There are more classification problems in the world than we could ever productise. So for the ones that are yours alone, we build a custom model, bespoke, with you and for you, on the same engine behind Data Lens, Intent Router, and Intent Gateway. Your problem, your data, your model.
A custom model is not a handover. We work alongside your team through every stage, from the first build to keeping it sharp in production.
Starting from the engine that already classifies at over 99% accuracy on the entities most tools skip, we shape a model for your problem, with you.
You fine-tune it on your own data, in your own environment, with our team beside you. Your data is never shared with us, and the model that results is yours alone, tuned to you and to no one else.
Run it wherever the work happens, inside your VPC, inline in your fabric, at the edge, or on the device itself. It is your model, running on your side of the line.
Models drift as the world moves. We stay engaged for the life of the model, watching for drift, retraining and updating it, so it keeps performing long after day one. You are never left to figure it out alone.
US, ALONGSIDE YOU, THE WHOLE WAY
Reaching for a frontier LLM to classify every document works in a demo. In production it is slow, expensive, and hard to hold steady, and usually means sending your data somewhere you would rather it did not go. A purpose-built model changes all four at once.
Small, focused models answer in milliseconds, not seconds, fast enough to sit inline in a network path.
You stop paying frontier token prices for a task that never needed a frontier model. The cost stops scaling with every call.
The model lives in your environment, so nothing sensitive has to travel to a third party to be understood.
A model built for one job behaves predictably at that job, rather than drifting the way a general model does when the prompt shifts.
The accuracy of a specialist, at the speed and cost of something small enough to run anywhere.
These are real problems we are solving with custom models. Different domains, different surfaces, the same engine underneath.
For a regulatory-technology firm, a custom model that classifies disclosure events for listed companies, matching frontier accuracy on the task at a fraction of the cost, running inside their tenant so no document leaves it.
A model that reads documents in real time as they move to print, so sensitive material is caught before it ever leaves the building.
A model a hardware maker and their integrator run to do discovery, classification, and intent right on the device, with no round trip to the cloud.
If your product touches data, there is a version of our classification engine that can power it.
The surfaces keep multiplying. A document on its way to print, a file on a laptop, a record moving between systems, a request crossing a network. Wherever data is created or moved, something has to decide what it is and what it is for. Model Foundry is how that decision gets made, in the places a general model was never going to reach.
The frontier is not one giant model that does everything. It is many small ones, each doing one thing exceptionally, close to where the data lives.
If you need to understand data quickly, cheaply, and inside your own walls, we should talk. We build a small number of custom models at a time, and there is room for a few more.
Run it yourself, or embed it in what you sell and take it to your own customers through Build on Cyvia.