Proximitty
Product & Competitive Intelligence
Autonomous loan servicing with AI agents for collections, compliance, and borrower engagement.
Company Overview
Builds an autonomous business loan servicing platform that uses AI agents to automate collections, compliance monitoring, skip tracing, and borrower engagement for banks and fintechs.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
No official public roadmap has been disclosed. Based on YC Demo Day materials and limited public signals, Proximitty has indicated capabilities in autonomous collections workflows, multi-jurisdictional compliance monitoring, skip tracing automation, and financial data extraction from unstructured borrower communications. Their public positioning emphasizes "autonomous business loan servicing teams" powered by AI agents.
Signals & Private Analysis
GitHub and hiring signals are minimal, suggesting deep stealth mode. However, the claim of onboarding five bank/fintech customers processing $1B+ in delinquent loans within three weeks of launch hints at strong early enterprise traction and pre-built integrations with core banking systems. The agentic AI framing and YC W26 batch timing align with a wave of LLM-native vertical SaaS startups targeting regulated industries. Likely building toward automated remediation workflows, real-time regulatory change monitoring, and hybrid human+AI escalation paths for complex servicing scenarios. Conference and demo day appearances suggest imminent broader launch.
Product Roadmap Priorities
AI agents autonomously execute collections workflows including skip tracing, right-party contact optimization, and multi-channel borrower outreach to recover delinquent business loans.
An AI agent tracks down the right person at a delinquent business, figures out the best way and time to reach them, and handles the entire collections conversation without a human lifting a finger.
It's like having a tireless, hyper-organized collections agent who never forgets a follow-up, always knows the rules in every state, and somehow always calls at the exact right moment.
LLMs automatically extract, classify, and structure financial data from unstructured borrower documents such as tax returns, bank statements, and email attachments to power real-time servicing decisions.
The AI reads through messy tax returns, bank statements, and emailed financials and instantly turns them into clean, structured data that the servicing platform can act on.
It's like having a CPA who can speed-read every financial document a borrower has ever sent, instantly highlight the important numbers, and never misfile a single page.
ML models continuously score borrower health and predict default risk using alternative data, payment behavior, and extracted financial signals to enable proactive servicing interventions before loans become delinquent.
The AI watches every signal from a borrower—payment patterns, financial health, even subtle behavioral changes—and raises a red flag weeks before a loan is likely to go bad, so the servicing team can step in early.
It's like a weather forecast for loans—instead of waiting for the storm to hit, you see the clouds forming weeks ahead and move everyone inside before it rains.
Company Overview
Key Team Members
- Wye Yew Ho, Co-founder & CEO
- Zi Zhang, Co-founder & CTO
Founder Force Multiplier
Proximitty combines Wye Yew Ho's direct fintech operating experience leading FinCrime and Growth at Taptap Send (scaling from $75M to $200M ARR) and McKinsey risk advisory background with Zi Zhang's deep infrastructure expertise architecting Bloomberg's security systems (300K+ terminals) and building ACI.dev's unified MCP server (4K+ GitHub stars in one month), giving them rare dual fluency in both financial services operations and production-grade AI infrastructure.
Funding History
- 2026 | Wye Yew Ho and Zi Zhang co-found Proximitty.
- Jan 2026 | $500K Seed via Y Combinator (W26 batch).
- Mar 2026 | Reportedly onboarded 5 bank/fintech customers with $1B+ in delinquent loans.
- No additional rounds disclosed. ~$500K raised to date.
Competitors
- Loan Servicing Platforms: LoanPro, Canopy Servicing, Peach Finance (API-first servicing infrastructure).
- End-to-End Lending: Turnkey Lender (ML-driven decisioning and servicing).
- Collections & Recovery: TrueAccord (AI-driven debt collection), Indigo Fair (collections automation).
- Legacy Servicers: Black Knight (ICE Mortgage Technology), Fiserv (enterprise loan servicing).
- AI-Native Entrants: Various stealth YC and fintech startups targeting agentic automation in lending.
