The New York startup, founded by former Davis Polk lawyer Preeti Krishnan, is building AI agents that translate regulation into tasks, evidence and reviews for growing financial businesses.
Leela has emerged from stealth with a $4.6 million seed round as it looks to automate one of the most labour-intensive parts of financial services: compliance. The New York startup, founded by former Davis Polk lawyer Preeti Krishnan, is targeting fintechs and other regulated businesses that must reconcile requirements buried in laws, bank contracts and internal policies, often with little software to connect them. According to AlleyWatch, the round was co-led by Array Ventures and Female Founders Fund, with participation from Northwestern Mutual Future Ventures, The Council Capital and Apprentis Ventures.
The company’s pitch is that compliance software should do more than organise work; it should carry it out. Leela says its platform translates policies into obligations, tasks and evidence requests, then uses AI agents to complete steps such as fraud checks, anti-money laundering reviews, customer complaint handling and drafting suspicious activity reports for human review. PYMNTS reported that Krishnan sees the technology as a way to give smaller firms something close to a 10-person compliance team without forcing them to build one from scratch.
At the centre of the system is RegLang, Leela’s proprietary regulatory language, which it says links rules to the operational work they require. That matters because compliance teams in growing financial businesses often spend their time manually interpreting new rules, coordinating across departments and documenting what happened for auditors and regulators. Leela says one early customer saw its 40 policies translated into 262 actionable obligations, illustrating how the company is trying to turn broad requirements into concrete workflows.
The startup is initially focusing on fintechs, payments businesses, lenders, insurers and other financial firms facing increasingly complicated oversight. Its self-service model is designed to let customers start with a single self-executing policy and add more as their needs expand, which Leela argues makes advanced compliance capabilities available without a large in-house team. The company also says it has launched a browser-extension-based product and is emphasising controls, audit trails and human oversight so that its agents operate within defined guardrails rather than as unsupervised automation.
Krishnan told AlleyWatch that the investment thesis depended not only on the size of the problem but also on a shift in enterprise software: from tools that surface information to systems that actually perform work. She said the challenge was convincing investors that regulated industries could support that change without sacrificing accountability. Leela plans to use the funding to deepen integrations, widen the set of workflows its agents can handle and hire for engineering and compliance roles as it pushes to become the default compliance layer for fast-growing regulated businesses.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
