CodeAnt AI

CodeAnt AI builds an AI-driven code review layer that sits inside the pull-request workflow on GitHub, GitLab, and similar platforms, scanning changed code for security vulnerabilities, bugs, and quality issues before merge. The platform supports more than 30 programming languages and offers an on-premise deployment option for organizations that need to keep source code within their own infrastructure. Founded in 2023 by Amartya Jha (CEO) and Chinmay Bharti (CTO) and incubated through Y Combinator’s Winter 2024 batch, the company is based in San Francisco.

The product’s differentiator is using large language models to triage and explain findings in context rather than relying solely on traditional static-analysis rule sets, aiming to cut the false-positive fatigue that burdens many legacy SAST tools. CodeAnt AI has reported more than 50 customers, including named accounts Akasa Air and Cyient, though customer counts come from company disclosures rather than independent verification.

The company raised a $2 million seed round in May 2025 at a reported $20 million valuation, led by Y Combinator, Uncorrelated Ventures, and VitalStage Ventures — its first institutional funding. This is a very early-stage company: funding, headcount, and track record are all modest relative to established AppSec vendors, and no independent efficacy benchmarks were found.