AI User Protection
Our private AI Agents protect returns for those who fund and run IP-based businesses: Investors, CEOs, CTOs, CROs and CISOs
The need for this has arisen because of legal judgments in favour of Large Language Model Providers
The need for this has arisen because of legal judgments in favour of Large Language Model Providers
SLAM (Small Language Agentic Modeling)
Our Approach to IP and Investment Protection
What It Is: Purpose-built small language models (7B-13B parameters) fine-tuned for specific agentic tasks in regulated domains, running efficiently while maintaining full auditability.
Strategic Value:
Cost Arbitrage at Scale
10-20x cheaper to run than Foundation Models
5-10x faster inference times with no IP loss
The cost of evidencing compliance via #ProofChain user logs reduces by 51%
Gross margins of 75%+ vs. 40-50% for GPT-wrapper companies
Buyer impact: Immediate margin expansion post-acquisition and no IP Loss
Data Sovereignty & Privacy
Self-hosted deployment for regulated clients (healthcare, finance, government)
No data leaves customer infrastructure
GDPR/HIPAA compliance by design
Buyer impact: Unlocks deals that cloud-only solutions can't win
Predictable Behaviour in High-Stakes Scenarios
Smaller models = more controllable outputs
Domain-specific training = fewer hallucinations
Supports deterministic performance in regulated use cases
Buyer impact: Reduces liability exposure that keeps C-suites awake
Competitive Moat
Proprietary training pipelines with no IP loss encoded in models (financial compliance, medical claims, legal discovery)
Not replicable by buying off-the-shelf LLMs
Buyer impact: Defensible technology, not just integration services
Strategic Value:
Cost Arbitrage at Scale
10-20x cheaper to run than Foundation Models
5-10x faster inference times with no IP loss
The cost of evidencing compliance via #ProofChain user logs reduces by 51%
Gross margins of 75%+ vs. 40-50% for GPT-wrapper companies
Buyer impact: Immediate margin expansion post-acquisition and no IP Loss
Data Sovereignty & Privacy
Self-hosted deployment for regulated clients (healthcare, finance, government)
No data leaves customer infrastructure
GDPR/HIPAA compliance by design
Buyer impact: Unlocks deals that cloud-only solutions can't win
Predictable Behaviour in High-Stakes Scenarios
Smaller models = more controllable outputs
Domain-specific training = fewer hallucinations
Supports deterministic performance in regulated use cases
Buyer impact: Reduces liability exposure that keeps C-suites awake
Competitive Moat
Proprietary training pipelines with no IP loss encoded in models (financial compliance, medical claims, legal discovery)
Not replicable by buying off-the-shelf LLMs
Buyer impact: Defensible technology, not just integration services
SOC 2, HIPPA and Cyber Essentials
If you require SOC 2, HIPPA or Cyber Essential accreditation for your agents this can be provided for Private AI Agents, hosted on Private Instances. This is a requirement for the provision of public facing agents in healthcare and many public facing services in the USA and UK.
To learn about AI Agent use cases have a chat with Clare the customer support agent below.
To learn about AI Agent use cases have a chat with Clare the customer support agent below.