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On-Premise & Local AI
Private AI Infrastructure for Regulated Industries
Not every organisation can send sensitive data to cloud AI APIs. Healthcare providers, legal firms, defence contractors, financial institutions, and enterprises in regulated industries need AI that runs entirely within their own infrastructure — with zero data egress, full compliance, and predictable costs.
ESS ENN Associates designs and deploys on-premise AI systems using Ollama, vLLM, llama.cpp, LocalAI, and LM Studio. We handle hardware selection, model quantisation, inference optimisation, API gateway setup, and integration with your existing systems — delivering the power of state-of-the-art LLMs on your own servers, air-gapped networks, or edge devices.
Also delivered through our specialist brand.
On-Premise AI DeploymentServices We Deliver
Local LLM Deployment with Ollama & vLLM
Set up production-grade local inference servers using Ollama for ease of management and vLLM for high-throughput OpenAI-compatible APIs. Deploy Llama 3, Mistral, Gemma, Qwen, Phi-3, and DeepSeek models on your servers with automatic model management and GPU optimisation.
Hardware Optimisation & Model Quantisation
Run large models on available hardware through intelligent quantisation (GGUF, GPTQ, AWQ, EXL2). A 70B parameter model can run efficiently on dual-GPU servers. We optimise KV-cache, batch sizes, context lengths, and speculative decoding to maximise throughput-per-dollar on your hardware.
Private AI API Gateway & Access Control
Deploy an OpenAI-compatible API gateway (LiteLLM, LocalAI) on your infrastructure — so your existing applications connect to local models without code changes. Role-based access, usage monitoring, rate limiting, and audit logging for enterprise compliance.
Air-Gapped & Secure Enclave Deployment
For defence, intelligence, and maximum-security environments, we architect fully air-gapped AI deployments — models, weights, inference engines, and application stacks packaged for completely offline operation.
Edge AI & Embedded Deployment
Deploy compact, quantised models on edge hardware — NVIDIA Jetson, industrial PCs, Raspberry Pi clusters, and ruggedised devices — for real-time AI inference without cloud connectivity.
Hybrid Cloud-Local AI Architecture
Route AI requests intelligently — sensitive data to local models, non-sensitive workloads to cloud APIs for cost optimisation. Design tiered AI architectures with intelligent routing, caching, and fallback strategies.
The Business Case for Private AI Infrastructure
Complete Data Sovereignty — No Cloud Vendor Risk
HIPAA, GDPR, SOC 2 Compliance Without API Data-Sharing
Zero Per-Token API Costs at High Usage Volumes
Sub-100ms Inference Latency on Local Network
Fine-Tuned Models That Never Leave Your Infrastructure
No Service Interruption from Cloud Provider Outages
Full Control Over Model Versions and Updates
Proprietary AI Capabilities Competitors Cannot Access
How to engage us for On-Premise & Local AI.
Pick the model that matches how involved you want to be. You can change models as the work evolves.
Product Development Outsourcing
The whole product, from idea to scale, owned end to end.
Turnkey Projects
Concept to delivery under an agreed scope and budget.
SaaS Development
Multi-tenant cloud applications built to grow with you.
Retainership
A dedicated team for continuous delivery and support.
Employer of Record
Talent hired and managed by us, directed by you.