On-prem by default.
Customer data does not leave the customer's network. Cloud deployments exist where the customer asks for one, but they are the exception, not the default.
We build AI forphysical security and operations.
We work with integrators, control rooms and critical sites across Europe. We take vision models from the lab to your hardware.
A small team of AI researchers and engineers, focused on one problem: making vision work, in production, on the hardware our customers actually run.
Most of our work is invisible: model tuning, compile-time optimization, latency budgets, integration with the customer's existing surveillance stack. The visible part — the operator interface, the events that fire — is the smaller half.
The peoplebehind the work.
LorenzoCEO 
FedericoCTO 
GiovanniML Engineer 
AndreaDeployment Engineer 
AtabaySoftware Engineer
Plus many AI agents, always on. Roster updates with the team. Reach out via info@daskell.com to talk to any of us directly.
What we willand won't ship.
We work in physical security. The systems we build observe people. That responsibility is the first thing on our minds when we accept an engagement. These are the principles we operate by — and the ones we use to decide what we will and won't take on.
Customer data does not leave the customer's network. Cloud deployments exist where the customer asks for one, but they are the exception, not the default.
We detect, track, and classify behavior. We do not perform face-based identity inference unless the deployment is explicitly authorized by the customer, the operator, and the relevant regulators.
The system surfaces events for an operator to act on. It does not take physical actions. The operator decides what happens next; the system supports the decision.
Every detection, track, and event is timestamped, attributed to a model version, and stored in a way the customer can audit. We will not ship a system the customer cannot inspect.
We hire whenwe have a real seat.
We don't keep an evergreen careers page. If you're a vision researcher, an ML engineer who likes embedded targets, or a deployment engineer who has wrestled an on-prem stack into production, write to us.
careers@daskell.com