GroveAI
Local AI

Local & Private AI

Your data never leaves your network. Powerful AI models deployed on your own infrastructure.

For industries where data privacy isn't optional, cloud AI isn't an option. We deploy open-source language models on your own servers or private cloud - giving you the power of frontier AI with complete data sovereignty. Our team handles everything from hardware assessment and GPU provisioning to model selection, fine-tuning, and production deployment.

Use Cases

What this looks like in practice

Clinical Note Summarisation

Healthcare providers use local models to summarise patient notes, extract diagnoses, and generate referral letters - all without patient data leaving the hospital network.

Privileged Document Analysis

Law firms analyse contracts, case files, and privileged communications using on-premise AI. Attorney-client privilege is preserved with zero data exposure.

Financial Data Processing

Banks and financial institutions process trading data, compliance documents, and internal reports using models that never touch the public internet.

Government & Defence

Classified and sensitive government data analysed locally. Air-gapped deployments available for the highest security requirements.

RAG Over Internal Knowledge

Retrieval-Augmented Generation pipelines that search your internal documents, wikis, and databases to answer questions with source citations.

Custom Model Fine-Tuning

Fine-tune open models on your proprietary data to create domain-specific AI that understands your industry terminology and processes.

Technology

Tools we work with

Llama 3MistralQwenPhiGemmavLLMOllamaTGINVIDIA GPUsDockerKubernetesChromaDBQdrantPostgreSQL pgvectorLangChain

How It Works

Our approach

01

Infrastructure Assessment

Evaluate your current hardware, network, and security requirements

02

Model Selection & Sizing

Choose the optimal model size vs performance tradeoff for your use case

03

Deployment & Configuration

Set up inference servers, load balancing, and API gateways

04

RAG Pipeline (if needed)

Build document ingestion, embedding, and retrieval pipelines

05

Fine-Tuning (if needed)

Train the model on your domain-specific data for higher accuracy

06

Monitoring & Lifecycle

Set up model versioning, performance monitoring, and update procedures

Starting from

£25K

Timeline

4-8 weeks

Ready to get started?

Book a free strategy call and we'll assess whether this service is the right fit for your business.