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Sovereign engineering & services

Sovereign AI requires sovereign engineering.

We don't just hand you a control plane. We make you sovereign, and keep you that way: custom models, architecture and migration, delivered as artifacts you own.

Start with a sovereignty audit Why sovereignty
YOUR BOUNDARY · YOUR INFRASTRUCTURE Governance & guardrails Enforced policy · coverage you can prove to an auditor 04 Domain-tuned models Guardrail models fine-tuned on your policy, your risk surface 03 Enterprise architecture IaC, legacy migration, multi-region HA, deployed & owned 02 Sovereignty foundation The control plane inside your network. Nothing crosses unseen. 01

The principle

We don't stop at the deck.

We'll do the strategy, the architecture review, the hard thinking. But the engagement doesn't end with a recommendation, it ends with the working system in your hands. We get into the code, the infrastructure and the models, and we leave you owning all of it.

40+ years of combined engineering, built at the scale you operate at
Production systems shipped at Amazon· GE· Tata and other operators, not slide decks

How we work

Advise, build, embed, transfer.

One arc, hands-on at every step. We're in the room for the decision and in the repo for the delivery, and the last step is always you running it without us.

→Advise. The strategy and architecture work a consultancy would do, grounded in what's actually deployable, not a generic maturity model.
→Build. We write the models, the infrastructure-as-code and the migration. Real commits, not a backlog handed to your team.
→Embed. We work alongside your engineers, in your stack, so the knowledge stays after we leave.
→Transfer. Git-based handover of every model, pipeline and config. No dependency on us, by design.

Build engagements

What we build, and hand over.

01

Optimised guardrail models

Domain-specific AI safety models, built for your risk surface and handed over to run yourself.

→Low-latency tuning. Quantised models optimised for TensorRT and CUDA, so guardrails don't cost you the request budget.
→Domain specificity. Fine-tuned on your internal policy documents, not a generic safety corpus.
→Evaluation frameworks. Automated red-teaming and regression pipelines, yours to keep running.

Ideal for: healthcare, fintech, legal.

02

Enterprise architecture

The control plane deployed inside your boundary, production-grade, infrastructure-as-code.

→Infrastructure-as-code. Terraform and Helm for AWS, Azure or GCP, or fully air-gapped.
→Legacy migration. Rewriting brittle Python middleware to the Rust-native VidaiServer hot path.
→High availability. Multi-region clustering and failover, designed for your SLA.

Ideal for: enterprise platforms, regulated scale.

A fast way to start

The Sovereignty & Cost Audit

Not sure where you stand? We run the sovereignty checklist against your real deployment and hand back a findings report: where your AI data goes, whose law can compel it, what ungoverned spend is costing, and a ranked remediation plan you keep, engagement or not. One of the ways in, not the whole method.

See the Shadow AI Audit Checklist →

Where it leads

From an engagement to a product you own.

VidaiAssistant, our offline evidence-grounded assistant, grew directly out of this work for sovereign customers. Engagements often productise into something your organisation runs for years.

See VidaiAssistant →

Bring us the hard problem.

A direct conversation with engineers, not a sales process. Tell us the constraint, or start with the sovereignty audit.

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