Atrium is an AI-powered intelligence platform that unifies bank filings and real estate lending data to deliver real-time, loan-level insights for investors, analysts, and bankers. The platform enables users to quickly assess credit risk, trace commercial real estate exposure, and benchmark peers using enriched data feeds. This unified view allows finance professionals to act on market-moving developments and credit events faster than traditional methods.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Investors, analysts, and bankers must piece together disparate bank filings, mortgage records, and real‑estate lending data to evaluate credit risk and commercial‑real‑estate (CRE) exposure. The manual aggregation of these sources is time‑consuming, error‑prone, and often lags behind market events, limiting timely decision‑making.
Solution
Atrium delivers an AI‑powered intelligence platform that consolidates bank regulatory filings, county property records, and loan‑level lending data into a single, searchable repository. The system enriches raw filings with ownership profiles, loan‑to‑value ratios, and historical filing activity, providing a real‑time view of each bank’s CRE portfolio. Proprietary machine‑learning models generate conviction signals—such as emerging foreclosures, sponsor distress, or balance‑sheet shifts—at the moment they appear. Integrated earnings‑call transcripts are parsed for sentiment and key credit metrics, linking analyst questions to rating outcomes. Users access the insights through interactive dashboards, peer‑comparison tools, and a RESTful API that can be embedded in existing workflow systems. Role‑based access controls and end‑to‑end encryption ensure compliance with data‑privacy regulations while supporting rapid, data‑driven decisions.
Target Audience
Primary users are institutional investors, credit analysts, and commercial bankers who need granular, up‑to‑date insight into banks’ CRE and multifamily loan exposures for underwriting, portfolio monitoring, and competitive benchmarking.
Features
- Automated ingestion pipeline that normalizes FDIC Call Reports, SEC filings, and county land‑record datasets into loan‑level granularity
- AI‑derived conviction signals flag high‑impact credit events (e.g., foreclosure filings, sponsor distress) the instant they are recorded
- Enriched loan profiles include property details, LTV, ownership chain, and historical filing trends for deep risk attribution
- Earnings‑call transcript engine extracts speaker sentiment, maps analyst questions to credit ratings, and highlights key metrics in real time
- Interactive web dashboard with heat‑maps, peer benchmarking, custom chart builder, and drill‑down to individual loan documents
- FHIR‑compatible API and webhooks for seamless integration with portfolio‑management, risk‑analytics, and compliance platforms
- Enterprise‑grade security: role‑based permissions, audit logging, and AES‑256 encryption of data at rest and in transit
- Configurable alert system that delivers email or webhook notifications based on user‑defined signal thresholds