331
Audio & Video Production319
Software Development244
Automation & Workflow209
AI Infrastructure & MLOps151
Marketing & Growth190
Writing & Content Creation200
Data & Analytics120
Design & Creative147
Customer Support122
Photography & Imaging141
Voice & Speech132
Sales & Outreach112
Operations & Admin86
Education & Learning121
Gitar has emerged from stealth with $9 million to sell AI agents that check software code for quality and security issues before it ships.
In short: Gitar, a startup that uses AI “agents” to check software code for problems, has raised $9 million and is now operating publicly.
Gitar announced a $9 million funding round led by Venrock, with participation from Sierra Ventures. The company is based in San Mateo, California, and is two years old.
Gitar sells subscriptions to a platform that runs AI agents, which are software helpers that can carry out tasks on their own (like an assistant that follows a checklist). These agents do code reviews, look for security risks, and help manage “continuous integration,” which is the routine process of merging code changes and testing them so a product stays stable.
The company says it is responding to “code overload,” a situation where teams are flooded with new code, often written by AI tools. More code can mean more chances for mistakes, like bugs (errors) or weak security, and it can take experienced engineers a lot of time to sort out.
Gitar’s founder and CEO, Ali Reza Adl Tabatabai, previously worked at Intel Labs, Google, and Uber. He told TechCrunch the goal is “validation,” meaning checking that code is safe and ready before it goes into a real product.
Gitar said the new money will go toward hiring and building its product so it can support more customers.
More companies now rely on AI to help write software, but someone still has to make sure that code is reliable and does not create security holes. Tools like Gitar aim to reduce that review workload by acting like an automated second set of eyes, and only involving humans when something looks unusual.
Source: TechCrunch AI