Everything your AI touches, Cyvia reads and puts in your control, at the three points you could lose it. It readies your data at rest, routes each workload in motion to the model that fits, and governs every prompt and agent as it acts. One engine across all of it, so what is understood at one point becomes control at the next, and nothing is learned twice or left ungoverned in between.
We are working closely with a first group of enterprises putting this into production. There is room for a few more.
The file a model reads at rest, the workload it runs in motion, and the action an agent takes at runtime are the same data, asking the same question, what is this, and what is it for. Most teams split it across separate tools, one for the repository, one for the traffic, one for the prompt, and each sees a slice, with gaps in between where the risk and the cost live.
Cyvia answers it once and carries that answer across all three. The understanding written when your data is read becomes the routing decision in motion and the control enforced when your AI acts, with nothing dropped in between.
Answer it once. Control it everywhere.
Every classifier makes you trade accuracy for speed or cost. Cyvia's engine does not. A proprietary cascade spends heavy computation only where it changes the answer, so you get frontier-grade accuracy, single-digit-millisecond speed, and a cost that does not climb with every call.
And it reads intent. Not just what a piece of data contains, but what it is for, what a prompt is really asking, and what an agent is about to do before it acts. This is the reading most systems never attempt, and it is what our patent is filed on.
Agents now call tools, move records, and take actions on their own. The risk moved from what a model says to what a system does, and almost nothing in the stack reads intent before an action runs.
Throwing a frontier model at every task made sense while compute felt free. Now that cost is in the equation, running classification, routing, and governance through the most expensive model available is a bill nobody can defend.
Across every major market, knowing what personal data you hold, who can reach it, and being able to prove it, is now the law.
When proprietary data flows into someone else's model, it stops being your advantage. Keeping intelligence, classification, and control on your own side of the line is how you keep what makes you different.
The proprietary data that makes you different is the exact data you should keep closest.
The same engine runs in every mode, so how much of the stack lives in your environment is your call, not a trade-off on capability.
When speed matters. Fully hosted, running the moment you connect a source.
In your own account and keys, with the data plane never leaving your cloud.
In your own data centre, for estates that keep everything behind their own walls.
Fully sealed for sovereign estates, with zero outbound calls of any kind.
Cyvia sits inside your boundaries and feeds the tools your teams already run, rather than becoming one more console to watch.
Most tools stop at discovery and leave the hard part to you. Cyvia reads your data wherever it lives, classifies what it holds and what it is for, then acts, writing labels, closing exposure, and making it genuinely ready for RAG and fine-tuning. Better inputs, better AI.
Most enterprises route every request to one frontier model and pay frontier prices for all of it. Cyvia reads what each request needs and routes it to the cheapest model that is approved and capable, so most run leaner and faster and the frontier is saved for what earns it. It runs wherever your models run.
Your exposure is no longer just where data sits, it is what your AI reads, says, and does with it. Cyvia classifies sensitive data at rest, then enforces that same understanding at runtime, checking every prompt, response, and agent action before it runs. One understanding of your data, applied the whole way through.
The three products cover the problems most enterprises share. Some problems are yours alone, too specific for any product. For those, the same engine behind the platform can be shaped into a custom model, built with you, fine-tuned on your own data, and run in your own environment.
It is how a regulatory-technology firm classifies disclosure events for listed companies at frontier-band accuracy, in its own tenant, at a fraction of the cost.
Explore Model Foundry →The fastest way to understand Cyvia is to point it at your own data and your own traffic, and watch one engine ready it, route it, and govern it. We can show you on a live environment, then talk about where you are and what you need.