Private LLMs, secure by default
We build private AI stacks on open models, train small models for your hardest processes and guard everything with our own security platform. For European companies that cannot afford to leak what they know.
Outer layer
Prompt injection, phishing and credential stuffing die at the outer layer. The model never even sees them.
Inside the perimeter
Weights, documents and query logs stay inside. Not a single prompt leaves the network, and agents keep watch around the clock.
Vallum builds private AI for companies that can't afford to leak what they know. Quality on par with the leading cloud assistants for your tasks, running entirely on your own servers.
Open models, search across your own documents, agents and integrations with your systems. Installed turnkey on your hardware or a private EU cloud.
How we build itFor your hardest processes we train compact models that beat general giants at that one job and run on modest hardware. The weights belong to you.
Why small winsOur own platform guards every model and agent against prompt attacks, data leaks and human error, and watches them around the clock.
See the platformYour teams already paste contracts and customer exports into public chatbots. Whatever goes in is stored on someone else's servers, often outside the EU.
Once a contract or CRM export is pasted, you cannot take it back.
Sending personal data or trade secrets to a third country service puts you on the wrong side of GDPR and your own policies.
A hidden instruction in an email or file makes the assistant reveal what it should not.
Each process gets its own small model, its own rules and its own human owner. Connected, they give your company an advantage nobody can copy.
AI doesn't replace your experts. It multiplies them.
How the machine worksNo big bang. One process, a measured result, then the next deliberate step.
We map your processes and risks, find where people already use outside AI and pick the one process worth starting with.
Your decisionWhich process goes first.
A minimal private stack on modest hardware, tuned for that one process and used by real people. We measure before and after.
Your decisionDoes it pay off? Do we widen it?
When the pilot pays off, we train a compact model on that process. More accurate, cheaper to run, and yours.
Your decisionWhich processes join next.
Process by process, the nodes connect into one line that grows with your business, inside the same protected perimeter.
Your decisionA roadmap for the year.
Suggests answers from internal policy while customer personal data is masked before it ever reaches the model.
Searches technical documentation and incident history inside the isolated OT segment, with no internet access.
Structures discharge notes and finds what matters in patient history. Patient data never leaves the hospital server.
Flags risky clauses, compares versions and drafts a position inside an isolated environment.
Classifies incoming requests and drafts replies on sovereign EU infrastructure.
Code assistant and alert triage on your own GPUs. Code and logs stay where they are.
vLLMKubernetesQdrantMistralLlamaGemmaPostgreSQLVaultOpenTelemetry
Only open models and components. Source code and configuration are yours after handover.
Architecture designed around European rules, with data kept on EU soil.
We do not publish client names. Case studies and references are shared in a meeting.
Not covered here? Ask in the form below and we reply within one business day.
For one department a single server with two L40S class GPUs is usually enough. We size it precisely during the audit, based on users and document volume. If you already have suitable hardware, we use it.
For your tasks, yes, and we prove it: we measure quality on your own examples before and after the pilot. On work grounded in your documents a tuned local stack answers on par with the cloud leaders and cites the source. For open ended creative work and hard maths the largest cloud models are still stronger, and we say so up front.
Yes. Model, agents and knowledge base run in an air gapped segment. Updates are brought in manually after testing in a separate staging environment.
Only engineers you approve, and only on your servers. We sign the NDA before first access and never copy data to our side.
Every action is logged with its reason. Uncertain cases are escalated to a person instead of being blocked. We tune the rules with your security team in the first weeks.
Yes: Microsoft 365, SharePoint, SAP, Jira, Confluence, email and file shares. If a system has an API or an export, we can connect it.
The audit is a fixed fee and takes two weeks. Rollout is priced after the audit, once hardware, data volume and perimeter requirements are clear.
Everything: the model, configuration, integration source code and documentation. There are no closed components or licences tied to us.
In two weeks we show where data already leaves through external services and propose the architecture for your perimeter.
