Cherre review
By Jan Suski. I go deep on every review, checking every number against its source and digging up details other coverage misses, a habit from six years of SEO and link building for tech companies. Bylines at Surfer, Brand24, and Senuto. How the scoring works.
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Best for
Real estate institutions managing complex, multi-source portfolios that need data unified across more than 150 partner feeds.
Not for
Solo operators or small teams with a tight budget or no in-house analytics function; rollout complexity works against them.
What it costs
No published rate card. Every quote is customized on data volume and need, arranged through direct contact.
- Universal data model
- Accepts structured and unstructured data from any source
- Knowledge graph
- Resolves entities, linking assets, owners, markets and transactions
- Record lineage
- One property record traced through every entity that touches it
- Agent STUDIO
- AI agents querying data across acquisition and reporting workflows
- Analytics
- Advanced analytics and reporting run on the unified record
- Market views
- Market trend tracking and market views built for real estate firms
- Portfolio reporting
- Performance and risk surfaced across systems that never connected
- Source validation
- Source records checked against the entity graph and marked validated
- Partner feed checks
- Every partner feed re-verified during a routine security audit
- Session verification
- A security check runs on every login and endpoint before data loads
- Blocked-request logging
- Each blocked page logs a respond ray ID that support pulls
- Audit export
- Weekly security export carrying those respond ray IDs for auditors
- Trust documentation
- Security clearance published; procurement skips the follow-up call
- Certification
- SOC-2
- Published rates
- None; Cherre's pricing is not publicly disclosed
- Quote basis
- Customized on customer needs and data volume
- Buying route
- Contact Cherre; typical of platforms serving mid-to-large organizations
- Implementation
- Needs expertise and realistic budgets given the platform's complexity
- Reported return
- Case studies describe customers saving millions in analytics costs
Coverage
- Data partners
- Over 150, integrated into one source of truth
- Assets covered
- Roughly $3.3 trillion in assets managed globally on the platform
- Geographic reach
- Serves investors and property managers whose financial systems span more than one country
Alternatives to Cherre
Cotality
Not forTeams whose problem is joining five feeds they already license, because Cotality replaces one of them & leaves the join.
ATTOM
Not forBuyers with no engineer to model the file, because ATTOM ships data & leaves the product to you.
Pairs well with Cherre
Which Cherre figures are the company's own numbers
The 150-plus data partner count, the roughly $3.3 trillion in assets and the millions saved on analytics costs are all Cherre's own published figures, the last one drawn from its case studies. None is independently audited. Cherre discloses no rates at all, so any price a buyer sees is a quote built around their data volume. The security posture, including the SOC-2 backing and the respond ray ID logging, is documented on Cherre's own trust page. Checked 31 July 2026.
Cherre is a real estate data management platform integrating datasets from over 150 data partners into a single source of truth. This Cherre review covers what Cherre does, its knowledge graph, its security practices, and who it fits.
Cherre powers the management of roughly $3.3 trillion in assets globally, serving investors and property managers whose internal financial systems span more than one country.
↑ FACT SHEETWhat Does Cherre Do?
Cherre centralizes real estate data to eliminate silos, tracking market trends and building market views for real estate firms, with early AI agents added recently for operational data analysis.
Cherre empowers customers to evaluate opportunities, connect decision makers, and make smarter decisions using enriched insights, market information, and business analytics, spotting market trends faster than manual data collection, with access to shared data across the community. Companies lean on that data confidence and shared insight for board-level risk validation, gaining reliable workflows tracked across every portfolio.
What Does the Name Cherre Mean? How Do You Pronounce It?
Cherre is generally pronounced sherr-ay, echoing older French-derived names built on the word for dear or beloved, though the company has not published an official guide, so it can sound different depending on who says it.
Who Is the CEO of Cherre?
L.D. Salmanson co-founded Cherre in 2016 with Ben Hizak and remains CEO, building it into a real estate data leader.
The Universal Data Model and Knowledge Graph
Cherre's universal data model accepts structured and unstructured data, letting the platform collect data from any source. Cherre's knowledge graph resolves entities and links records, modeling assets, owners, markets, and transactions so a team traces one accurate property record through every entity touching it.
