An alternative-data credit risk platform for lenders working with thin-file borrowers — applicants and existing customers who don't show up well in a traditional bureau score.
Covers new-applicant underwriting and ongoing monitoring of existing borrowers, with every score explainable down to the factors that drove it, and decision thresholds set by business policy rather than a default statistical cutoff.
Catches what your AI assistant missed. AI coding assistants import packages that do not exist and reach for patterns that were safe years ago — code that looks correct can still be wrong.
Today it scans Python, JavaScript and TypeScript projects and flags imports of packages that do not exist on npm or PyPI, with the file, the line and a reason you can verify yourself. It runs alongside the tools a team already uses — a second check, not a replacement.
The core detection engine works. We're looking for a few teams to try it early. Reduces risk — does not guarantee detection of every issue.