Financial Risk Profiler
Datanomers · Finance & Accounting
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Datanomers AI (NLP and ML) big data
platform builds the use case: Financial Risk Profiler (FRP) to
Show the rest of the publisher’s description (23 more lines)
- Provide
leading-indicator
credit risk information
from the web, summarized in a dashboard, neatly categorized in multiple tabs
- Automate
credit risk assessment for
commercial underwriting
- Quicker,
consistent and better loan outcomes
- Cloud-based
solution with fee based on monthly transactions
Web data has latest info on credit, leading-indicator -> complements core financials.
How does FRP differentiate:
- Credit Bureaus web data delayed by manual screening, no longer fresh and latest
- Startups geared towards stock equities, hedge funds, asset managers -> provide financial information from limited number of curated web sites
- FRP provides financial information from a billion web sites (social media, news reports, govt registries, SME website, etc) -> very importantly, adds further value by extracting business intelligence from data to better predict loan outcomes -> intelligence made actionable
Vision for FRP: democratize access to capital, especially for SMEs -> complements the thin financials, with web data, to lend to more, without increasing risk.
Milestones for FRP: 5 banks (BMO, AmEx) and FinTechs (Fundation, Quarterspot) are customers.
Banks need FRP to lend to SMEs with confidence – loan origination and portfolio monitoring:
Underwriter Productivity: Get latest information from billions of web sites about credit risk, neatly categorized for ready consumption -> eliminates keyword-based search engines that hit you with spam -> 10-15% increase in underwriter productivity
Reduce Defaults: Extract predictive intelligence from textual data by combining it with financials -> customized ML model to reduce defaults 5-15%, lend more with same risk -> actionable intelligence
Very easy to trial, no bank IT effort -> transmit anonymized data, we return results
Easily deployable and scalable on the cloud (e.g. Azure VMs, Azure Load Balancer, etc.).
Preview
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
7 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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