Deploy AI with
Confidence

CTGT turns your policies into guardrails that make AI reliable, auditable, and enterprise-ready.
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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 Critital Applications

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
$25 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
$25 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

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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.