Regentis: Engineering intelligence that does the work

How it works

Regentis works in multi-dimensions: it collects engineering data in depth, helps your team act on it, and turns it into decisions for your leaders — all from one foundation. A flat dashboard can’t do that.

Execution · across the team

AI that acts where your team works

Because Regentis already understands the situation, your team can hand it the work — right where they already are. Mention @regentis in a PR, a ticket, or an incident and it picks up the full context and does the task.

@regentis triages tickets, investigates incidents, summarizes PRs, and implements what a task describes
Control Plane brings PRs, tasks, CI/CD, and incidents into one place — delegate any of it to AI
Daily Pulse gives the team a shared, real-time view of where work is stuck, so blockers surface early

Pull RequestsTicketsAPM incidentsITSM incidents

Snub cube illustration representing Regentis analyzin engineering signlas from SCM, task, CI/CD and ITSM tools

Depth · the data space

Data built for engineering

Most platforms log activity — commits, PRs, hours in a ticket. Regentis collects engineering signals across all your tools and models them the way an engineer would read them: not counts, but context. How work actually moves, what’s blocking it, and what it costs. This is the foundation everything else stands on — and the part competitors can’t copy.

Unifies signals from PRs, tasks, CI/CD, APM incidents, ITSM incidents, and DevEx surveys
Models engineering context, not vanity activity counts
The single source of truth behind every action and decision

SCMTaskCI/CDAPM / ITSM

Regentis dashboard showing the unified engineering data workflow

Decisions · for leaders

Direction your leaders can trust

The same context rises to leadership as decisions: where teams and the organization are heading, what to fix, what’s working and worth protecting, and whether the money is well spent.

Code Flow Health — our proprietary SDLC model that finds the real bottleneck without forcing one “right” way to build, and without metrics teams can game
DORA metrics with AI interpretation — not just what changed, but where inefficiency crept in and why
DevEx Surveys & Panorama — developer experience rolled up across teams, departments, and the whole org
Financial Intelligence — realistic effort classification showing where engineering spend actually goes

Code Flow HealthDORADevExFinancial Intelligence

Financial Intelligence

DevEx Panorama

DORA Metrics

Code Flow Health

Our stance

Built for team health — not individual surveillance

Most engineering-intelligence platforms quietly rank your developers. That creates more problems than it solves: it breeds distrust, gets gamed, and turns a tool the team should want into one they resent. Regentis takes the opposite stance, on purpose. We measure the health of the system and the team — how work flows, where it’s blocked, how people experience it. We do not produce individual performance scorecards, and we never will. The goal is a team that delivers better together, not a leaderboard.

Control

You stay in control

“AI does the work” only matters if you can trust it. Regentis is built so you can.

Transparent reasoning

Every action shows its work and the signals behind it.

You approve what matters

Regentis proposes and executes inside clear, human-in-the-loop boundaries.

Outcome-oriented

Measured against delivery results, not activity counts.

No individual tracking

By design, all the way down.

Engineering intelligence that does the work.

Summary

Linked context