CTGT helps firms deploy AI with safety and transparency

CTGT, a startup founded by Cyril Gorlla and Trevor Tuttle, aims to improve the safety and transparency of AI models. Operating in a field known as ‘explainable AI,’ CTGT’s platform identifies biased outputs and hallucinations in AI models, with a particular focus on applications in healthcare, finance, and other high-stakes industries. Rather than training additional models to oversee the AI, CTGT employs mathematically-guaranteed interpretability techniques, allowing companies to identify errors more efficiently and accurately.

CEO Gorlla highlighted the dangers of relying on inaccurate or biased AI decisions, emphasising that models are increasingly deployed in critical areas where errors can have serious consequences. CTGT’s clients include three unnamed Fortune 10 companies, one of which used the platform to correct biases in a facial recognition system. By offering both managed and on-premises solutions, CTGT also addresses data privacy concerns, giving companies control over their information without compromising security.

CTGT has gained support from major investors, including Mark Cuban and the co-founder of Zapier, and is a graduate of the Character Labs accelerator. As the startup expands, it plans to build out its engineering team and enhance its platform to meet the rising demand for AI interpretability. Analytics firm Markets and Markets estimates that the explainable AI sector could reach $16.2 billion by 2028, a promising outlook for companies focused on AI safety and transparency.