, with Mythos-class testing finding more than ten times as many issues in recent browser audits as prior Opus models.
Enterprise & Platform Expansion: Anthropic deepened its enterprise push with strategic alliances—KPMG is rolling Claude across its 276,000-person workforce (May 19) and PwC is deploying it to build technology and execute deals (May 14)—and launched Claude for Small Business (May 13), a Cowork-based bundle with roughly 15 agentic workflows, connectors for QuickBooks, PayPal, and HubSpot, and a free 10-city AI-fluency training tour. The company also acquired API-tooling firm Stainless (May 18), expanded its first-of-its-kind Claude Platform on AWS (native API features from day one), and announced higher usage limits backed by a major SpaceX compute deal, with API volume reportedly up about 17× year over year.
Privacy, Trust & Effort Controls: Notably, Anthropic confirmed Claude will remain ad-free, arguing that advertising incentives conflict with a genuinely helpful assistant—an explicit contrast with OpenAI’s new ad platform. The new effort control (available on all plans) gives users direct say over the trade-off between compute spend and speed, and Anthropic continues to state it does not train on customer data by default on Team and Enterprise plans. Paid Claude accounts will also begin receiving monthly Agent SDK credits ($20–$200 by plan) starting June 15.

OpenAI ChatGPT, ChatGPT Enterprise, and ChatGPT for Teams.

OpenAI’s ChatGPT remains the most widely adopted natural language interface, now serving 900M+ weekly users and 50M+ paying subscribers. Through spring 2026, OpenAI accelerated its release cadence—launching GPT‑5.5 on April 23 as its new frontier model, rolling out GPT‑5.5 Instant on May 5 as the default for all users, taking ChatGPT for Excel and Google Sheets to general availability, previewing a personal finance experience, and opening a self-serve advertising platform (Link).

GPT‑5.5 (New Frontier Model): Released April 23, 2026, GPT‑5.5 is OpenAI’s most capable model to date and its first fully retrained base model since GPT‑4.5 (codename “Spud”). It is natively omnimodal—processing text, images, audio, and video in a single architecture—and posts state-of-the-art results on Terminal‑Bench 2.0 (82.7%), GDPval (~85%), OSWorld‑Verified, and FrontierMath, while its 1M-token long-context reasoning roughly doubled over GPT‑5.4. Two variants run in ChatGPT: GPT‑5.5 Thinking (Plus, Pro, Business, Enterprise) and the deliberative GPT‑5.5 Pro (Pro/Business/Enterprise only). API access—1M-token context at $5/$30 per million tokens—followed April 24. The cadence is notable: GPT‑5.2 shipped December 2025, GPT‑5.4 on March 5, and GPT‑5.5 on April 23.
GPT‑5.5 Instant (Default Model): On May 5, GPT‑5.5 Instant replaced GPT‑5.3 Instant as the default for every ChatGPT user (Free, Plus, Pro, Go, Business, Enterprise). OpenAI reports roughly 52.5% fewer hallucinated claims than its predecessor on high-stakes medicine, law, and finance prompts, plus sharp gains in math (AIME 2025) and multimodal reasoning, all while keeping low latency. It adds enhanced personalization from past chats, files, and connected Gmail (Plus/Pro web first) and user-manageable Memory Sources; GPT‑5.3 Instant stays available to paid users for three months.
ChatGPT for Excel & Google Sheets (Now GA): As of May 5, ChatGPT for Excel and Google Sheets are generally available across all plans and powered by GPT‑5.5 (Google Sheets entered beta April 22). The spreadsheet-native sidebar builds and updates multi-tab models, runs scenario analysis, explains inherited workbooks, traces formula errors, and grounds work in approved files via reusable “Skills” and app integrations. Financial data partners—FactSet, Dow Jones Factiva, LSEG, Daloopa, S&P Global, MSCI, Moody’s, and Third Bridge—feed trusted data directly into ChatGPT. Business, Enterprise, Edu, and K‑12 workspaces get a free preview through June 2, 2026, with RBAC, data/inference residency, Enterprise Key Management, and Compliance API coverage. OpenAI’s internal investment-banking benchmark for three-statement modeling rose from 43.7% (GPT‑5) to 87.3% (GPT‑5.4 Thinking).
Personal Finance Experience: Previewing for U.S. Pro users since May 15, ChatGPT’s new Finances experience lets users securely connect accounts through Plaid, view a money dashboard, and ask questions grounded in their real financial context, goals, and priorities. GPT‑5.5 Thinking is the default model in Finances (GPT‑5.5 Pro available to Pro users). ChatGPT can analyze and plan but cannot move money, pay bills, place trades, file taxes, or act as a licensed financial, legal, or tax adviser.
Model Retirements & Simplification: GPT‑4o was deprecated in February 2026, and the GPT‑5.5 family now supersedes GPT‑5.4 across ChatGPT and Codex. GPT‑5.3 Instant is being phased out following the GPT‑5.5 Instant default swap, with a three-month availability window for paid users via model configuration settings.
Codex & Enterprise Agents: Now powered by GPT‑5.5, Codex was named a Leader in Gartner’s 2026 Magic Quadrant for Enterprise AI Coding Agents (May 20) and surpassed 4M weekly users. OpenAI expanded distribution sharply—Codex on AWS via Amazon Bedrock (April 30), an on-premises/hybrid partnership with Dell Technologies (May 18), and a Codex preview in the ChatGPT mobile app (May 14)—alongside HIPAA-compliant usage, Codex Security, and a GPT‑5.5‑Cyber variant. Enterprises that contact sales before June 12 receive two months of free Codex.
Platform & UX Updates: Other spring releases include ChatGPT Images 2.0 (April 21) with improved text rendering and visual reasoning, Advanced Account Security, an admin-managed Microsoft Teams sync for Enterprise/Edu workspaces, inline web images in Free-tier answers, and an optional Trusted Contact safety feature for personal accounts.

