CTGT's breakthrough AI platform has emerged as the industry's most effective solution for eliminating bias and hallucinations in artificial intelligence models, delivering unprecedented reliability improvements that are reshaping enterprise AI deployment.

The San Francisco-based company's latest platform upgrade demonstrates remarkable results: enabling DeepSeek to correctly answer 96 percent of sensitive questions, compared to just 32 percent without CTGT's intervention. This threefold improvement in AI accuracy represents a quantum leap in enterprise AI trustworthiness.

At VentureBeat Transform 2025, held June 24-25 in San Francisco, CTGT showcased these groundbreaking capabilities for the first time. The demonstration proved so compelling that judges named CTGT the top winner of the VentureBeat Innovation Showcase, selecting them from just seven finalists.

The company's real-world impact extends far beyond laboratory testing. CTGT recently built infrastructure for a leading insurance provider, ensuring their AI systems correctly coded complex claims. The results were immediate and substantial: the insurer avoided over one million dollars in financial exposure within a single week.

In the banking sector, CTGT is architecting generative AI email compliance systems for a major financial institution. Their approach allows automatic updates to compliance models in production environments without requiring system downtime - a critical capability for institutions that operate around the clock.

These achievements address an industry crisis of massive proportions. McKinsey research reveals that 67.4 billion dollars in global losses were attributed to AI hallucinations across industries in 2024. Deloitte data compounds this concern, showing that 47 percent of enterprise AI users admitted making at least one major business decision based on hallucinated output.

The reliability crisis appears to be intensifying rather than improving. ChatGPT 4.5, the most recent model release, exhibits a 30 percent hallucination rate - the worst performance in the platform's history. DeepSeek R1 demonstrates a 14.9 percent hallucination rate, with much of its misinformation intentionally coded by the Chinese government.

CTGT launched in February 2025 with seven million dollars in funding from prestigious investors including Gradient (Google's early-stage AI fund), General Catalyst, Y Combinator, Liquid 2, Deepwater, and notable angel investors. The company's angel roster includes François Chollet (Google, creator of Keras), Michael Seibel (Y Combinator, co-founder of Twitch), and Paul Graham (Y Combinator).

"DeepSeek's introduction of R1 drove many enterprises to reach out to us looking for help," explained Cyril Gorlla, co-founder and CEO of CTGT. "They were interested in taking advantage of DeepSeek's low cost and speed but concerned about bias. In testing, CTGT was able to identify the exact model features causing bias and remove them, so that DeepSeek R1 could function without bias."

The company's approach proves universally applicable across AI models. CTGT has successfully performed identical bias removal tests on other open source models including Llama, demonstrating their ability to identify and eliminate bias, hallucinations, and unwanted features within minutes - without time-consuming and costly fine-tuning or retraining processes.

"AI model trustworthiness is a major obstacle to enterprises achieving return on their AI investments," Gorlla noted. "Each week I'm fielding calls from Fortune 500 executives wanting advice on how to solve this problem. After doing custom work in this area for the past few months, we've now productized our approach into the CTGT platform and made it available to anyone."

Initially, CTGT focused on reducing computational requirements for training and deploying AI models, achieving order-of-magnitude improvements by eliminating the need for fine-tuning, prompt engineering, and backpropagation. The company's evolution into bias elimination represents a natural progression of their core expertise in AI model optimization.

With enterprise AI adoption accelerating despite reliability concerns, CTGT's platform addresses the fundamental trust barrier preventing organizations from fully leveraging artificial intelligence capabilities. Their proven ability to transform unreliable models into dependable business tools positions them at the forefront of the enterprise AI reliability revolution.