What it sells
AI powered reconciliation for high-volume payments companies
Business model breakdown
Buyer: who owns the budget?
Head of Finance and engineering leads at payments companies.
Trigger: what makes them buy now?
Reconciling large batched payments against transactions becomes a manual burden; alternative is building in-house over 6-18 months.
Workflow: what inputs become what output?
Ingest bank/PSP/warehouse data (Stripe, NACHA, Snowflake), rules-based exact/fuzzy/many-to-many matching, AI agents resolve exceptions with audit trail.
Economics: what it saves and how it charges
Sold against build-in-house cost; claims 99.999% automation and 2-6 weeks to live vs 6-18 months in-house.
Distribution: how it reaches customers
Demo-led sales (Book a demo); ROI calculator as lead tool.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.