We raised. We’re building harder.

We raised. We’re building harder.

Excited to share that Panto has raised a pre-seed from Antler Singapore.

Fundraising often invites celebration and congratulations, as it is a grueling journey. But for us, it marks the beginning of a new chapter — we can no longer hide behind the excuse of being bootstrapped. The responsibility is now ours to build boldly and responsibly, and to ship things that truly matter.

In the last year, we’ve seen the rise of vibe coding, where code moves faster into production than ever before. Back when vibe coding wasn’t the norm, developers had to really write code. They typed every function, handled every edge case, and iterated deliberately. That process, while slower, made the code naturally more robust.

Today, most code is generated in seconds. But validating if it’s the right code? That still eats up dev time.

That’s exactly the problem Panto is solving.

Our one-stop Code Review Agent acts as a Wall of Defence for your production. It automatically flags logical bugs, security flaws, and business-context mismatches by analysing every PR through both dynamic and statistical lenses.

Panto AI Team

We’ve helped teams cut down time-to-merge by an average of 50%, and we’ve caught critical vulnerabilities in 35%+ of cases, ones that were missed even by humans.

And this is just the beginning. Code review is only one part of the SDLC. We believe that the quality of what’s being shipped should be just a tab away.

Our upcoming QA Agent is designed with that belief in mind. Make UI and UX interfaces the best of what users expect, effortlessly and reliably.

We’re deeply grateful to all our early customers across India, Southeast Asia, and the EU for their trust and brutal feedback.

And we’re proud to be part of Antler’s SG18 cohort. Special thanks to Rufus, Winnie and Markus for believing in what we’re building.

Back to work. We’re just getting started.

Your AI code Review Agent

Wall of Defense | Aligning business context with code | Never let bad code reach production

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