Private LLM Deployment: Enterprise-Grade AI Without Compromising Security
Deploy secure, proprietary language models directly on your infrastructure - keeping all data and processing fully isolated from third-party risks.
Unlock AI’s Potential Zero Data Leaks, Full Compliance
Keeneo delivers turnkey private LLM solutions tailored to your technical and regulatory environment. From on-premise servers to secure VPCs, we implement open-source models that operate entirely within your controlled ecosystem, ensuring sensitive data never leaves your perimeter.
End-to-End Private AI Implementation
Custom deployment of open-source LLMs (LLaMA, Mistral, Mixtral, Phi) on your infrastructure.
Fully isolated data pipelines with no external API dependencies.
Bespoke model fine-tuning using your proprietary datasets.
Continuous MLOps integration for seamless updates.
Why Enterprises Choose Private LLMs
Ironclad Data Governance
All AI processing occurs entirely within your secured environment — ensuring full ownership of data.
Regulatory Compliance
Effortlessly meet GDPR, HIPAA, and other industry-specific standards.
Performance Optimization
Models fine-tuned for your specific business and operational needs.
Cost Predictability
No per-query charges or vendor lock-in — maintain full cost transparency.
Keeneo’s Private AI Stack
Model Hub
Curated selection of open-source LLMs with transparent legal and commercial terms.
Security Layer
Built-in RBAC, encryption, and audit trails ensure enterprise-grade protection.
MLOps Engine
Automated retraining, evaluation, and monitoring pipelines for sustainable performance.
Custom Integration
Seamless integration with LangChain, Hugging Face, or your proprietary frameworks.