Google Gemini

Google reshuffled its entire Gemini model hierarchy at I/O 2026 (May 19–20). The headline was Gemini 3.5 Flash—a mid-tier model that beats the prior 3.1 Pro flagship on coding and agentic benchmarks at a fraction of the cost—launched alongside Antigravity 2.0, the Gemini Spark personal agent, the Gemini Omni media model, and a wave of agentic features across Search, Workspace, and Android that push Gemini from a chatbot toward an autonomous partner that does real work on the user’s behalf (Link).

Gemini 3.5 Flash & 3.5 Pro: Launched May 19 and generally available the same day, Gemini 3.5 Flash is Google’s new default model—a speed-tier model that surpasses the prior Gemini 3.1 Pro flagship on the benchmarks that matter most for agentic work: Terminal-Bench 2.1 (76.2%), MCP Atlas scaled tool use (83.6%), Finance Agent v2 (57.9%), and CharXiv multimodal reasoning (84.2%)—while running roughly 4× faster and priced at $1.50/$9.00 per million tokens with a 1M-token context window. It still trails 3.1 Pro on pure deep-reasoning tests (Humanity’s Last Exam, ARC-AGI-2, and long-context retrieval), so Google is holding the heavier-reasoning Gemini 3.5 Pro for a June release. 3.5 Flash is live in the Gemini app, Search AI Mode, Antigravity 2.0, and the Gemini API.
Antigravity 2.0, CLI & SDK: Google rebuilt its agent-first development platform into Antigravity 2.0—a standalone desktop app for orchestrating multiple agents in parallel, a new Go-based Antigravity CLI, an SDK for hosting custom agents, and Managed Agents callable from the Gemini API. It spawns specialized subagents, runs scheduled background tasks, and integrates with AI Studio, Firebase, and Android; co-optimization with 3.5 Flash reportedly runs the model up to 12× faster in-platform. It remains a free public preview on macOS, Windows, and Linux and now absorbs the standalone Gemini CLI, whose consumer access ends June 18, 2026. (In an onstage demo, Antigravity and 3.5 Flash built a working operating system from scratch in about 12 hours.)
Gemini Spark & Daily Brief: Gemini Spark is a new personal agent that takes actions on the user’s behalf across Gmail, Docs, and other Workspace apps—expanding to third-party tools via MCP over the summer—rolling out first to Google AI Ultra subscribers in the U.S. Daily Brief assembles a personalized digest from Gmail, Calendar, and Tasks, prioritizing the day’s work and suggesting next steps (AI Plus, Pro, and Ultra in the U.S.). Together they reframe Gemini as an active partner that does work under your direction, not just an assistant that answers questions.
Workspace & Productivity: Gemini deepened its Workspace footprint with Gmail Live (conversationally search your inbox), an AI Inbox, and Docs Live (create and edit documents in a live mode), plus an AI organizing mode in Keep and a new AI image/design app, Google Pics. Gemini can now also generate finished files directly—Docs, Sheets, Slides, PDF, DOCX, XLSX, CSV, Markdown, and more—turning a prompt into a usable business asset with far less copy-paste. Most of these reach AI Pro and Ultra subscribers over the summer.
Search & Shopping: Search AI Mode—now powered by 3.5 Flash and reportedly near 1 billion monthly users—gained an intelligent search box that expands as queries get longer and anticipates intent. New information agents monitor the web 24/7 for topics you care about, and “mini apps” let Search build custom dashboards and trackers for recurring tasks (AI Pro/Ultra, rolling out this summer). A Gemini-powered Universal Cart unifies shopping across the Gemini app, YouTube, and Gmail, surfacing deals, price history, stock alerts, and compatibility checks.
Gemini Omni & Visual Experiences: Gemini Omni is a new multimodal “world model” series; Gemini Omni Flash takes image, audio, video, and text input and outputs editable video grounded in real-world knowledge, available in the Gemini app, Google Flow, and YouTube Shorts. The Gemini app also adopted a new design language, “Neural Expressive,” with richer responses that surface key information first and add inline images, narrated videos, timelines, and interactive visualizations. Content-provenance tools (SynthID detection and C2PA Content Credentials) are expanding into Search and Chrome.
New Surfaces & Plans: Google previewed Android XR “intelligent eyewear” (first audio glasses this fall, built with Samsung and Qualcomm) and Android Halo, a system-level strip that shows what your agent is working on without interrupting you. On pricing, Google is shifting the Gemini app from daily prompt limits to a “compute-used” model that refreshes every five hours up to a weekly cap, and repriced its plans—Google AI Ultra now starts at $100/month (5× the usage of AI Pro), with the former $250 plan dropping to $200.

xAI Grok

Under new ownership—SpaceX announced its acquisition of xAI on April 17, 2026, folding Grok and the X platform into SpaceX’s corporate structure—xAI continues to advance Grok as a real-time AI assistant integrated with X, now centered on the new Grok 4.3 model with native video input, real-world data access, file generation, a dedicated coding agent, and reusable “Skills” (Link).

