Works in Slack or Microsoft Teams, set up together with you in the first session.

An AI clone of one engineer, embedded in a real engineering organization at A.Team.
Instachat is built by the same clone and its fleet: the same stack we would run on your backlog.
You pick the one that hurts most. All three run behind the same gate, under standing rules your team wrote.
The PM agent joins Google Meet calls as a guest and posts the recap from the captions in your Slack or Teams chat. In Teams, it works from recordings and transcripts you share with it that the account can view.
It correlates logs and metrics, attaches a diagnosis to the alert, and proposes the fix or the rollback under the gate.
It gathers the merged work, tests it, cuts the release with the notes written, and keeps the rollback ready.
With Custom, your AI clone’s fleet is enrolled onto computers your company owns and runs there.
Agents, keys and repositories stay on machines you control. Model calls go to cloud inference providers; your contract names which ones.
Credentials are issued per repository, and every key has a named revoke path.
Every update is signed and notarized, and your team decides when it is installed.

Access to the channels and repos your engineer works in, and a machine to enroll the fleet on. That is all we need to start.
Read-only. One repo, one channel, one measurable lane. It learns before it says a word.
Works under the gate: reviews, alert triage, routine PRs. Your engineers correct it in the thread, and every correction becomes a permanent rule.
Only on the classes you trust, once the lane has earned it. Nothing merges or deploys until then. And it is calibrated every week by the human it is cloned from.
Team includes 5x usage; Pro includes 25x.
5x usage
Usage shared across your workspace.
7 days free · Card required · EUR 49/month after trial, excluding VAT. Cancel anytime during the trial.
Start free trial25x usage
Five times the usage of Team, shared across your workspace.
7 days free · Card required · EUR 179/month after trial, excluding VAT. Cancel anytime during the trial.
Start free trialCustom limits, scaled agents and output. Pricing agreed with you once work is underway.
Usage is metered per task through the agents API. A task can take roughly 100k to 10M+ tokens; plans do not promise a fixed token or task count.
Agentify runs within your configured permissions.
In Teams the agent works through a named team member’s own Teams account (member or guest) via the browser, with that person’s and the company’s agreement. It reads and replies in the chats that account has access to, and every outbound message passes an approval gate you control. No Teams app, bot registration or admin install is needed.
Not without a human behind it. Anything sensitive or irreversible waits for the human, and the floors of money, contracts, credentials and identity are always a person’s call, never the clone’s.
With Custom, on machines your company owns. The fleet is enrolled onto your hardware with least-privilege credentials, and every key has a named revoke path.
For Team or Pro, start your 7-day free trial. Works in Slack or Microsoft Teams, set up together with you in the first session. For Custom, we need access to your engineer’s channels and repos, and a machine to enroll the fleet on.

Tell us about your team. We’ll show you what an AI clone can carry in the first week, gate and all.
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