Privatised LLMs
Private, secure and compliant AI built inside your environment
Why Private AI Matters
1 billion parameter models trained on your data dramatically reduce hallucinations and deliver faster, more accurate results than broad-purpose public LLMs
Public LLM Risk
Private LLM Advantage
Key Differentiator
Our 1-billion parameter models trained exclusively on your data vastly outperform ChatGPT's broader models for your specific use cases—with significantly reduced risk of hallucination, bias, and data leakage.
Public vs Privatised LLM
Why regulated enterprises choose private infrastructure
Key Benefits
Strategic advantages of owning your AI infrastructure
Data Privacy
Zero data leakage risk. Your intellectual property never leaves your controlled environment.
Compliance
Adhere to strict industry standards like HIPAA, GDPR, and ISO without compromise.
Accuracy
Higher performance on specialized tasks due to industry-specific fine-tuning.
Full Control
Flexibility across architecture and deployment, optimizing for model lifecycle.
How We Develop Privatised LLMs
Our proven process for delivering secure AI solutions in 4-12 weeks
Foundation AI Model
We select the optimal open-source foundation model suited to your architectural needs.
Fine-Tuning
The model is trained on your specific industry datasets to ensure relevance and accuracy.
Secure Deployment
We deploy the solution within your cloud environment, ensuring total data isolation.
AI Agents
Integration of agents for automation, compliance checks, fraud detection, and processing.
Fast Time to Value
4-12 Week Deployment
From initial consultation to production deployment—dramatically faster than traditional enterprise AI implementations.
Custom-Built for You
Every model is trained on your specific data, workflows, and compliance requirements—not a generic solution.