Grok 4.3: Reaching the public API on April 30 (with broader rollout in early May), Grok 4.3 is xAI’s reasoning-first flagship, succeeding the Grok 4.1/4.2 line. It ships a 1M-token context window and native video input—an xAI first, accepting clips up to several minutes for transcription, object tracking, and motion reasoning—at aggressively low pricing of $1.25/$2.50 per million tokens. Its biggest gain is agentic, with a roughly 320-point jump on the GDPval-AA tool-use benchmark over its predecessor. On the independent Artificial Analysis Intelligence Index it scores 53—below GPT-5.5 and Gemini 3.1 Pro, but at a fraction of their cost—positioning Grok 4.3 as a value play rather than an outright frontier leader. xAI is separately training its next flagship, Grok 5, for a 2026 release.
Grok Imagine & Visual Generation: Grok’s Imagine generator gained higher realism, stronger text rendering, and better creative control, and now ranks among the stronger models on independent text-to-image leaderboards. A new Imagine Agent Mode (beta) adds an infinite-canvas creative agent that generates and batch-edits images and stitches short clips into longer films, with preset workflow templates for short films, UGC product stories, and brand identity—making it increasingly viable for social, ad, and explainer content.
Live Real-World Data & Connectors: Grok continues to ingest and reason over real-time streams from X, the wider web, news, and public filings, powering Deep Search–style results that surface fresh, source-linked insights rather than relying solely on a static training cutoff. New Connectors in Grok Web bring everyday apps directly into the chat experience, extending that real-time context into the tools users already work in.
Premium Tiers: SuperGrok, Heavy & X Premium+: Grok offers a free, rate-limited base assistant plus premium options—SuperGrok (~$30/mo) and SuperGrok Heavy (~$300/mo)—which unlock the highest reasoning effort, longer sessions, full Imagine access, and artifact-generation features. The new Grok Build coding agent, initially limited to Heavy subscribers, opened in late May to all SuperGrok and X Premium+ users.
Open Models & Licensing: Earlier Grok generations remain available under open or community licenses—Grok-1 under Apache 2.0 and the Grok-2 family under xAI’s Community License—giving developers lighter-weight, self-hostable options alongside the proprietary Grok 4.x line.
Skills, Personality & Memory: xAI launched Custom Skills (May 26)—reusable, personalized automation tasks that deploy in seconds—building on a library of built-in skills that ship with every account and can be overridden. Combined with new file generation (production-ready Word, PowerPoint, Excel, and PDF output) and persistent memory across sessions, the focus is shifting Grok from a standalone chatbot toward an all-in-one productivity hub, while retaining its “maximally truth-seeking” positioning.
Developer API, Grok Build & Agent Tools: The xAI API now centers on Grok 4.3 and exposes an Agent Tools API for building agents that call search, web, and code-execution tools. Grok Build adds a purpose-built coding model and CLI (256K-token context, $1/$2 per million tokens) aimed at agentic software work, and xAI’s voice stack—Text-to-Speech, Speech-to-Text in 25 languages, a voice-agent API, and Custom Voice cloning from a short recording—is now generally available to developers.

Open-Weight Alternatives

Beyond the big four proprietary assistants sits a fast-moving field of open-weight models you can self-host, fine-tune, or run cheaply through low-cost APIs—and in 2026 the gap with the frontier has narrowed to the point where the “best open model” changes almost monthly. Between early April and late May 2026 alone, Moonshot shipped Kimi K2.6, DeepSeek shipped V4 Pro and Flash, Alibaba released Qwen 3.7, z.ai shipped GLM-5.1, Xiaomi released MiMo-V2.5-Pro, and Google released Gemma 4—with Chinese labs now setting the pace at the top of the open-weight leaderboards (Link).

DeepSeek V4 (Pro & Flash): Released in late April under the permissive MIT license, DeepSeek V4-Pro (1.6T total / 49B active) is the open-weight cost-performance and coding leader—roughly 80% on SWE-bench Verified with a 1M-token context—while V4-Flash targets the absolute lowest inference cost. For repeatable, code-heavy workloads, DeepSeek’s output pricing runs an order of magnitude or more below the closed frontier, which is why it shows up most often in self-hosted and high-volume agentic pipelines.
Moonshot Kimi K2.6: Shipped April 20 as a ~1.1T-parameter mixture-of-experts model, Kimi K2.6 currently tops the independent Artificial Analysis Intelligence Index among open-weight models, with its headline improvement being agentic stability over long, multi-step sessions—making it a strong fit for sub-agent and harness-driven workflows. The main trade-off is a Chinese-language training bias that can show up on subtle English nuance.
Alibaba Qwen 3.7: Qwen 3.7 Max-Preview (mid May) briefly led six major coding and agent benchmarks at once, but it marks a notable shift—Alibaba closed the weights on its top flagship tier (now API-only via Qwen Studio) after years of fully open releases. The 27B, 35B-A3B, and 72B/Plus variants remain open under Apache 2.0 with up to 1M-token context, keeping Qwen the strongest cleanly-licensed open coder for production teams.
z.ai GLM-5.1 & Xiaomi MiMo: GLM-5.1 (~754B parameters) ships under the clean MIT license—a real differentiator for enterprise fine-tuning and commercial deployment—and is consistently in the coding and agent conversation. Xiaomi’s MiMo-V2.5-Pro (1T total / 42B active, 1M context) is a dark horse that ties Kimi K2.6 on the Intelligence Index under a true Apache 2.0 license, though with a less mature hosting ecosystem.
Google Gemma 4: Released April 2 under Apache 2.0 (the first fully permissive Gemma license), Gemma 4 is the standout Western, run-it-yourself family. It comes in four sizes—from ~2–5B edge models that run on a phone or laptop up to a 26B MoE and 31B dense model—with native audio, vision, function calling, and reasoning, and posts near-90% on AIME despite a fraction of rivals’ parameter counts. With day-one support in Ollama, llama.cpp, vLLM, and LM Studio, it’s the default starting point for local, private, hardware-constrained CRE deployments.
Meta Llama 4 & the Western Field: Meta’s Llama 4 Scout still owns ultra-long context (a 10M-token window) and Maverick remains a capable generalist, but the line dates to 2025—Behemoth is still unreleased—so Llama now trails the newest Chinese and Gemma releases on most benchmarks and carries a 700M-MAU license cap. Rounding out the Western open options: OpenAI’s gpt-oss (20B/120B), Mistral’s Small/Medium models for European data sovereignty, Microsoft’s Phi-4 for edge, and NVIDIA’s Nemotron line.
The Cost, License & Multi-Model Shift: The defining late-spring story is economics: at equivalent benchmark performance, the open-weight (largely Chinese) options now run 5–25× cheaper than the closed frontier. Licensing is converging too—Chinese labs pushing MIT/Apache to maximize Western adoption, and U.S. labs like Google following suit with Gemma 4. The practical upshot for firms: a 2026 Databricks report found 75%+ of enterprises now run two or more model families in production, routing routine, high-volume, or privacy-sensitive work to open weights and reserving the frontier APIs for the hardest tasks.

