This is our native ground and the platform is live. Agents work the board, autopilot chains the tasks, engineers decide at the gates, and every release can be traced back to who approved it and why. Installed in your environment, on the model you choose.
Assistants made individual developers faster and made the codebase nobody’s. Output doubled, review did not, and the teams that mandated AI use are now the teams that stopped verifying. The fix is direction: agents pointed at specified work, people at the points that carry consequence, and a record underneath so speed and accountability stop being a trade.
The delivery loop, end to end. Each stage runs on the platform that is in production today.
The RFC pipeline turns a feature request into scoped, reviewable work before any code exists. No agent writes a line until the task is specified, and the platform enforces that order. Most delivery problems die right here.
Tasks run against your real codebase with your conventions loaded. When one completes, the next in the dependency line starts on its own. Sixteen seed safety rules block destructive commands out of the box, and cost budgets warn or stop an agent before it spends what it should not.
Merges gate on a person. When an agent needs a decision mid-run it stops and asks: a prompt appears, someone chooses, the run continues. The gate is built in and it has a name on it, which is what makes the speed safe to keep.
What shipped, from which spec, approved by whom, at what cost. The changelog writes itself from the git log, and the run history is filterable months later, when someone asks the 11pm question.
Bug triage, dependency updates, test coverage, and the migration that has been on the roadmap for two years. This is where agent capacity pays fastest, because it is work your best people should never be doing by hand.
Pulse 1.0 shipped in June. One installation serves one client. Your code, your data and the record stay on your systems, and the model underneath stays your choice. It connects to the stack software teams already run: Slack, GitHub, Atlassian, Linear, Notion, Sentry, Supabase, PostgreSQL, AWS and GCP.
Four things we do that the agent vendors will not, because their model does not allow it.
If your pipeline or your codebase cannot carry an agent yet, we say so in week one and fix the ground before the build. A demo that works on a good day is easy. A pipeline that holds on a bad one is the product.
Everything runs inside your perimeter, on models you choose and can swap later. The record of what every agent did stays in your hands, so answering a board or an auditor never requires a supplier's cooperation.
Each application registers its specification, its gates and its record in one layer. That is what keeps ten agents from becoming ten little mysteries, and it is designed to take agents you bought elsewhere too.
The definition of done is written before we start, and it ends with your people at the gates. We grow by being asked back for the next problem, and we would rather lose a quarter of billing than a reference.
Three doors. Each is fixed in scope and fee, and each ends with something you keep whether or not we continue.
Four weeks, fixed fee, one slice of your delivery running on the platform with a figure agreed in advance. The fastest honest way to judge us.
The copilot rollout or agent experiment that never left the demo. Two weeks to a decision: recover it, rebuild it, or stop.
Where the team needs the operating discipline before more speed helps: specification, gates, cadence and the record, installed inside your delivery rhythm.
Thirty minutes, no slides. Bring the workflow that hurts and we will tell you what we would put on it, and what we would not.