We moved on from systems that keep records to agents that run the work. But in the places where a wrong answer is expensive — an access decision, a closure, a line of code — the last call never belongs to a model. That is the line every product we build is designed around.
Each one is already running in the field, each one starts with a free trial period, and each one is deployable inside your own network.
Autonomous audit on your support desk
It resolves tickets that have a known answer before they are ever opened, flags out-of-scope consulting before a record closes and chases unbilled effort all the way to accounting.
LiveData security built for the AI era
Access is closed from the network layer down to the table layer. Every decision is rule-based and 100% deterministic — a compromised AI agent is no exception.
All regulationsAll of Oracle development in one window
Write, compile, debug, profile, run the regression set and see the Dev–Test–Prod difference before the release. Native on Windows and macOS, instant on the largest schemas.
The right toolThe reason enterprises hesitate about AI is rarely the capability. It is the question of who is accountable when the answer is wrong. We answer that question at the product architecture level, not in a policy document.
In Director every suggestion carries an “AI can be wrong” warning and managers hold a by-pass right. No record closes on its own.
Data Castle decides access with rules only: the same request returns the same result every time, and that is what makes it defensible in an audit.
Deployable on your own infrastructure. The model choice is yours: cloud or your own hardware — airgapped included.
The model cost of every audit is reported per record. An AI project stops being an open-ended invoice.
A local Oracle diagnostics engine running airgapped on the customer’s own hardware — data never leaves the organisation. The product overview is being prepared; get in touch if you would like to be involved early.
Every product starts with a 30-minute scoping call and a measured report at the end — on your own data, at no cost and with no commitment.