Your Data.Your Domain.Your Model.
Locai Labs builds domain-specific language models for enterprises, trained on your data, deployed inside your perimeter (on-prem, your cloud, or our UK sovereign cloud), and owned by you. No data leakage. No lock-in. Private by architecture.
The Locai Platform
We build AI that you own and control.
Your own bespoke LLM.
A foundation model post-trained on your data and continuously retrained as your business develops. Your data, your weights, your IP.
Chat. Coder. Agent.
One deployment-ready application to enable multiple workflows including chat, coding and agentic capability.
Secure deployment.
Deployed securely on either your sovereign private cloud, air-gapped, or our dedicated Locai Labs managed cloud. ISO 27001 compliant.
Continual learning.
Data collected through the applications feeds scheduled retraining runs powered by our proprietary continual-learning framework, so the model compounds in value the more your team uses it.
Choose where it runs
Sovereign, your way.
Workstation
For a team.
A Locai workstation appliance 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.
Server rack
For a department or enterprise.
A 4U rack appliance that slots into your server room. Higher capacity, more concurrent users. Same sovereignty as the workstation, more scale.
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.
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, delivering accuracy that general-purpose models simply can't match.
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 demoThe Technology
Powered by Forget‑Me‑Not™
The central technical barrier to domain-specific AI is catastrophic forgetting: when you fine-tune a model on specialist data, it loses its general capabilities. Locai's patent-pending Forget-Me-Not™ framework solves this.
Experience Replay
Mixes previous training data with new domain data during fine-tuning, preserving the model's broad knowledge while it learns your specialist vocabulary and workflows.
Self-Improvement
The model generates and evaluates its own training examples across helpfulness, relevance, factuality, conciseness, and complexity, enabling continuous enhancement without expensive human-labelled preference data.
Locai works across industry
Built for regulated, knowledge-heavy industries.
Technology
Codebases, internal tooling, and engineering knowledge stay inside your perimeter, with a model that learns your stack.
Financial Services
Regulated workloads (research, compliance, risk) handled by a model trained on your filings and policies.
Science and Research
Domain-grade reasoning over your papers, datasets and lab notebooks, deployable on air-gapped HPC infrastructure.
Manufacturing
Embed decades of process know-how, SOPs and equipment manuals into a model that runs on the factory floor.
Energy and Utilities
Critical-infrastructure-grade AI that respects national resilience requirements and stays inside your network.
Telecommunications
Operations, network knowledge and customer data stay sovereign, no provider lock-in, no cross-border data flows.
Public Sector
AI built for citizen services and regulated departments, UK-hosted, auditable, and aligned to public-sector procurement.
Healthcare
Clinical literature, trial data, and patient records reasoned over inside your perimeter, with the controls regulated medicine demands.
Don't see your industry? We work across regulated, knowledge-heavy domains.
Request a demoConfigure Your Model
Choose your model.
Choose your deployment.
Every configuration is fully sovereign. Pick the size and infrastructure that fits your organisation.
Model size
Hardware
Deployment
Application 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
Sovereign AI for a nation
Your own sovereign LLM
and application suite,
for your nation.
We partner with governments and national institutions to deliver a sovereign large language model grounded in your country's laws, languages and values, plus an application suite (chat, coder, agent) that runs on top of it. The same Locai approach that gives enterprises their own model, applied at national scale.
Grounded in your laws and values
Post-trained on the legal codes, regulations and cultural context that govern your country, so the model reasons inside your jurisdiction, not someone else's.
Fluent in your languages
Trained on the official, regional and minority languages your citizens actually speak, including low-resource and historically under-served languages.
Hosted on your terms, owned by you
Deploy on your own national infrastructure, on a domestic cloud, or on our UK sovereign cloud. Wherever it runs, the weights, IP and continual-learning artefacts belong to you.
Live in the United Kingdom
Meet GB1, the British AI assistant.
A citizen-facing AI assistant built on Locai Labs' sovereign British models, trained inside the UK and operating under UK law. The same architectural approach is offered to other national governments.
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.
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.