We find the expensive repetitive work in a company and replace it with a system.
Unrote brings AI automation into everyday operations - the manual steps that eat hours every week and never make it into anyone's job description. We turn them into software that runs quietly and keeps running.
Four steps, one process at a time.
We do not automate "everything". We pick one process where the money leaks, prove the result, and only then move on to the next one.
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Audit
We sit with the people who do the work, map the process, and measure where time and money actually go. The output is a written picture of what is worth automating and what is not.
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Pilot
One process, one success metric agreed in writing. We build a working system on real data and check it against that metric before anyone decides on the next step.
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Rollout
The pilot becomes part of daily operations: integration with mail, documents and internal systems, access rules, training for the team, monitoring.
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Ongoing support
Models change, documents change, people change. We keep the system running, update it, and stay responsible for how it behaves in production.
It can run inside your perimeter.
Most AI tools send your documents to someone else's cloud. For a law firm, an accounting practice or any company with client data, that is often a non-starter. We build systems that can run on the client's own servers, with open models, so the data never leaves the building.
Cost is fixed. There is no per-token meter that grows with usage and surprises finance at the end of the month.
- Runs on the client's servers when data is sensitive.
- Data does not leave the company perimeter.
- Fixed cost, no token counter.
- Engineering discipline: metrics, monitoring, ownership.
We run LLM inference in production, not in demos.
Unrote builds and operates self-hosted LLM inference: the kind of infrastructure that has to work every day, at scale, on hardware the client controls.
Ten cases, from moderation at scale to unlogged billable hours.
Systems we built and run in production, and the work we are set up to take on next. No client names. Every card opens into the full problem, solution, result and stack.