We design and build agents that read your company's data, answer questions about it, watch it for problems, and tell the right person. Built so each agent can only see and do what it should.
Practical jobs that save someone time, not demos.
Ask a question in plain language and get an answer grounded in your own records, with the data it used, instead of a guess.
Agents that run on a schedule, check your data for things that matter, such as unpaid invoices, stalled work, or gaps in what you need to be ready for a milestone, and raise a notification.
Pull structured information out of decks, cap tables and company documents, and propose the values for a person to review and confirm before anything is saved.
Let your team describe what to watch for in plain words, and have the agent evaluate it on the schedule you choose.
The hard part of agents isn't getting them to work, it's making sure they can't do the wrong thing. These are the habits we build in.
Each run gets access to one customer's data only, enforced by the system and not left to the model.
Agents get a fixed, limited set of tools. Where one can write, the write is narrow, and extraction agents only propose changes.
Credentials are added by code at the moment of each call, so the model can't leak, mistype or choose them.
Every tool call is validated against the tool's real definition before it is carried out.
Plain code you own. We build directly on the model providers' APIs and open standards such as MCP for connecting tools, rather than tying you to an agent framework, so you can read, change and run what we deliver.
Describe the task and where the data lives, and we'll tell you whether an agent is the right tool.
