The open web,
refracted into
lending intelligence
RiskGlass.ai turns 1 billion crawled web pages into 30M+ risk-scored SME lending prospects — the data layer modern lenders are missing.
Lenders are flying blind on small business
There are tens of millions of small businesses, but the data to find and underwrite them is fragmented, stale, and expensive. RiskGlass closes that gap with web-scale coverage and explainable scoring.
Of SMEs are hard to source
Most small businesses leave a thin, scattered footprint across the web — invisible to legacy data vendors built for enterprises.
Data ages fast
Traditional business databases refresh slowly. By the time a lender acts, the signal is months old and the opportunity is gone.
Black-box scores
Off-the-shelf risk scores can't explain themselves — a non-starter for credit teams that need auditable reasoning.
A multi-billion-dollar data layer
RiskGlass sits at the intersection of business data, alternative data, and SME lending infrastructure — large, growing, and underserved at the small-business end.
A compounding data advantage
Every monthly crawl deepens the index and widens the moat. The asset gets more valuable — and harder to replicate — over time.
Scored SME index growth
Millions of SMEs · illustrative trajectoryWhy RiskGlass wins
Four reasons this becomes the default data layer for SME lending. Switch tabs to dig in.
A proprietary, self-reinforcing data pipeline
RiskGlass refines the raw open web down to scored, query-ready prospects — a pipeline that's expensive to build and compounds with every crawl.
- Web-scale, not list-scale. Coverage legacy vendors can't match at the small-business tail.
- Freshness as a feature. Monthly full refresh keeps signal current while competitors decay.
- Explainable by design. Every score carries auditable reasoning credit teams can trust.
- Compounding asset. Each crawl widens the gap — replication cost rises over time.
One index, three ways to monetize
The same data asset is sold across self-serve, agent, and system channels — expanding the market without rebuilding the product.
Self-serve seats
Conversational dashboard for analysts and lending teams to search, refine, and export prospects.
Agent tooling
A drop-in Model Context Protocol server that lets AI agents query the index on demand.
Enterprise API
Deterministic, versioned data for underwriting pipelines and batch enrichment at volume.
The clear pick across what matters
Against legacy data vendors and in-house research, RiskGlass leads on coverage, freshness, and explainability — at a fraction of the cost per qualified lead.
| Capability | RiskGlass.ai | Legacy data vendors | In-house / manual |
|---|---|---|---|
| Web-scale SME coverage | |||
| Monthly data freshness | |||
| Explainable risk scoring | |||
| Conversational search | |||
| Agent-ready (MCP) + REST | |||
| Cost per qualified lead |
From data asset to lending platform
Coverage is built. Next we deepen scoring, embed into lender workflows, and expand the index.
- Web-scale crawl pipeline
- 30M+ scored SME index
- Conversational dashboard
- Explainable scoring v2
- MCP server
- REST API general availability
- Lender CRM integrations
- Real-time risk signals
- Expanded verticals
- International coverage
- Predictive default models
- Data marketplace
See a query become scored prospects
Try it free →Pick a question the way a lending analyst would ask it. RiskGlass parses it, scans the index, and returns explainable, risk-scored SMEs — instantly.
Let's talk about the round
Request the full investor deck — market model, data moat, financials, and roadmap — or book a 20-minute intro with the founder.