The deterministic layer for frontier intelligence
Generative AI is probabilistic. Your business is not. We are the frontier lab opening the black box. CTGT replaces fragile guardrails with representation-level control that delivers the mathematical certainty and defensible audit trails required by the Fortune 500.
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Jan 16, 2026
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In A World Obscured By Cloudy Models, Explainable AI Shines Bright
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This 23-year-old AI startup founder raised $7 million from investors like Google's Gradient and General Catalyst
Mission
CTGT's technology is built upon a deeper understanding of how AI models internally represent and process information.
Industry Perspectives
Validated by the Architects of Modern AI
From the creator of Keras to the leadership of the Fortune 500, the industry’s most demanding technical voices are aligning to CTGT's vision.
CTGT at JP Morgan's IMF summit: Why Wall Street is moving AI to the P&L
We joined JP Morgan executives, including CEO Jamie Dimon, U.S. Secretary of the Treasury Scott Bessent, and leading policy experts at the IMF/World Bank meetings to address Wall Street's fundamental shift: AI is no longer an innovation experiment, it's a line item on the P&L, right beside interest expense.
CTGT is productizing mechanistic interpretability. They make it possible to edit the behavior of LLMs to add safety policy guarantees without retraining, in a way that is much more reliable than simple prompting.
“Governance cannot remain a separate process; it has to become part of the solution itself. CTGT illustrates this direction, leveraging the reasoning of LLMs while constraining behavior through policy-driven execution. This allows teams to move faster while satisfying regulators.”
“The #1 problem preventing businesses from adopting AI is low user trust. CTGT is developing a novel approach that solves the unreliability and inherent limitations of modern AI to ensure it is trustworthy for business needs.”
“An absolute game changer for making LLMs more deterministic.”
“Interesting technique for dynamically modulating censorship and bias in models.”
We had a great time learning about CTGT. A very talented group to learn from [regarding the future of AI governance]."
CTGT is productizing mechanistic interpretability. They make it possible to edit the behavior of LLMs to add safety policy guarantees without retraining, in a way that is much more reliable than simple prompting.
“Governance cannot remain a separate process; it has to become part of the solution itself. CTGT illustrates this direction, leveraging the reasoning of LLMs while constraining behavior through policy-driven execution. This allows teams to move faster while satisfying regulators.”
“The #1 problem preventing businesses from adopting AI is low user trust. CTGT is developing a novel approach that solves the unreliability and inherent limitations of modern AI to ensure it is trustworthy for business needs.”
“An absolute game changer for making LLMs more deterministic.”
“Interesting technique for dynamically modulating censorship and bias in models.”
We had a great time learning about CTGT. A very talented group to learn from [regarding the future of AI governance]."
Mar 15, 2025
A feature-level approach to mitigating bias & censorship in deepseek-R1
Oct 08, 2025
Foundry announces the 2025 InfoWorld Technology of the Year Award finalists
Jun 28, 2025
Vibe coding lets novice software engineers generate code that looks usable without first mastering the fundamentals. But it often produces what... Cyril Gorlla, co-founder of enterprise AI company CTGT, calls “AI slop”: cheap, auto-generated, buggy code that demos well but collapses at scale.
The RAG failure in legal reasoning
Standard RAG pipelines broke the model’s legal reasoning capabilities, dropping accuracy to 39%. CTGT’s Policy Engine acted as a logic compiler, doubling performance to 78%.
Entity resolution
RAG introduces noise; CTGT adds signal. In identity resolution, RAG confused the model, causing a massive drop in accuracy. CTGT maintained 96% integrity.
Open source > Frontier models
Achieve up to 80% lower inference costs by pairing open-source models with CTGT’s Policy Engine. Governed OSS models deliver frontier-level reliability in policy-constrained workflows. 1
INDUSTRIES
Governance for mission critical applications
Total SEC, FINRA, and organization-wide compliance.
Instantly applied. No manual setup required.
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30%
Boost in policy adherence
20-40%
Reduced total cost of ownership
97%
Policy updates in minutes, not months
Instantly adapt to a constantly changing policy environment.
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68%
Improvement over CSP guardrails
$XX M
Saved for Inc. 5000 Insurtech
>20hrs
Saved from eliminated manual review
Ensure editorial tone is maintained in all generated content, at scale.
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87%
Reduction in manual editorial review
100%
Ad & Legal disclosure adherence
One system for smarter workflows and on-brand social presence.
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Engage with customers with on-brand responses, tuned to any platform
Simplify complex Excel-based workflows
Maintain brand consistency across sub-brands