AI Courses and Training for Real Estate

As AI transforms commercial real estate, learning to use AI is emerging as an absolute necessity. A growing set of programs and memberships now teach CRE professionals how to integrate AI into their workflows, from research and underwriting to operations and marketing. Below are leading solutions available.

AI.Edge (AI Courses + Community Tools): AI course for real estate, practical AI learning community created by industry veterans who currently apply AI at scale.
- With over 1,700 members, AI.Edge features monthly training (timely lessons each month), AI Multipliers (exclusive tools, prompts, and members-only AI data and apps), the Intelligence Brief (monthly curated insights) delivered in writing and live with Q&A, the A.CRE Intelligence Hub, and The Build Showcase (community build competitions and sharing).
- The AI-Native Foundation course is on-demand, regularly updated, and builds baseline fluency fast.
- Recent additions include a full “AI Agents for CRE” lesson/quiz, a growing series of hands-on workshops, and a 9-week AI-Native Playbook (Link).
UCLA Extension – Artificial Intelligence in Real Estate: The latest course covers the growing role of AI in valuation, analytics, investment optimization, location selection, and migration patterns. It explores ethical implications through case studies and practical examples. New for Fall: the class now sets prerequisites (market/financial analysis experience), features corporate education tracks, and supports community outreach/donations. (Link)
Columbia Plus – Artificial Intelligence in Real Estate: Delivered by Columbia Engineering with 8 modules (~6–8 hours/week), guest lectures, hands-on coding, and a group project. Led by Josh Panknin, it emphasizes AI/ML strategy in real estate. Tuition: $2,000 with early-bird discounts. (Link)

AI Agentic Platforms (Horizontal and Vertical)

AI Agentic Platforms are environments that enable the deployment, coordination, and management of autonomous AI agents. These agents perceive their environment, make decisions, and execute actions iteratively toward achieving defined objectives. Unlike traditional SaaS tools, agentic platforms go beyond single-task automation — they integrate data sources, software tools, and dynamic workflows to perform complex, multi-step tasks autonomously. Agentic platforms typically allow users to create, modify, and orchestrate multiple AI agents with varying roles and toolsets.

Horizontal

Beam AI (Horizontal): Beam.AI unveiled new integrations in October 2025, connecting directly to Microsoft Business, SharePoint, Apaleo, Google Sheets, TapClicks, and HubSpot for richer data-driven task automation. Platform updates added unified tool creation/testing, improved image/text parsing, progress tracking for agent setup, and smarter parameter extraction. ML-powered upgrades boost performance, faster PDF uploads, longer task memory, and AI-powered clarifications. Workspace management is now more streamlined, and bug fixes have strengthened reliability and efficiency. (Link)
Lindy (Horizontal): Lindy’s September release added support for Gemini 2.5 Pro and new GPT-4.1 models (Nano, Mini, and 4.1). Context management actions improve state retention for agents, plus Google Docs/PDF actions make document workflows simpler. New agent monitoring, partner portal, and expanded web scrapers are now live. Beta “Code Action” lets users run Python/JS directly within workflows for custom automation. Multi-account support and WhatsApp integration make Lindy more versatile across inboxes and teams. (Link)
AgentForce (Horizontal): Salesforce launched Agentforce IT Service with over 100 pre-built connectors and integrations (October 2025), unifying IT and HR workflows for auto-resolution and improved productivity. Winter ’26 updates for Agentforce Sales introduce enhanced security/privacy centers, new web-based lead generation agents, improved platform stability, and Customer360 productivity upgrades. Revised certification now emphasizes advanced agentic workflows and security. (Link)
Google Vertex AI (Horizontal): Google Vertex AI is a horizontal AI platform that helps businesses build, deploy, and scale machine learning models across industries. (Link)
Microsoft Copilot Agents (Horizontal): Microsoft Copilot Agents are horizontal AI assistants integrated into Microsoft 365, automating tasks across business functions to boost productivity. (Link)
Gumloop (Horizontal): A no-code AI workflow automation platform that connects data across multiple sources, including OpenAI, Anthropic, Perplexity, Google, and enterprise apps like Slack, Notion, and Salesforce. Enables AI-driven automation for web scraping, SEO, document processing, and business analytics. (Link)
n8n (Horizontal): An AI-native workflow automation platform designed for technical teams. Supports multi-step AI agents, real-time data integration, and custom automation using JavaScript, Python, and 400+ integrations. (Link)
Manus (Horizontal): Built by Chinese startup Monica (Butterfly Effect AI), Manus is a multi-agent AI platform that autonomously executes complex tasks like resume screening, stock analysis, and site creation. It uses a modular sub-agent architecture and gained global attention in March 2025 with strong GAIA benchmark performance. (Link)
Relevance AI (Horizontal): Relevance AI is a no-code platform that empowers teams and subject-matter experts to build and manage scalable teams of AI agents. (Link)
Pipedream (Horizontal): Pipedream has evolved into an agentic automation platform with its AI Agent Builder (“String”), enabling agents to be built and deployed from natural language. (Link)

