Proximitty
Autonomous loan servicing and collections
About
Proximitty is the first truly AI-native loan management system. We build unified lending data layers and personalised risk scoring models to power AI agents that dynamically learn, adapt and increase collection rates for banks, credit unions and fintechs, while automating complex servicing workflows with no-code browser agents. Trusted by publicly traded fintechs and banks globally.
Founders
Founder
Co-founder & CEO @ Proximitty (YC W26). Previously, led FinCrime and Growth at Taptap Send ($75m -> $200m ARR) and started his career advising banks and fintechs on risk strategy at McKinsey. Highest ranked Malaysian in history in the Southeast Asian Maths Competition (SEAMC).
AI Research Report
Problem & Solution
Problem/Solution Report
Proximitty addresses a critical problem in the financial services industry: the inherent inefficiency and limitations of traditional debt collection and loan servicing processes. The core issue is that human collections teams cannot reach every delinquent account, leading to missed recovery opportunities and operational bottlenecks. Furthermore, existing AI tools often fail because they are merely 'bolted onto' broken, fragmented workflows rather than being integrated into the core system.
Proximitty's solution is the world's first autonomous collections and servicing team powered by an AI-native stack. Unlike competitors that offer superficial integrations, Proximitty has rebuilt the entire loan management stack to provide a unified data layer. This layer acts as a single source of truth across various systems like the LMS, dialer, and internal tools, providing the borrower context necessary for personalized risk models that actually improve collection rates.
The platform enables financial institutions to deploy browser and voice AI agents that handle 90% of manual workflows without requiring engineering resources. By turning Standard Operating Procedures (SOPs) and screen recordings into custom agents, Proximitty allows for rapid automation. These agents can research contacts, personalize interactions, and negotiate repayment plans across voice, SMS, and email channels.
Crucially, the solution emphasizes 'compliance-first automation.' Every interaction is logged and monitored in real-time against regulations such as the FDCPA and CFPB. A dedicated Compliance agent proactively flags deviations, reducing the risk of lawsuits or regulatory complaints. This integrated approach aims to deliver measurable results to a bank's P&L by automating the end-to-end execution of servicing tasks.
Market & Competitors
Market and Competitors Report
Proximitty operates in the rapidly evolving fintech market, specifically targeting debt collection and loan servicing. The market is characterized by a shift toward AI-driven recovery tools and digital communication channels. Financial institutions are increasingly seeking compliant, scalable solutions to manage delinquent accounts while maintaining a focus on customer-centric recovery approaches. This trend is driven by both the need for efficiency and the pressure of stringent regulatory frameworks.
The target audience includes banks, lenders, and financial institutions that manage large loan portfolios. These entities face challenges with manual, inefficient processes and the high cost of regulatory non-compliance. Proximitty's value proposition is particularly attractive to those looking to reduce operational costs and improve recovery rates through advanced automation that does not require extensive integration projects.
The competitive landscape includes traditional debt collection agencies and emerging AI-driven platforms. Direct competitors in the AI space include companies like CreditNirvana, which recently launched its 'Maestro' AI agent platform, and InDebted, which has partnered with other firms to launch AI-powered debt resolution services. These companies also utilize generative AI and automation to reduce human intervention in the collection process.
Proximitty's competitive advantage lies in its 'rebuilt the entire stack' philosophy. While many competitors offer AI agents that are added to existing systems, Proximitty provides an AI-native loan management system with a unified data layer. This allows for deeper personalization and more robust compliance monitoring. By offering a solution that works across existing platforms without APIs or engineering resources, Proximitty differentiates itself from more fragmented or integration-heavy competitors.
Total Addressable Market
Quantitative TAM Report
The Total Addressable Market (TAM) for Proximitty, operating in the AI-driven debt collection and loan servicing automation space, is substantial and experiencing significant growth. The global AI for debt collection market size was estimated at USD 2.80 billion in 2025 and is projected to grow to approximately USD 11.38 billion by 2035. This represents a Compound Annual Growth Rate (CAGR) of 15.05% from 2026 to 2035, driven by the need for financial institutions to streamline operations and improve recovery rates.
The U.S. market specifically presents a significant opportunity, calculated at USD 657.30 million in 2025 and expected to reach nearly USD 2,732.22 million by 2035. This growth is characterized by a CAGR of 15.31% between 2026 and 2035. These figures indicate that Proximitty is entering a market with strong tailwinds and a clear demand for automation in its primary operational region.
Beyond the specific debt collection niche, broader market segments contribute to Proximitty's potential. The global AI for Customer Service Market is anticipated to grow from USD 12.06 billion in 2024 to USD 47.82 billion by 2030, at a CAGR of 25.8%. Additionally, the overall debt collection agencies market was valued at $30.19 billion in 2025 and is projected to reach $31.2 billion in 2026. The increasing adoption of AI-driven tools within these larger markets highlights the expansive nature of the opportunity for Proximitty's AI-powered solutions.
Founder Analysis
Founders Background Report
Proximitty was co-founded by Wye Yew Ho, who serves as the CEO, and Zi Zhang, the CTO. Both founders are associated with Y Combinator (YC W26), indicating their participation in a prestigious startup accelerator program. This affiliation suggests a high level of potential and validation for their venture within the tech ecosystem.
Wye Yew Ho's professional background identifies him as the Co-founder and CEO of Proximitty. His educational credentials include studies at The London School of Economics and Political Science (LSE), a world-renowned institution for finance and economics. The company's website highlights that its team comprises veterans who have advised banks on credit risk at McKinsey and led Growth and FinCrime at various fintechs. This suggests Wye Yew Ho possesses a strong foundation in finance and risk management, directly aligning with Proximitty's mission in the loan servicing sector.
Zi Zhang serves as the Co-founder and CTO of Proximitty. His technical expertise is underscored by the team's collective experience in building security infrastructure at Bloomberg. This background is critical for developing the AI agents and unified data layers that Proximitty offers. His role focuses on the technical architecture required to handle complex financial data and autonomous workflows.
The combined experience of the founders in finance, fintech leadership, and robust technical infrastructure positions them as experts in their domain. By leveraging their backgrounds at top-tier firms like McKinsey and Bloomberg, they have designed a system intended to solve the foundational issues that cause other AI agents in financial services to fail.
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