We built Super-Reliable Intelligence

Scaled Cognition is a vertical neolab advancing reliable, verifiable AI built to operate at enterprise scale.

OUR VISION

The AI industry is racing toward superintelligence. We built something more important: Super-Reliable Intelligence. The smartest model in the world is useless if it can't get the same answer right every single time. Even the best human agents can't do that at scale. Our models can — and we're just getting started.

From research to realized

The insight that started it all

The entire AI industry was building on Jell-O. Models designed for poems and code kept failing where it mattered most — inside enterprise workflows with real policies, real transactions, and real consequences. Our founders saw what others kept ignoring: you can't prompt reliability into a model that wasn't built for it. So they built one that was.

"The rest of the industry rents general-purpose intelligence and tries to make it behave. We built Super-Reliable Intelligence ourselves. That's not a feature. It's a fundamentally different company, and it's why the best AI researchers in the world want to work here."

Dan Roth

Co-Founder & CEO

"In research, getting it right once is breakthrough. In enterprise, you need Pass¹⁰⁰reliability: the same correct answer across 100 identical scenarios. That requires different architecture, different training, different evaluation. We're building that system."

Dan Klein

Co-Founder & CTO

What comes next

The future of enterprise AI

Enterprise AI is shifting. Intelligence is moving from a managed service you rent to infrastructure you own — something you build operations around, not bolt on. Whether you deploy in our cloud, your VPC, or fully on-prem, the result is the same: AI you control, on your terms. This is the next chapter of enterprise AI.

Reliability under repetition

Enterprise AI is judged by consistency across thousands of interactions, not one-time success.

From pilot to production

Pilots must survive production: policy adherence, audit trails, and operational complexity that enterprises can't compromise on.

Predictability over probability

Enterprise workflows demand deterministic execution, not statistical likelihood. When the answer must be the same every time, deterministic systems are the only option.

Control architecture, not prompts

Production reliability requires owning the model design, training approach, and inference layer from the ground up.

Reverse the outsourcing equation

When intelligence becomes software with near-zero marginal cost, enterprises bring high-value cognitive work back inside rather than paying for managed services.

Keep data secure

Regulatory requirements, data sovereignty, and risk management demand on-premises or VPC deployment. Third-party APIs can't meet enterprise security and compliance standards.

MEET THE TEAM

The team behind Super-Reliable Intelligence

Our team spent decades advancing AI at the world's top labs and universities. Now they're building the most reliable AI systems ever deployed in the enterprise.