Vertical (CRE-Relevant)

CRE Agents (Vertical – Real Estate): Built in part by members of the A.CRE team, CRE Agents seeks to be the AI operating layer for commercial real estate—automating repetitive tasks across acquisitions, asset management, brokerage, and development. (Link).
Symphony (Vertical – HR): SymphonyAI has expanded its IRIS Foundry platform with direct Microsoft Teams and Copilot integration, enabling frontline teams to launch AI-driven maintenance, quality, and energy workflows inside corporate collaboration tools. SymphonyAI was named a Leader in the Green Quadrant: Industrial AI Analytics Software (2025) by Verdantix, citing significant impact on efficiency, cycle times, and downtime. Enterprise adoption has accelerated across manufacturing and energy verticals, with measurable results like a 7% OEE gain and 15% reduction in unplanned downtime. (Link)
Karmen (Vertical – Construction): Karmen remains a leading AI assistant for construction project managers, automating invoice approvals, RFI and change order tracking via integration with emails and project management platforms like Procore. The platform reportedly saves managers three hours per day and has improved adoption across general contractors and owners for admin process automation. (Link)
Fresco (Vertical – Construction): Fresco’s AI copilot is now widely adopted by construction superintendents, leveraging video and voice transcription to automate daily logs, punch lists, and documentation in real time during site walks. Users report a 90% reduction in information retrieval time and major productivity gains for project managers and supers, with seamless integration into Procore and ACC for actionable jobsite insights. (Link)

Purpose-Built AI Tools/Apps for CRE

While agentic platforms support the creation and execution of autonomous agents, these software tools represent targeted AI-powered applications built specifically for commercial real estate. They typically focus on single-use cases like lease abstraction, underwriting automation, presentation creation, or communication management.

rrol AI: Rent roll parsing engine, that quickly and effortlessly turns messy multifamily rent rolls into usable spreadsheets (Link)
LeaseLens: AI lease abstraction platform offering exports at $25 per commercial lease. (Link)
Pipe.CRE: Unlocking the value of unstructured lease, sale, and expense comp data sitting on every users drive. (Link)
Prophia: Asset and portfolio management platform with AI lease abstraction, now featuring instant abstraction for fast insights. (Link)
Henry AI: AI-driven presentation platform that generates polished, deal-ready CRE decks from comps and underwriting data. (Link)
Proda AI: Rent roll processing and roll-up platform with flexible API column configuration. (Link)
Archer: Multifamily underwriting and investment platform with AI parsing, analysis, and a new comps benchmarking dashboard. (Link)
DocSumo: AI document processing for underwriting, extracting and digitizing financial and lease data. (Link)
Elise AI: AI property management platform automating leasing, resident communications, service requests, and payments. (Link)
AI Headshots for Real Estate: A tool to take quick pictures and turn them into professional AI headshots for any occasion. (Link)

Custom GPTs for CRE

Since custom GPTs were released by OpenAI in late 2023, we’ve been experimenting with and creating custom GPTs for commercial real estate. Below are several domain-specific GPTs we’ve built (now available to both paid and free users of ChatGPT).

Advanced Mortgage Amortization Schedule: A tool that simplifies the process of building a mortgage amortization table by taking a series of inputs and automatically filling them into our Advanced Mortgage Amortization Schedule Excel model.
Basic Real Estate DCF Model: A GPT that creates a basic DCF for the user, ultimately returning an Excel file to download with the results of the DCF including inputs, calculations, and return outputs.
Code Helper for Financial Models: A GPT to help quickly audit, assess, and improve VBA code in Excel Financial Models such as those found on A.CRE. This custom GPT helped build our Excel 4 CRE custom add-in.
Cover Letter Composer by A.CRE: A well-trained custom GPT that helps you draft a professional cover letter using a proven cover letter framework used by top universities and career coaches.
CRE Technical Interview Coach: Friendly guide for real estate interview prep, focusing on case studies and modeling. This GPT helps users learn knowledge they need to tackle real estate technical interviews.
Real Estate Case Studies Creator: A creative writer for real estate case studies. This GPT is tailor-built for young professionals looking to practice real estate financial modeling, professors looking to create cases for their lectures, and hiring managers wanting to build proficiency testing tools.
STNL Sales Comp Analysis Tool: A GPT that helps users analyze single-tenant net lease (STNL) sales comps by generating key metrics and insights from input data, streamlining the process for evaluating comparable property sales.
STNL Valuation Model Custom GPT: This GPT helps users perform valuations for Single-Tenant Net Lease (STNL) properties by guiding them through key inputs, including rent, cap rates, and tenant credit, to generate a comprehensive valuation model for investment analysis.

AI Coding Platforms and Tools

These platforms empower non-technical users—such as commercial real estate professionals and other subject-matter experts—to build applications without writing code. Sometimes called vibe coding platforms, they simplify development, automate workflows, and allow teams to rapidly prototype tools.

