Your data.Your model.
Sovereign enterprise AI, trained on your data, deployed inside your perimeter, owned by you.
Locai One
The On-Prem
AI Computer.
Fixed-cost on-prem hardware that runs your models, right on your desk. Trained on your data, served to your whole team, with nothing ever leaving your environment.
Locai Model Customiser
Build your own
enterprise AI model.
Locai Model Foundry builds a bespoke AI model for your business. We post-train a frontier model on your industry and your proprietary data, then deploy it inside your environment, ready to serve your team through the applications we provide. You own the model, the weights, and the pipeline.
Train
Post-train a frontier-class base model on your proprietary data and workflows.
Deploy
Run on Locai One, your cloud, or our UK sovereign cloud, weights stay yours.
Own
The model, weights and pipeline are yours, no vendor lock-in, no per-token bills.
Why it matters
The case for sovereign enterprise AI
A model built on your data and deployed on your infrastructure gives you capabilities and protections that no cloud AI vendor can offer.
Your model is trained on your data and belongs entirely to you. No third party holds rights to your outputs, weights, or training data. Unlike API-based AI, there's no contractual ambiguity, it's yours, full stop.
Cloud AI vendors can deprecate models or revoke access with little notice. A sovereign model deployed on your infrastructure runs on your terms, no vendor can pull the plug, and there's no service outage that takes your capability offline.
Your model is trained on your documents, workflows, and institutional knowledge, not the public internet. It understands your domain the way a seasoned expert does.
Every inference runs inside your perimeter. Your prompts, documents, and outputs never leave your infrastructure. No data leakage, no GDPR exposure, no risk of your proprietary information appearing in someone else's training set.
See how a sovereign model fits your environment.
Request a demoChoose where it runs
Sovereign, your way.
Locai One
For a team.
A Locai One AI Computer that ships pre-configured with your model. Sits in your office or lab. Air-gappable. The fastest way to put a sovereign model in front of a team.
Cloud
Your cloud, or our UK sovereign cloud.
Deploy inside your own AWS, Azure or GCP tenant, or on Locai Labs' dedicated UK sovereign cloud. Wherever it runs, the weights, IP and continual-learning artefacts stay yours.
*AI generated images. Final build subject to bespoke configuration to you.
*AI generated images. Final build subject to bespoke configuration to you.
Locai works across industry
Built for regulated, knowledge-heavy industries.
Don't see your industry? We work across regulated, knowledge-heavy domains.
Request a demoApplication Suite
A full application suite,
built on your model.
Your sovereign model powers a complete layer of applications, every interface your teams use, deployed under your brand, on your hardware.
IDE Coding Assistant
VS Code, JetBrains, and Cursor extensions trained on your codebase, standards, and architectural patterns.
def calculate_yield(batch_id):
return model.predict(
domain="pharma",
batch=batch_id
)
Browser Chat Interface
A white-labelled conversational interface that surfaces your institutional knowledge on demand.
Summarise the Q3 compliance review for the trading desk.
The Q3 review identified 3 open items in derivatives reporting. Remediation deadline: 15 Jan. Full report in section 4.2.
RAG Pipeline
Retrieval-augmented generation over your documents, contracts, and proprietary data. On-premise vector store.
Agentic Coding CLI
A terminal-native coding agent that understands your repositories and follows your team's conventions.
$ locai run --task refactor --scope src/
↳ Analysing 847 files...
↳ Applying domain conventions
✓ 23 files updated, 0 regressions
Mobile Application
Native iOS and Android apps giving your workforce on-the-go access to your sovereign model. Secure, offline-capable, deployed under your brand.
OpenAI-Compatible API
A drop-in REST API replacement. Switch endpoints, nothing else changes. No cloud. No per-token cost. No lock-in.
// before
base_url = "api.openai.com/v1"
// after
base_url = "your-infra.internal/v1"
✓ no other changes required
FAQ
Frequently asked questions
If your question isn't here, our enterprise team will answer it directly, usually within the hour.
Get in touch →A typical engagement runs 10–12 weeks from scoping to deployment. Discovery and scoping take 1–2 weeks, training runs 4–6 weeks depending on model size and data volume, and deployment and integration take a further 2 weeks. We can compress this timeline for urgent requirements.
No. Training and inference run entirely within your environment, your on-premises hardware, your private cloud, or our dedicated UK cloud environment.
Requirements vary by domain and use case, but we work with most structured and unstructured formats: PDFs, Word documents, databases, proprietary file formats, structured logs, and more. We'll specify minimum data volumes and quality thresholds during scoping. You don't need clean, labelled data, part of our process is data preparation.
Standard fine-tuning causes catastrophic forgetting, the model loses general reasoning capability as it learns your domain. Forget-Me-Not™ is our proprietary approach that preserves base model capability while building deep domain expertise on top. The result is a model that reasons as well as a frontier model but knows your domain like an expert who's been there for years.
Requirements depend on model size. Our 35B model runs on a single A100 80GB server. The 120B configuration requires a multi-GPU node (4× A100 or equivalent). We can advise on hardware procurement, work with your existing GPU estate, supply an NVIDIA Spark or DGX Station, or arrange UK cloud compute if on-premises capacity isn't yet in place.
Yes. Every engagement includes a continuous retraining programme. We run scheduled retraining cycles incorporating new domain data, user feedback, and updated benchmarks. The model stays current with your domain rather than becoming stale after initial deployment.
Engagements are scoped individually based on model size, data volume, deployment complexity, and ongoing support requirements. We don't publish fixed pricing because the right configuration varies significantly by organisation. Book a discovery call and we'll give you a clear cost range within the first conversation.
We can provide security documentation, technical architecture detail, and DPA support for procurement processes.
Let's talk
Ready to bring
AI home?
Every engagement starts with a discovery call, no commitment, no pitch deck. Just a conversation about your requirements and what sovereign AI would look like for you.
Request a demo