Cambio
Also known as: Cambio.ai, Cambio AI
AI native commercial real estate operations platform, built by former institutional investors, that uses large language models and agentic workflows to reason across thousands of pages of unstructured building data, automate compliance reporting, and surface ROI ranked retrofit investments across entire portfolios.
Cambio is the AI native commercial real estate operations platform, founded in 2022 by Leia de Guzman, formerly Investments Director for Oxford Properties Group and OMERS, and Stephanie Grayson, who launched platforms at Goldman Sachs, KKR, and JPMorgan, who met while earning their masters degrees at Stanford. The company went through Y Combinator in summer 2022, spent time in research mode, and announced its public launch alongside an eighteen million dollar Series A on January 22, 2026, led by Maverick Ventures at a one hundred million dollar valuation, with total funding of about twenty two million dollars and angels drawn from OpenAI, Anthropic, Notion, and other technology leaders.
The product is built from the ground up around agentic AI rather than the static rules and manual inputs of legacy real estate software. Cambio uses large language models and agentic workflows to reason across thousands of pages of unstructured building data, run multi step analyses, and continuously adapt as regulations, assets, and market conditions change, compressing months of manual review into minutes. For asset managers, sustainability leaders, investors, and property managers, it unifies building data, automates compliance reporting, and identifies ROI ranked retrofit investment opportunities across hundreds or thousands of buildings at once. The platform ingests building attributes like age, asset class, size, and location, assesses performance, flags retrofit potential, and generates capital expenditure strategies, reframing regulatory compliance from a static reporting obligation into a continuously learning decision engine. Cambio is SOC 2 Type II compliant, ISO 27001 certified, and built to meet GDPR requirements. It counts among its customers Principal Real Estate, Nuveen Real Estate, BGO, LaSalle Investment Management, Oxford Properties Group, Madison International Realty, and Beacon Capital Partners, and has launched across more than thirty five countries and over two billion square feet of assets.
Cambio fits institutional commercial real estate investors, private equity real estate firms, and asset managers who need to turn sprawling building data into investment grade capital planning and compliance decisions. It runs an enterprise SaaS model and is a weaker fit for buyers wanting published pricing or a self serve product.
Vendor details
Canonical URL
https://www.cambio.ai
Category
Enterprise operations agent
Subcategory
Agentic AI for commercial real estate capital planning and compliance
Funding status
Independent, founded in 2022 by co founders Leia de Guzman, formerly Investments Director for Oxford Properties Group and OMERS where she deployed eight billion dollars globally, and Stephanie Grayson, who launched platforms at Goldman Sachs, KKR, and JPMorgan; the two met at Stanford. Participated in Y Combinator's summer 2022 cohort, then announced its public launch and an eighteen million dollar Series A on January 22, 2026 led by Maverick Ventures at a one hundred million dollar valuation, bringing total funding to about twenty two million dollars. Investors include Y Combinator, Adverb Ventures, Peterson Ventures, and angels from OpenAI, Anthropic, Notion, Procore, Vanta, Vercel, ServiceNow, and Amplitude. Roughly sixty employees, headquartered in San Francisco with a London office. CTO is Leon Chen, formerly of Faire.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Automatically ingests a wide array of building data from diverse property sources including spreadsheets, PDFs, invoices, utility bills, energy audits, regulatory filings, and building assessments, harmonizing thousands of pages of unstructured documents into structured, investor grade inputs. Deployed across portfolios in more than thirty five countries covering over two billion square feet of assets.
In practice
An asset manager holds thousands of buildings and no practical way to see which retrofits pay off. Cambio ingests the unstructured building data, ranks retrofit opportunities by ROI, and generates capex strategies in minutes instead of months.
A compliance deadline looms across a multi country portfolio. Cambio automates the reporting and adapts continuously as regulations shift, turning a static obligation into an ongoing decision engine.
A fund evaluating a portfolio acquisition needs investment grade analysis of building performance fast. Cambio reasons across spreadsheets, PDFs, invoices, and energy audits to deliver a defensible view of decarbonization potential and returns.
