We collect messy, public financial product information and transform it into structured, versioned and auditable datasets. Loans, interest rates, fees and conditions become comparable — across providers, time and markets.
Our platform is built for consultants, analysts and platforms that need factual clarity — not scraped text, screenshots or one-off spreadsheets.
Structured data → Intelligence engines → Decisions
Schema-driven
Data versions
By design
We turn unstructured public product pages into reusable, structured intelligence — and keep it consistent over time.
We treat structured financial data as a first-class product. Every value is normalized, versioned and traceable back to its source.
You define immutable schemas that act as data contracts. This guarantees consistency across time, sources and calculations.
Every record includes provenance metadata: source URL, extraction time, schema version and transformation context.
Our engines transform structured data into calculators, comparisons and analytics that support real decisions — not marketing claims.
1. Define schemas
Schemas are immutable data contracts that define how products are structured. Once created, they never change.
2. Collect data
Automated scrapers extract public product information and normalize it into your schema.
3. Build engines
Engines define how structured data is presented: comparisons, calculators, analytics and reports.
4. Execute intelligence
Engines compute results only when new data or analytics are required. Viewing saved results is always free.
5. Publish or integrate
Publish engines under your own subdomain/domain or consume results via API.
• Financial consultants comparing products for clients
• Marketplaces needing verified product data
• Analysts tracking changes across providers and time
• Platforms embedding comparison or calculator engines
Start structuring, comparing and analyzing financial products with full transparency and control.