Lovable.dev: Lovable Cloud launched (October 2025), enabling full-stack app building with zero manual database or authentication setup. Lovable AI now lets users build custom AI-native apps—like chat assistants, avatar/image generators, and coaching tools—entirely through chat and voice.
- Embedded Gemini-powered AI is free for all new apps through October 13; new “turn files into apps” feature lets you instantly convert resumes, spreadsheets, and presentations into interactive software.
- Security features and admin controls have been expanded, and a recent 7-day challenge resulted in thousands of new projects and showcased builds. (Link)
v0.dev: Vercel’s v0 now supports direct image element editing in design mode (October 2025), allowing prompt-based regeneration and dynamic modifications—removing the need for Photoshop or third-party tools.
- The platform’s AI agent now offers experience for a wide range of roles (not just developers), and context-driven design adjustments are available.
- Recent iOS app beta, team templates, and quick palette/font/shadow changes make prototyping more powerful.
- Current models include v0-1.5-sm/md/lg, plus OpenAI GPT-5. (Link)
Bolt.new: StackBlitz’s browser-based full-stack development tool, requiring no local setup. Recent expansions added hosting, authentication, databases, SEO, payments, and analytics—transforming it into an end-to-end development and deployment platform.Link
RooCode (VS Code Extension): An AI-native VS Code assistant with multi-model support and plugin ecosystem. Recent updates brought clickable filenames, long-context support with GLM-4.5-Air (151k tokens), Grok Code Fast integration, Qwen CLI API access, and stronger security. Link
Cursor: A modern AI coding editor that enhances productivity with project-aware suggestions. Version 1.2 added more resilient background agents, Slack and PR integrations, and better conflict handling. New enterprise controls support AI-code tracking, admin blocklists, and exports. Link
OpenAI Codex: Now generally available, Codex uses GPT-5-Codex for agentic workflows, supporting adaptive thinking, multi-hour refactoring, comprehensive code reviews, and deep IDE integrations (VS Code, Cursor, GitHub PR automation, Rust CLI). (Link)
Claude Code: Anthropic’s developer-focused AI tool that understands codebases and executes tasks via natural language. Now available in Enterprise and Team plans, it includes compliance APIs, governance features, cost-tracking, and revised privacy policies extending retention to 5 years (with opt-outs). Link
Gemini Canvas: Google’s prototyping environment for apps, content, and internal tools powered by Gemini 2.5 Pro. New multimodal features allow prompting via camera and microphone, alongside upgrades to Deep Research, Veo 3 video generation, and Imagen 4 integration. Link
Glide Apps: No-code platform that enables operations teams to transform spreadsheets or database sources into fully functional, professionally styled web and mobile apps via drag-and-drop UI, integrated data management, workflow automation, and AI-assisted app building—all without writing a line of code. (Link)
Bubble: Bubble.io is a no-code platform that empowers non-technical users—from solo founders to enterprise teams—to visually design, develop, and deploy full-stack web applications. Its drag-and-drop interface, powerful workflow engine, built-in database, and API integration tools make it possible to build scalable, database-driven apps—like marketplaces, dashboards, or SaaS platforms—without writing any code. (Link)

Tools for Excel and Google Sheets

Claude for Excel. An Excel-addin built by the team at Anthropic, that brings the fully capability of Claude models natively into Excel for in-sheet modeling, sourcing, and audited outputs. (Link)
Excel 4 CRE Add-in. A free custom Excel add-in designed for commercial real estate professionals built by the team at A.CRE. Now includes AI-powered formula explanations, writing assistance, and Excel help, making it easier to understand, create, and debug financial models efficiently. (Link)
FormulaBot. Now a full-featured AI-powered data analysis and transformation platform. Users can connect, analyze, visualize, clean, transform, and enrich data across multiple sources, including Excel, Google Sheets, Google Analytics, and more. Features include AI-generated insights, automatic chart creation, SQL query generation, spreadsheet automation, and text-to-formula conversion. (Link)
SheetGod. Create intricate Excel formulas, macros, and automate manual tasks, using plain English and Google Appscript code snippets with the help of AI technology. (Link)
MS Copilot in Excel. Unlock insights, identify trends or create professional-looking data visualizations in a fraction of the time. (Link)
Formula Dog. This tool automatically converts text to Excel formulas, VBA code, and Regex, providing explanations along the way. Also compatible with Google Sheets, Airtable, and Notion. (Link)
GPTExcel. A tool that generates complex Excel formulas from plain text. (Link)
Endex: Currently an Excel-addin, this Excel-native AI agent seeks to offer in-sheet modeling, sourcing, and audited outputs. (Link)
Shortcut AI: Web-based and available directly live in Excel via a plugin, AI agent that helps automate spreadsheet tasks, including data cleaning, model building, and chart creation. (Link)
rrol AI: Rent roll parsing engine, that quickly and effortlessly turns messy multifamily rent rolls into usable Excel files (Link)

Tools for Writing, Document Creation, and Editing

LLMs. Use language prediction models to draft new and/or edit existing text.
- See ‘Natural Language Models and Interfaces’ section above for latest updates.
MS CoPilot in Word. Write, edit, summarize and create in Word. (Link)
CheckboxAI. Streamline document drafting, approvals, and e-signature process. The tool uses OpenAI’s GPT to help teams manage tasks and questions faster and easier. (Link)
Type. AI-first document creation and editing tool. (Link)
WordviceAI. Improve English writing with automatic error detection and correction capabilities. (Link)
DocuWriter.ai. This tool auto-generates documentation from source code for all programming languages. (Link)
BeautifulAI. Effortlessly create stunning presentations in minutes with AI-assisted design and smart slides. (Link)
Handl. Handl is an AI document platform that transforms documents into data for multiple industries. (Link)
QuillBot. AI writing assistant for faster and improved content creation. Includes tools for paraphrasing, summarizing, grammar checking, and generating SEO-optimized text across various writing tasks. (Link)

Tools for Organizing, Structuring, and Analyzing Real Estate Data

OpenAI Advanced Data Analysis (formerly Code Interpreter). ChatGPT functionality that enables users to upload various files and execute operations like data analysis, image transformation, and code modification via ChatGPT. Now a built-in feature of ChatGPT, the feature can manage file uploads and downloads in diverse formats such as CSV/Excel.
Trellis. AI-powered data platform that converts unstructured data from financial documents, voice calls, and emails into structured SQL format, enabling data teams to run queries and extract insights efficiently across 200+ data sources.
LlamaIndex. Data framework for building LLM applications, enabling enterprises to connect, index, and query data from 160+ sources, and integrate with 40+ vector stores and document stores for diverse use cases.