Sources & related URLs
Related / legacy domains
Research sources
Capability coverage
7.0 / 14 capabilities · 50%
| Integrations & Tool CallingAutomatically ingests diverse building data sources including spreadsheets, PDFs, invoices, utility bills, energy audits, regulatory filings, and building assessments across portfolios, cambio.ai and PromptLoop directory retrieved 2026-07-08 | Full |
|---|---|
| Workflow OrchestrationAgentic AI workflows reason across unstructured data, run multi step analyses, and continuously adapt as regulations, assets, and market conditions change, generating capital strategies end to end, BusinessWire release and cambio.ai retrieved 2026-07-08 | Full |
| Knowledge Grounding & RAGLarge language models ingest, reason over, and synthesize thousands of pages of unstructured building documents to deliver investment grade decisions grounded in the portfolio's own data, Crunchbase News and BusinessWire release retrieved 2026-07-08 | Full |
| Human Oversight & GuardrailsThe platform delivers ROI recommendations and capital strategies that investors evaluate and act on, keeping humans in the decision loop, though a documented agent guardrail or approval framework is not described, BusinessWire release retrieved 2026-07-08 | Partial |
| Security, Identity & GovernanceCambio is SOC 2 Type II compliant with independently audited controls, ISO 27001 certified, and built to meet GDPR requirements, all stated on the company site, cambio.ai retrieved 2026-07-08 | Full |
| Observability & AuditabilityThe platform produces audit ready compliance reporting and tracks building performance as domain output, but agent level run tracing and auditability are not documented, cambio.ai and Crunchbase News retrieved 2026-07-08 | Partial |
| Memory & State PersistenceDescribed as a continuously learning decision engine that adapts as regulations, assets, and market conditions change across the portfolio, though a documented agent memory architecture is not described, BusinessWire release retrieved 2026-07-08 | Partial |
| Deployment & Data ResidencyDelivered as cloud enterprise SaaS; GDPR compliance and a London office indicate EU operation but no self hosted or data residency options are documented, cambio.ai and Crunchbase News retrieved 2026-07-08 | Unable to verify |
| Prebuilt Agents, Templates & PacksShips a complete suite of products for mission critical CRE workflows including capital planning, compliance reporting, and retrofit analysis, ready to run out of the box per the prebuilt vertical product precedent, YC profile and cambio.ai retrieved 2026-07-08 | Full |
| Triggers & Channel CoverageThe platform automatically collects building data to empower workflows and continuously adapts, but a documented event trigger or channel framework is thin, YC profile and BusinessWire release retrieved 2026-07-08 | Partial |
| Model Flexibility & RoutingThe platform uses large language models internally, but customer model choice or routing is not documented, BusinessWire release retrieved 2026-07-08 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityNo public developer API, SDK, or MCP surface is documented on retrieved pages; the product is delivered as a finished enterprise application, cambio.ai retrieved 2026-07-08 | Unable to verify |
| Testing, Debugging & OptimizationNo testing, evaluation, or optimization tooling is documented on retrieved pages, cambio.ai retrieved 2026-07-08 | Unable to verify |
| Browser & Computer UseNo browser or computer use capability is described on retrieved pages, cambio.ai retrieved 2026-07-08 | Unable to verify |
Pricing
No public pricing; enterprise SaaS contracts are quoted through sales
enterprise SaaS; axis not published, likely scales with portfolio size and buildings under management
What is public
Nothing numeric. The company confirms an enterprise SaaS revenue model and describes its products, customers, and scale, but publishes no rates.
Billing mechanics
Enterprise SaaS revenue model confirmed by Crunchbase News, sold directly to institutional real estate investors, private equity firms, and asset managers.
Cost watchouts
As a portfolio scale platform, cost likely tracks the number of buildings, square footage, and geographies under management, so large multi country estates should expect contracts to scale accordingly.
Variable cost rationale
No public rates exist. As an enterprise SaaS platform operating at portfolio scale across thousands of buildings and billions of square feet, cost presumably scales with the size of the managed estate rather than pure usage, but the company publishes no mechanics, so treat exposure as unquantified and quoted per deal.
Additional watchouts
Deployments span portfolios across more than thirty five countries and over two billion square feet, so scope and pricing presumably scale with the size of the estate rather than a flat platform fee.
Sales call required
Yes — required for paid access
Free / trial
No free tier or trial is documented on retrieved pages
Key ambiguities
Whether pricing scales by buildings, square footage, assets under management, or seats.
Missing data
No published rates, tiers, minimums, or contract terms were retrievable from company or third party pages.
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