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See what your people and AI agents
actually deliver.
When everyone has AI, the difference is what people bring to it. Hatch turns everyday work signals and voice conversations into a real-time view of performance. See what people contribute, where agents help, and how effectively your team puts AI to work. Make human judgment, taste, and context visible.
You can price the agent layer. You cannot price the team.
Almost every company added agents this year. Almost none can say what changed. Output moved, but nobody can separate the half a person did from the half a model did, or tell you whether the last five hires were worth it.
weeks between the work happening and anyone reviewing it.
times a year, and everyone games it the week it goes out.
days behind the work, read from the systems it already lives in.
From work done to what it produced.
No forms. No surveys. No quarterly cycle. Hatch reads the work already moving through the tools your company runs on, and attributes every piece of it.
Work happens.
Commits, tickets, deals, documents, calls and calendars. The work your team already does, in the tools they already use.
Hatch reads it.
Hatch reads it continuously. Nobody fills in a form, and nobody writes a status update describing something that already happened.
Contribution is attributed.
Every contribution is attributed to a person or to an agent. That split is the thing no other system in your stack can give you.
You see the number.
Output per person. Cost of delivery. Where capacity is sitting idle. Weekly, with the work behind every number.
See every action an agent takes.
Every action an agent takes is recorded against the work it touched and the person it was working for. When output moves, you can see which half moved it. That is the difference between an adoption dashboard and a return.
- Latency, rows and policy decision for every call
- Replay any turn with time travel on every view
- Export to OpenTelemetry, Langfuse or Datadog
This week, or next quarter.
A quarterly review tells you what happened eleven weeks ago, filtered through what a manager remembers. Hatch tells you on Monday, from the work itself.
Bring any agent. Keep your stack.
Hatch reads the systems your company already runs on, and the agents your team already uses. No migration, and no new tool for anyone to adopt.
Slack
GitHub
Linear
Close CRM
Rippling
Google Workspace
Anthropic
OpenAI
Four people ask this. One of them is in HR.
Know whether the team actually got faster.
You can feel whether the team got faster. You cannot prove it, and you cannot tell your board which part of it was the agents. Hatch separates the two and shows the trend with the work behind it.
- One bundle per customer: profile, orders, tickets
- PII masked before it reaches the prompt
- Citations link back to the source event
Price output per person, not just headcount.
You already know what the agent layer costs. Hatch gives you the other side of that line: output per person, cost of delivery, and what the next dollar of headcount actually buys.
- Velocity features updated on every attempt
- Device and session joins inside one view
- Exact replay of any decision for reviewers
Find the constraint before the quarter does.
See where work is stuck, where capacity is idle, and which part of the process is now the constraint. Weekly, not at quarter end when it is already priced in.
- Session features refreshed on every click
- Live availability per SKU and region
- Embeddings stored beside the rows they describe
Bring evidence the exec team already believes.
You will run this, and you did not pick the fight. Hatch gives you evidence the executive team already believes, so you stop defending a review cycle nobody trusted.
- Metrics, deploys and alerts joined by service
- Windows over the last five minutes, per region
- Actions gated by the same row policies
Questions founders and CFOs ask first.
Your dashboards measure what was already instrumented: tickets closed, deals booked, deploys shipped. They cannot see how the work got done, who unblocked it, where it stalled, or which part an agent now handles. Hatch reads the work itself and attributes it.
The same way it measures either one alone: by reading what actually moved through your systems. Hatch does not care whether a pull request, a draft or a resolved ticket came from a person or an agent. It records the work, attributes it, and shows you the combined picture plus the split.
Work signals come from systems your team already uses, aligned to the EU AI Act. Biometric data belongs to the individual alone and is never visible to a manager. Hatch surfaces patterns to leaders; it never rates, ranks publicly, or decides. Most teams' reaction to catching a struggling teammate 60 days early is not "Big Brother", it is "why didn't we see this sooner?"
SOC 2 Type II certified. Data is encrypted in transit and at rest, access is tightly controlled, and your organization retains ownership at all times. No customer data is ever used to train models.
Consumption pricing, so you pay for what the system reads rather than per seat. A 30-day deployment run by a named engineer is $2,500, credited in full against your first year. Full detail is on the pricing page, including an estimator.
Find out what you actually have.
Thirty days, one named engineer, and a readout of what your team and your agents actually produced. $2,500, credited in full against your first year.