The Story of Credal: Building the Future of Enterprise AI Security

Sometimes the most valuable companies are born from seeing a problem years before the market realizes it exists. In a recent Category Visionaries episode, Credal founder Ravin Thambapillai shared how his contrarian instincts and commitment to impact led to building what could become the essential security infrastructure for the AI-powered enterprise.

Ravin’s path to founding Credal was shaped by his early experiences bucking convention. Growing up in a risk-averse immigrant household after his parents fled war in Sri Lanka, he developed a reputation for challenging arbitrary rules. “I was continuously in all sorts of trouble for resisting these arbitrary rules,” Ravin recalls. “In fact, I think I was the only scholarship kid in the school who got suspended multiple times.”

This rebellious streak continued at Oxford, where his recommendation letter explicitly warned: “Do not admit this student, you’re going to regret it… they have a huge problem with authority.” But this same questioning of conventional wisdom would later prove valuable in identifying overlooked opportunities.

After stints at Google and a fintech startup, Ravin spent eight years at Palantir, where he worked on critical projects like “rehousing Syrian refugees” and “keeping America’s hospitals afloat during the pandemic.” This experience showed him how sophisticated technology could tackle society’s most pressing challenges.

The insight that led to Credal came in August 2022, during a dinner in New York with his future co-founder Jack. Both were working in high-security environments – Jack deploying combat computer vision models at the Department of Defense, while Ravin was helping prevent hospital overflows during COVID. They noticed something others hadn’t yet seen.

“We were both playing with these generative models and seeing how insanely powerful they were, but also seeing at the same time, like, how insanely difficult it would be to get these large, security sensitive institutions like trust and deploy them,” Ravin explains. They thought they were “seeing what we thought was, like, two or three years before the rest of the world,” though ChatGPT’s release a few months later accelerated the timeline.

Their initial attempt to tackle this opportunity – an AI chief of staff product – failed quickly. But when pilot customers said they’d only pay $10-20 monthly instead of their target $2,000, they didn’t waste time iterating. Instead, they recognized their security features were what customers actually valued.

This pivot proved transformative. Today, Credal is growing 20-30% monthly, processing over a million LLM queries monthly, and signing “a new household name business every two or three months.” All this with just a five-person team.

Looking ahead, Ravin sees an even bigger opportunity: “What I actually believe we are building is very different… from my perspective, what we’re really building is the safe and access controlled data environment for your AI employees. Because we believe that five years from now, every company is going to have hundreds of these AI employees running around doing work.”

This vision extends beyond just security to becoming the essential infrastructure for AI in the enterprise: “That exchange of information will need to be governed because I want the AI to help brief you, but I also don’t necessarily want it to accidentally reveal that I’m trying to get Ilia fired.”

For Ravin, who’s always been “dogmatic about working on what I felt was the most impactful problem in the world,” Credal represents the perfect intersection of massive market opportunity and genuine impact – helping enterprises safely deploy AI in industries critical to human welfare.