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Turn company policies into guardrails 
that make AI reliable, auditable, and enterprise-ready

Achieve up to a 80% cost reduction when deploying OSS models with the policy engine at frontier-level performance. 1
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Comparison of two email drafts: one from a standard LLM with red alerts for violating company policy and brand tone, the other from CTGT governed active remediation with green highlights for brand tone correction, regulatory guardrails, and business policy alignment.
Mission

CTGT's technology is built upon a deeper understanding of how Al models internally represent and process information.

Policy as code
CTGT converts your SOPs and regulations into live, machine-readable rules the AI follows automatically. Updates flow in instantly, delivering consistent, audit-ready outputs far beyond default cloud guardrails.
Defensible audit trails
Built for high-risk industries, CTGT validates every output against your policies with transparent, deterministic logic. Every decision is logged with a defensible audit trail mapped to your org’s exact structure.
End model micromanagement
Stop burning time on fine-tuning, RAG, and prompt hacks. CTGT governs model behavior out-of-the-box, giving you consistent, high-quality outputs without the 20–40% engineering overhead.
Human in the loop, to automated remediation
Choose exactly how much control you want. From human review on every flagged output to fully automated, logic-level remediation, CTGT adapts to your workflow—ensuring errors are fixed, not just found.
INDUSTRIES

Governance for Mission Critical Applications

Finance
Insurance
Media
CPG
Total SEC, FINRA, and organization-wide compliance.
Instantly applied. No manual setup required.
Explore Insurance
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.
Explore Insurance
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.
Explore Insurance
87%
Reduction in manual editorial review
100%
Ad & Legal disclosure adherence
One system for smarter workflows and on-brand social presence.
Explore Insurance
Engage with customers with on-brand responses, tuned to any platform
Simplify complex excel-based workflows
Maintain brand consistency across sub-brands
Total SEC, FINRA, and organization-wide compliance.
Instantly applied. No manual setup required.
Explore Insurance
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.
Explore Insurance
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.
Explore Insurance
87%
Reduction in manual editorial review
100%
Ad & Legal disclosure adherence
One system for smarter workflows and on-brand aocial presence
Explore Insurance
Engage with customers with on-brand responses, tuned to any platform
Simplify complex Excel-based workflows
Maintain brand consistency across sub-brands
Bar chart comparing Millennials, Gen X, and Baby Boomers preferring to shop online, with Millennials at 93%, Gen X at 82%, and Baby Boomers at 78%.
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%.
IMPACT

Frontier-Level
Accuracy and Reliability

READ MORE
Bar chart showing revenue sources: 7.4% from donations, 36.9% from grants, and 55.6% from retail sales.
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.
Bar chart comparing clean water access: World at 90.1% and Malawi at 96%.
Open Source > Frontier Models
Achieve Frontier Performance with Open Source Costs. A self-hosted OSS model running CTGT outperforms the world's leading frontier model.
CUSTOMER CASE STUDY

How a Lloyd's-backed, Inc. 5000 InsurTech Scaled AI Powered Underwriting with CTGT

Deployment Confidence
Enabled the safe transition of LLM solutions from internal use to high-stakes, external production environments.
Root-Cause Remediation
Shifted from basic hallucination detection to debugging the entire AI stack, identifying critical errors in prompt templates and data pipelines.
Real-Time Governance
Implemented a centralised policy engine ensuring AI alignment and auditability without sacrificing speed or model flexibility.

Experience the next
evolution of Al Governance

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Join leading financial institutions and Fortune 500 companies in deploying production-ready AI
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Industries
Finance
Defence
Insurance
Healthcare
1.
Based on typical enterprise usage of 1B tok/month. Includes industry standard cost for vector DBs, embedding pipelines, rerankers, and engineering teams.  Claude 4.5 Opus: $15,000/mo with $15.00 blended cost. GPT-120B-OSS + CTGT: $380/mo with $0.38 blended cost. Performance Delta on HaluEval: +1.4% Accuracy Improvement with CTGT (96.5% vs 95.1%).