Problem

Commercial lending teams face a labor-intensive loan lifecycle: chasing and reconciling financial statements, rent rolls, tax returns, and debt schedules; manually spreading financials and drafting credit memos; and tracking covenants, closing requirements, borrower obligations, and service requests. The resulting pain is both operational and economic: banks struggle to grow loan books without proportionally increasing staff, servicing backlogs reduce visibility into borrower risk, and missed monitoring can allow covenant breaches to become defaults. Proximitty presents autonomous commercial-loan servicing and collections, including early delinquency detection, as a central use case, alongside faster underwriting. Its website claims 5x faster underwriting, 8x greater loan-analyst efficiency, 6,500 loans serviced per FTE, and fewer than 2% of unserviced loans ending in delinquency.

Product / Service

Proximitty is a vertical AI operating system for commercial lending, delivered as regulator-grade agents that operate across the loan lifecycle. The agents request, ingest, and reconcile borrower documents; automate financial spreading and credit-memo generation; maintain a unified layer for covenants and borrower obligations; handle service requests; and escalate potential breaches. Rather than requiring a bank to replace its core, loan-origination system, or servicing platform, browser agents use the existing interfaces and are designed to work without APIs or engineering lift. The company says it supports more than ten core systems and that most integrations go live in under two weeks, while its broader delivery model combines the software with lending experts and engineers who configure workflows and remain involved after deployment.

The product is designed for regulated environments: each agent has defined inputs, outputs, limitations, and guardrails; actions are logged and reviewable; and material decisions can defer to human reviewers. This makes the value proposition more than labor reduction. Proximitty is selling faster, more consistent, audit-ready underwriting and servicing, reduced operational expense, earlier detection of delinquency or covenant problems, and the ability to scale a commercial-loan book without scaling the operations team at the same rate.

Market

Proximitty competes in vertical fintech and financial-software automation for commercial lending, with an agentic-AI emphasis spanning underwriting, loan operations, covenant monitoring, borrower communications, and servicing. Its stated buyers are FDIC-insured banks, community and regional banks, credit unions, non-bank lenders, and fintechs, with an initial focus on C&I, CRE, and SBA loans. The competitive set includes incumbent lending and loan-management platforms such as nCino, Abrigo, Moody’s, FIS, and Fiserv. nCino markets an end-to-end commercial-lending platform, Moody’s offers end-to-end lending and portfolio-management software, and Abrigo sells commercial-lending software; Proximitty’s browser-agent approach is positioned as an automation layer that can sit alongside these systems rather than replace them.

The company is an early-stage, venture-backed entrant rather than a mature scaled vendor. Y Combinator lists it as an active Winter 2026 company with a two-person team and one open role. Proximitty’s customer page claims adoption by teams ranging from top-20 banks to high-growth fintechs and includes an anonymous fintech-lender testimonial, while a third-party YC analysis repeats a claim of five large bank and fintech customers processing more than $1 billion of delinquent loans within three weeks; those claims have no named customers or public revenue figures to independently verify. PitchBook reports $500,000 raised and labels recent financing events as generating revenue, but its current-revenue field is blank, so the most defensible characterization is early commercial traction with claimed customers, not confirmed scale or clearly documented recurring revenue.