building cognitive ai technologies

With more than a decade of research and building safety critical applications for blue chips companies our founders built technologies that were not only mission critical but also highly reliable. They also found major short comings in AI applications. AI made decisions that were difficult to understand, often took shortcuts instead of learning true features, and failed without notice. In high-stakes environments, this led to untrustworthy, unpredictable, and sometimes dangerous outcomes.

AI was fundamentally opaque, unreliable, and difficult to trust. It struggled with complexity, ambiguity, and entropy, often learning shortcuts instead of true features, which leads to misleading confidence, unpredictable failures, and a lack of real-world adaptability.

They set out to create something truly transformative - a system capable not just of observing AI, but actively making it think, reason, and self-correct. They had a bold vision: to make AI think.

The result was the world’s first cognitive AI system. Unlike traditional AI monitoring tools, Squint AI didn't just track errors - it equipped AI with contextual understanding, and real-time adaptability, fundamentally transforming its ability to reason and self-correct.

Today, Squint AI’s technology is actively redefining trust in artificial intelligence. From ensuring autonomous vehicles understand risks before they occur, to enabling accurate and explainable medical diagnostics, and even empowering revolutionary aerospace innovations, Squint AI is laying the foundation for the next era of trusted, intelligent machines.