AI & AUTOMATION
Automation for one specific job.
We start with a repeatable workflow, decide what the model may do, and write the tests before giving it access to your tools.
What we make.
Vertical AI Agents
A model given one job, the minimum tool access it needs, and a clear path to ask a person when it is unsure.
See the scope→Chat-on-Your-Data (RAG)
Search company documents in plain language and open the source passage behind each answer.
See the scope→AI Feature Integration
Add a specific model-backed task to an existing product, with fallbacks, usage limits, and monitoring.
See the scope→Workflow Automation
Move routine information between existing tools, including retries, alerts, and a record of what happened.
See the scope→Write the test before building the agent.
We collect real examples of the work, including awkward cases and wrong answers. Those examples become the evaluation set. The agent does not get wider permissions until it passes the agreed checks and the review path is clear.
Show us the repetitive part.
A screen recording of the current workflow is often the most useful place to begin.
Choose a time