Kobalt has built an AI copilot to automate manual risk and compliance operations for fintechs and banks. Given a vendor contract, Kobalt’s reasoning engine ingests internal policies and procedures, legal commitments, past privacy and compliance assessments, and syncs with external legislation to instantly auto-surface and track risks. We're helping community/regional/sponsor banks increase revenue and scale their partnership and vendor volume, and we're helping fintechs conduct their partner diligence in 1/0 the time, all without needing to increase headcount.
Kalyani is the CEO of Kobalt Labs. She previously conducted AI research at Stanford, built financial security products at Apple, and built health data analysis tools used by governments of 13 countries at Zenysis. She graduated from Stanford with her MS in Computer Science (concentration in AI), and her BS in Computer Science (AI) with a minor in Human Rights.
Ashi is the CTO of Kobalt Labs. She previously worked on infra tooling as a senior software engineer at Affirm, the launch of Meaningful Matches at Nuna as a KPCB Fellow, and reliability of internal latency tracing at Meta. She graduated from Stanford with her BS in Computer Science (Theory) with a minor in Dance.
Hi! We’re Ashi Agrawal and Kalyani Ramadurgam, the founders of Kobalt Labs.
Our model-agnostic API:
Do you work with lots of sensitive data or know someone who does? Ping us at hi@kobaltlabs.com :)