That graph turns real estate data management from manual data collection into a live map, giving organizations a consistent data foundation and the ability to surface portfolio performance and risk disconnected systems never reveal, backed by validated customer confidence.
↑ FACT SHEETPlatform Features and Customer Results
Cherre's platform supports advanced analytics, reporting, and AI tools through Agent STUDIO, letting customers query enriched data across acquisition and reporting workflows. Implementation requires expertise and realistic budgets given its complexity.
Cherre positions itself as a leader in real estate data management, and its case studies describe customers saving millions in analytics costs after replacing manual data collection, with additional case studies pointing to faster underwriting once decision makers work from validated numbers. Larger firms adopt Cherre fastest, though mid-sized firms are a growing share of customers.
Bot Protection and Security Verification
Cherre's website sits behind multiple layers of security, and every website visitor passes a security verification check before reaching live data. A security service verifies the session is not one of the malicious bots that regularly probe login pages, and a verification successful message clears the way once the bot check passes.
If the check instead flags the visitor as one of the malicious bots working through a list of pages, the platform blocks the request outright to protect the account, and every blocked page logs a respond ray ID reference number for support. Support pulls that respond ray ID to see what happened, and the same reference shows up when a legitimate user is flagged as a bot.
A Second Layer on Every Session
A second website session repeats the pattern: another security verification step runs as part of a broader security review, the security service verifies traffic again, and a fresh verification successful result appears before the page loads.
Enterprise clients see this same bot and security verification routine on every login page and website endpoint the security service protects, since malicious bots targeting real estate portals are common across the industry.
A single unprotected page could let malicious bots scrape portfolio data the security service exists to protect, and the system verifies every request.
Respond Ray ID and Ongoing Data Validation
Together, a working security service, a clean verification successful result, and a respond ray ID protect the account and confirm the session isn't a bot. This same discipline covers data itself: Cherre verifies source records against that entity graph, marking each one validated, and the security team applies that verification successful standard to every partner feed during a routine security audit.
A respond ray ID also appears in the weekly security export auditors request as part of a security incident review, and malicious bots blocked that week get logged the same way.
Security Documentation for Buyers
Buyers can review that security posture on Cherre's website, and the trust page walks through how the system verifies every session under its security clearance process. A final security check rounds out the picture: bot activity, a verification successful log, and security verification steps are documented together so procurement teams do not need a follow-up call.
That security verification documentation, hosted on the website, is usually enough to satisfy a buyer's own security review before a single bot ever gets close to a live account.
↑ FACT SHEETPricing
Cherre's pricing is not publicly disclosed. Pricing is customized based on customer needs and data volume, and prospective buyers must contact Cherre for pricing information. The model is typical for enterprise platforms serving mid-to-large organizations. For comparison, ATTOM publishes a $499-a-year Property Navigator seat, and our ATTOM Data pricing report shows how its quoted API is metered.
Who Is Cherre Best For?
Cherre fits investors, asset managers, and property managers across commercial real estate who need one accurate property record that replaces conflicting exports. It is less likely to fit small businesses without dedicated analytics expertise.
FAQ
What does Cherre do?
Cherre is a real estate data management platform that unifies real estate data from over 150 partners into one source of truth for investors, asset managers, and property managers.
What does Cherre mean?
Cherre is an invented brand name; it is not a real estate term and does not describe the product directly.
How do you pronounce Cherre?
Most people say sherr-ay, though Cherre hasn't published an official pronunciation guide.
Who is the CEO of Cherre?
L.D. Salmanson, who co-founded the company with Ben Hizak in 2016.
Is Cherre the same company as Cherry, iHireAccounting, or Here Technologies?
No. Those are unrelated companies and a movie; the similar names are a common source of confused searches, and this review covers only the real estate data platform Cherre.
Bottom Line
Cherre gives real estate organizations a single, secure foundation for real estate data otherwise scattered across internal systems and feeds. The entity graph and universal data model are genuine differentiators for organizations managing complex portfolios, and SOC-2 security backing, including routine verification successful checks, makes the platform reliable for institutional use.