The Building Blocks of AI You Own
Owning your AI is not one product, it is a set of parts that fit your infrastructure. These are the pieces we build and combine for enterprises that need control, on-premise or in an EU-sovereign cloud.
Composable
One system, six parts
Sovereign
Runs where you decide
Yours
End to end
Six Blocks, One Owned System
Each block solves one hard problem in enterprise AI. Together they cover the path from first cloud dependency to infrastructure you fully control.
Sovereign LLM Gateway
Adoption without a rewrite
The biggest barrier to leaving a cloud model is not the model, it is the rewrite. A gateway that speaks the same API as the tools your teams already use lets an application point at a model you host by changing a single address.
One integration surface sits in front of your own models, so you can move workloads in without touching every codebase that depends on them.
PII-Redaction Proxy
Use frontier models without the exposure
Some teams want the strongest external models but cannot let raw personal data leave the building. A proxy that sits in front of any model detects and replaces sensitive fields before a request leaves your perimeter, then restores them in the response.
Every call is logged for audit, so a hybrid setup stays defensible under GDPR without giving up capability.
Agent Flight Recorder
Governance for autonomous AI
Agentic systems act on your behalf, which raises an obvious question a regulator will also ask: what did the agent do, with what data, and who approved it. Most deployments cannot answer.
A tamper-evident record of every decision, tool call, and human approval, with the ability to replay a run, turns an opaque agent into one you can supervise and explain.
Specialized Small Models
Smaller, sharper, yours
A compact model fine-tuned on one task often matches a far larger general model on that task, while running faster and on modest hardware you own.
We turn your task and your data into a focused model that fits your infrastructure, so the sovereignty case and the cost case arrive together.
AI Evaluation Harness
Continuous integration for AI
Software has automated testing; most AI systems ship on a hunch. Without a way to measure quality, a prompt tweak or a model swap can quietly regress in ways no one notices until a customer does.
Golden datasets, regression checks on prompts and model versions, and hallucination tests, all run on your own data, make changes to an AI system as safe to ship as changes to code.
AI Bill of Materials
Know what your AI is made of
Auditors and boards increasingly ask what a system is built from. For AI that means the models, the weights, the training and retrieval data, the licenses, and where each of them physically runs.
A living inventory of every component and its data lineage answers those questions before they are asked, and becomes a natural entry in your trust documentation.
How the Blocks Fit Together
How do these capabilities fit together?
They are composable. The Sovereign LLM Gateway routes every request, the PII-Redaction Proxy protects data before it leaves your control, and the Agent Flight Recorder logs every action an agent takes. Specialized small models, an evaluation harness, and an AI bill of materials round out the set. Adopt one block or combine them into a full owned system.
Can we start with a single capability?
Yes. Each block solves a distinct problem and runs on its own. Most teams start with the one that hurts most, an ungoverned agent or an unprotected data path, then add the others as the system grows.
Do these run on our own infrastructure?
Every capability is built to run sovereign, on hardware you control, with hybrid and EU-cloud options where those fit better. You own the models, the logs, and the data.
What is an AI Bill of Materials?
A record of every model, dataset, and dependency in your AI systems. It shows what your AI is made of, which matters for compliance, audits, and supply-chain assurance.
Start With the Piece That Hurts Most
These blocks combine into a system you own end to end, but most engagements begin with one pressing problem. Tell us yours.