Enterprise Privacy
Self-Hosted LLMs
Deploy open-source models like Llama 3 and Mistral on private infrastructure for clients with strict data privacy, compliance, or regulatory requirements. Ideal for enterprises running SAP, Oracle, or Dynamics 365 who can't send data to external APIs — no data leaves their environment, ever.
Capabilities
What You Get
Llama 3 & Mistral Deployment
Production-ready deployment of state-of-the-art open models on your client's cloud (AWS, GCP, Azure) or on-premise servers with optimized inference and load balancing.
Model Fine-Tuning
Fine-tune base models on your client's proprietary data for domain-specific performance — legal contracts in SAP, medical records, financial data from Oracle, or any specialized vertical.
HIPAA & SOC 2 Compliant Setup
Infrastructure designed for regulated industries: encrypted at rest and in transit, audit logging, role-based access, VPC isolation, and full compliance documentation for auditors.
Cost-Optimized Inference
Quantization, batching, and caching strategies that cut GPU costs by 40-70% while maintaining quality — making self-hosted AI economically viable even for mid-market enterprises.
Common Use Cases
- Healthcare company processing patient records with AI under HIPAA
- Legal firm analyzing confidential contracts without cloud exposure
- Financial institution building proprietary trading models on-premise
- Government agency requiring air-gapped AI systems
- Enterprise replacing expensive OpenAI API costs with owned infrastructure
- SAP customer deploying AI copilot that processes sensitive ERP data locally
Tech Stack
Deliverables
- Deployed & optimized LLM instance
- Fine-tuned model (if applicable)
- API gateway for application access
- Infrastructure-as-code (Terraform/Helm)
- Compliance documentation & audit logs
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