Real Estate Data – Sourcing, Structuring, Analyzing

This section highlights key tools that help commercial real estate professionals source, structure, and analyze data from diverse formats and platforms to generate actionable insights.

OpenAI Advanced Data Analysis (formerly Code Interpreter): Built-in ChatGPT feature that handles file uploads in diverse formats (CSV, Excel, etc.) for advanced analysis, transformations, and code execution.
(See use cases and instructions for using Advanced Data Analysis)
Trellis: AI data platform that converts unstructured inputs (financial docs, calls, emails) into structured SQL, enabling queries and insights across 200+ data sources.
(Link)
LlamaIndex: Framework for building LLM applications that connect, index, and query data from 160+ sources, with integrations across 40+ vector and document stores.
(Link)
HelloData AI: AI analytics platform for multifamily CRE, providing automated rent comps, pricing and concession data, property condition scoring, and benchmarking from millions of units. (Link)

Tools for Improved Communication

Flowrite. Have your daily emails and messages written for you across your browser with an AI email writer tool. (Link)
Clockwise. A conversational AI calendar assistant that simplifies scheduling by finding optimal meeting times, rearranging events, and managing calendar changes based on user preferences. (Link)
MS CoPilot in Outlook. Synthesize and manage the inbox in Outlook. (Link)
Relationship Coach AI. AI help and recommendations when responding to communications. (Link)
Poised 2.0. An AI communication coach for confident and clear speaking. (Link)
Yoodli. Yoodli is an AI-powered speech coach that provides free personalized communication feedback. (Link)
Usetwain. Twain is an AI assistant that helps sales/marketing teams with effective outreach. (Link)

Tools for Social Media

Lately. Convert long-form content into dozens of social media posts. (Link)
Heyday. AI bot that engages with social media audience in comments. (Link)
Omneky. Generates personalized social media ads using AI. (Link)
UpHex. Automate Facebook (and other online) advertising campaigns. (Link)
AI Social Bio. AI Social Bio generates social media bios using keywords and influencer inspiration. (Link)

Tools for Marketing

Jasper. Generative AI platform that tailors brand-specific content for your business. (Link)
Jacquard. AI generated email, push, SMS, web, app, and social ad content. (Link)
Smartwrite. Writes personalized marketing emails. (Link)
Voicebooking. Converts written text to AI-generated voice files. (Link)
Resemble AI. Create voiceover from text with human-like voices, including your own. (Link)
MarketingBlocks AI. Ethan is an AI assistant that generates landing pages and other marketing assets. (Link)
BrandWell. AI content platform for producing long-form, SEO-optimized articles and running an end-to-end content engine. (Link)

Tools for Image and Design

Midjourney. Leading AI image generator with Version 7, offering higher quality, improved prompt interpretation, and early video/3D capabilities. (Link)
4o Image Generation. OpenAI’s multimodal model for generating images directly from text prompts. (Link)
Flux. BlackForestLabs’ Flux.1 creates highly detailed images optimized for portraits, concept art, and marketing visuals. (Link)
Stability.AI. Suite of open generative design tools for AI image creation and editing. (Link)
Designs AI. AI-assisted design platform for quick creation of logos, videos, and graphics. (Link)
Adobe Sensei. AI framework integrated into Adobe products to simplify and enhance design workflows. (Link)
Adobe Photoshop. Uses Generative Expand to extend and edit images beyond their original scope with AI. (Link)
2Short AI. Converts long-form videos into short, platform-ready clips for TikTok, Instagram, and YouTube. (Link)
Deep Art Effects. Utilize artificial intelligence to conveniently and innovatively edit images. (Link)
Nano Banana (Gemini 2.5 Flash Image): Google’s new editor offering maskless multi-step edits and consistent object handling across images. (Link)
Krea AI: Real-time AI creative suite for generating, editing, enhancing, animating, and upscaling images and videos—up to ultra-high resolutions—via an intuitive canvas interface. (Link)

Tools for Video Generation

These tools enable users to create videos using AI, transforming text prompts, images, or scripts into dynamic video content. They are utilized for various applications, including marketing, training, and creative storytelling.

Sora: OpenAI’s Sora is now available as a standalone app for instant hyper-realistic video creation from text prompts, delivering realistic environments, kinetic motion, and atmospheric effects. Widespread usage is causing a shift in the trustworthiness of visual media—its realism is indistinguishable from professionally produced film, raising vital new questions about video authenticity. (Link)
Veo 3: Google’s Veo 3 now natively integrates audio and video generation (including lip-synced character voices), delivers cinematic quality clips up to 4K resolution, and is rolling out on YouTube Shorts for swift, creative video production. Veo’s “Fast” version offers lower-latency outputs at 480p with sound, available to millions of users for free in select regions. (Link)
HeyGen: HeyGen continues to expand its AI avatar studio, now supporting multi-language text-to-speech, digital doubles, and custom character lip-syncing for virtual humans. Its upgraded video pipeline enables richer avatar personality and scene rendering for marketing, training, and sales. (Link)
Kling AI: Kling now leads the market for affordable, highly realistic AI video generation with new “Elements” controls for customizing clips (start/end frames, perspective, environment). Kling’s lip-sync is rated the most realistic among AI tools, but video generation is slower (5–30 min/clip) and lacks integrated editing for longer projects. (Link)
Runway: Runway Gen-4 continues to push creative video boundary, offering advanced prompt editing (angle, weather, props), motion brush for dynamic movement, and real-time multi-step generation. Runway supports both creative experimentation for short films and commercial use for branded content. (Link)

