A forward deployed engineer embeds with your team, reads your system, and works to your standards. Corporate AI 365 does that on every project you run — taking the request, diagnosing it against your own code, managing the work, and carrying it through your approval gates to release.
No credit card · Your code is never hosted here · No path to a live database
Every change your business asks for — understood, built, governed and proved. Then the loop comes round, and the next one starts from a system that already knows what just shipped.
Connect in a click. Every connector sits behind one interface, so diagnosis, the fix pipeline and promotion behave identically whichever you run — and adding the next one changes nothing about how you work.
Cloud and Enterprise Server
SaaS and self-managed
Cloud workspaces
Organisations and projects
New connectors appear here
Database structure comes in the same way — a schema export you run yourself. No connection string, ever.
The person reporting a problem, the developer fixing it, the tester verifying it and the manager answering for it need different things. Each gets their own screen — and only what their permissions actually open.
No ticket taxonomy, no severity matrix, no asking a colleague which team owns what. Someone in finance describes what went wrong in their own words and the system classifies and routes it. They can see where it got to without chasing anyone.
The queue arrives already diagnosed: the file, the class, the line, and a proposed change taken verbatim from your repository. The developer's job becomes judging a fix rather than hunting for a cause — and the branch and pull request are opened for them.
QA works through issues, not commits. Each one arrives with what was reported, who fixed it, which environment it is sitting in, and whether the build passed — read back from your own CI rather than asserted by us. Pass sends it for approval; fail returns it to development with the reason attached to the issue.
Today a manager approves a word. Here they approve a diff — what will actually move, in which repositories, into which environment. Everything below it is visible too: what is open, what is late, and how the team is performing on real delivery data rather than on recollection.
From the moment someone reports a problem to the moment it reaches production — with a record of who decided what.
Reasons over your ingested code and database objects to pinpoint the exact location, with a confidence score and a suggested fix.
Developer → QA → approval → production. Every gate is a permission, every transition an audit record.
Dev, staging and production as real branches. Promote between them, see the payload first, and undo a whole release as one pull request.
Compare developers, departments or employees on real delivery data, with an AI umpire verdict.
Connect a repository and Corporate AI 365 ingests the source and your scripted database objects. It never connects to a live database. When live data is genuinely needed, the AI writes a read-only query for your own developer to run.
Most tools assume your company looks like the one they were built for. This one is opinionated about how work flows and configurable about who does it. Build your own roles, model your own hierarchy, and invite staff, contractors or clients — each classified so you always know who is internal.
Every person, team and department, scored on what they actually delivered.
Integrations is the bottleneck. Same issue count as Platform, 2.4× longer to close, and 4 of 9 fixes came back from QA. The time is lost waiting for handover, not in development.
Every account begins on a fourteen-day trial with the full product. No card, no sales call.
14 days · no card, no sales call
$198 a month, billed quarterly · excl. tax
$598 a month, billed quarterly · excl. tax
Prices are exclusive of tax. Applicable VAT or GST is added at checkout based on your billing country. Billing is handled by our payment provider as merchant of record.
No, and there is no code path that could. Corporate AI 365 reasons over source code and scripted database objects only. If live data is genuinely needed to diagnose something, the AI writes a read-only query for your own developer to run.
No. It opens branches and pull requests, and production is only ever reached by a merge that your own approver authorises. Your branch protection, reviews and CI still apply — the product fits into your governance rather than bypassing it.
Your company domain is how we group your team, let colleagues join, and tell staff apart from external guests. That does not work on a personal mailbox — so trials start from a work address.
Your account becomes read-only — nothing is deleted and you keep access to everything you created. Pick a plan whenever you are ready and it unlocks immediately.
Not for the trial — AI is included. On paid plans you can use the platform quota or bring your own key, whichever suits your procurement.
Connect a repository, report one real issue, and judge it by whether the answer points at the right line.