Cherre
Real estate data intelligence platform that unifies property, financial, and market data into a single connected layer, powering decisions across $3.3T in AUM.
Last reviewed 6/2/26
How Cherre uses AI[1][2][3]
Cherre builds a real estate knowledge graph that connects properties, addresses, people, and companies, then runs machine learning to resolve which records across many sources describe the same property. Its Agent.STUDIO platform lets clients build custom AI agents on that unified data.
- • Knowledge graph links properties, addresses, owners, and companies into connected nodes and edges
- • Machine learning entity resolution matches records across disparate data sources to one property
- • Agent.STUDIO builds and deploys custom AI agents on connected client data
- • Model-agnostic architecture lets clients switch between AI models without lock-in
AI type: Machine Learning, Knowledge Graph, AI Agents
What it helps you do
Built for
Key numbers
- • Powers $3.3T+ in AUM globally
- • 3.3B+ addresses in knowledge graph
Credibility
- Founders
- L.D. Salmanson (CEO, Wharton MBA) and Ben Hizak (COO, prev. co-founded Sirenum)
- Customers
- Claims 7 of top 10 institutional investors use the platform
- Investors
- HighSage Ventures, Trustbridge Partners, Intel Capital, Navitas Capital, Nuveen Real Estate
- Case Studies
- PropTech Breakthrough Award: Data Management Platform of the Year (2023, 2025)
Founded
2016
Headquarters
New York, NY
Stage
Series C
Employees
51-200
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