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Proximitty

Proximitty provides regulator-grade AI agents that automate the full commercial loan lifecycle—from document ingestion and financial spreading to covenant monitoring and borrower servicing—for C&I, CRE, and SBA loans. Its computer vision engine parses messy, scanned statements at over 99.8% accuracy, and its browser agents integrate with any banking system without APIs or engineering resources.

Traction 10/10
HQ unknown
Founded 20262500+ followers
  • Financial Technology
  • AI Agents
  • Artificial Intelligence
  • Software Only
  • Regulatory & Compliance Technology
Updated 13 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Commercial lenders at community and regional banks, credit unions, and non-bank lenders rely on manual processes and legacy tools to spread financials, monitor covenants, and service borrowers. Legacy spreading tools are inaccurate roughly half the time, requiring heavy analyst rework, and existing systems like nCino, Abrigo, and Moody's only document what happened rather than taking action. This inefficiency slows loan origination, increases operational risk, and strains compliance and model risk management teams.

Solution

Proximitty provides regulator-grade AI agents that handle every step of the loan lifecycle—ingesting documents, spreading financials, monitoring covenants, and servicing borrowers—specifically for C&I, CRE, and SBA loans. The platform uses computer vision built for real-world documents, parsing blurry, scanned, or messy statements at over 99.8% accuracy, with human-in-the-loop validation on final outputs. Unlike systems of record, Proximitty acts as a system of action: its agents make calls, send messages, update borrower records, and escalate exceptions. The platform integrates with any banking system in under three weeks using state-of-the-art browser agents that operate existing interfaces—no APIs, no engineering lift, no IT tickets. A governance layer ensures every agent action is observed, logged, and reviewable, with configurable human-in-the-loop checkpoints and strict guardrails for full auditability.

Target Audience

Primary customers are commercial lenders at community and regional banks, credit unions, and non-bank lenders—specifically Chief Credit Officers, heads of commercial lending, loan operations leaders, and servicing leaders, as well as MRM, compliance, and CISO teams needing audit trails and monitoring.

Features

  • AI agents that automate document ingestion, financial spreading, covenant monitoring, and borrower servicing across the full loan lifecycle
  • Computer vision engine that parses blurry, scanned, or messy statements at >99.8% accuracy, with human-in-the-loop validation on final outputs
  • Browser agents that integrate with any banking system without APIs or engineering resources, supporting 10+ core systems including Fiserv DNA, Fiserv Premier, FIS Horizon, FIS IBS, Jack Henry SilverLake, Jack Henry CIF 20/20, Finastra Phoenix, Temenos Transact, CSI NuPoint, and Oracle FLEXCUBE, plus loan origination and servicing platforms like nCino, Abrigo, and Moody's
  • Governance layer with observed, logged, and reviewable agent actions, plus configurable human-in-the-loop checkpoints on any step
  • Strict guardrails including scoped tools, approved templates, and policy-bound parameters to ensure agents operate only within defined boundaries
  • SOC 2 Type II certified with AICPA SOC compliance, designed for model risk management and regulatory examination readiness
This profile is AI-generated and may contain inaccuracies.