Tools for Voice, Song and Audio Generation and Design

Suno AI. Generative song creation tool creates songs with a simple prompt. (Link).
- Suno AI V4.5 includes improvements in vocal clarity, enhanced instrumentals, and greater control over the composition process, enabling users to generate more sophisticated and high-quality music tracks. (Link)
ElevenLabs. AI-powered voice generator that converts text to natural-sounding speech in 29 languages, ideal for creating lifelike audio for videos, audiobooks, games, and chatbots. (Link)

Conclusion – AI for Commercial Real Estate

AI is already changing the way we work in CRE. At Stablewood we underwrote over 50,000 deals and automated the creation of dozens of deliverables using AI—so I’ve seen the impact firsthand. The tools we’ve highlighted here are representative of what’s available, and they’re helping professionals move faster, work smarter, and make better decisions.

But a tools list isn’t enough. The key is knowing which tool to use for what task and how to use them effectively. That’s where education comes in. Whether you’re tinkering on your own (which is how I learn!) or joining a community-based AI learning environment like the AI.Edge, what matters is that you’re learning by doing.

Want a free way to learn AI for CRE? Try my ‘30-Days to AI-Capable Challenge‘!

We’ll keep testing what’s new, sharing what works, and evolving as the tech does. AI is moving fast. So can we.

Frequently Asked Questions about AI Tools for Commercial Real Estate

Why is AI increasingly important in commercial real estate?

AI is becoming integral because it helps CRE teams process large volumes of financial data, automate repetitive tasks, and generate insights that inform strategic decisions. As the post states: “Artificial intelligence… is rapidly becoming an integral part of how work gets done in commercial real estate.”

What categories of AI tools are most relevant to CRE professionals?

Key categories include:

Natural language interfaces
Agentic platforms (both horizontal and vertical)
Purpose-built CRE apps
Excel and Google Sheets tools
AI coding platforms and tools
AI video generation tools
Writing/editing tools
Communication enhancers
Marketing tools
Data/image/audio generation platforms

Which natural language tools are highlighted in the guide?

The guide covers:

The guide also highlights Gemini Canvas, Claude Code, and OpenAI Codex as tools offering natural language support for building applications.
Each offers features like enhanced memory, image/audio generation, web browsing, and task-specific agents.

What are vertical AI agentic platforms and how do they serve CRE?

Vertical platforms are industry-specific AI systems tailored to unique workflows. For CRE, platforms like CRE Agents automate tasks across acquisitions, development, asset management, and brokerage, offering “Digital Coworkers for real estate.”

What are some purpose-built AI tools for specific CRE tasks?

Examples include:

CRE Agents – AI agent library (100+ tasks)
LeaseLens – lease abstraction
Prophia – asset and workflow management
Proda AI – rent roll processing
Elise AI – property management communication
DocSumo – document digitization
Archer – multifamily underwriting and deal pipeline automation

These tools focus on specific workflows, offering plug-and-play solutions.

What Excel and Google Sheets tools support CRE workflows?

Featured tools include:

Excel 4 CRE Add-in – AI-powered modeling help
FormulaBot, SheetGod, Formula Dog, GPTExcel – automate and generate formulas
MS Copilot in Excel – visualization and insights

These enhance data manipulation and analysis directly in spreadsheet environments.

What custom GPTs has A.CRE created for CRE professionals?

A.CRE has developed GPTs such as:

Advanced Mortgage Amortization Schedule GPT
Basic Real Estate DCF Model GPT
CRE Technical Interview Coach
STNL Valuation GPT
Real Estate Case Studies Creator

These help automate and educate across modeling, valuation, and career development.

How frequently is this AI tools guide updated?

The guide is updated at least quarterly or as major updates occur. According to the authors: “We will regularly release updated editions to this post… based on their adoption, continued development, and/or emergence.” The most recent update included new sections for AI coding tools and video generation platforms.

What is AI.Edge and how does it benefit CRE professionals?

AI.Edge is A.CRE’s AI intelligence membership—built exclusively for commercial real estate pros who want to thrive in an AI-first world. Each month, members receive a sharp dose of clarity, skills, and tools tailored for CRE.

Protection Against Obsolescence: The split is real. AI.Edge keeps you from falling behind with hands-on Skill Drops that teach you what actually matters now.
First-Mover Advantage: Gain exclusive AI tools and workflows before anyone else. You’ll operate 10x faster and smarter—winning deals others won’t even see.
Relief from Chaos: We cut through the AI noise with the Intelligence Brief—a CRE-specific digest of just the intel you need, before Monday hits.
Credibility & Reputation: Instantly elevate your identity with our AI-Native Foundation. Become the AI expert your team turns to when the stakes are highest.

AI.Edge is how the top 10% stay ahead. The rest? They’re quietly getting left behind. Learn more at: https://thecreedge.ai/

About the Author: Spencer Burton is Co-Founder and CEO of CRE Agents, an AI-powered platform training digital coworkers for commercial real estate. He has 20+ years of CRE experience and has underwritten over $30 billion in real estate across top institutional firms.

Spencer also co-founded Adventures in CRE, served as President at Stablewood, and holds a BS in International Affairs from Florida State University and a Masters in Real Estate Finance from Cornell University.

Contact Spencer

AI Tools for Commercial Real Estate (Summer 2026 Edition)

Regular AI Use Is the New Baseline