Most platformsreport the week.Regentis runs it.
Regentis builds a continuously updated model of an engineering organization, uses it to measure and explain how engineering work is flowing, and then safely takes action across the engineering stack.
NO CARD · NO SALES CALL · $30/SEAT TO START · CANCEL ANYTIME
What is Regentis?
Regentis is an agentic engineering intelligence platform that both measures an engineering organization — delivery health, DORA metrics, developer experience, engineering spend — and does its routine work through AI agents: code review, task enrichment, APM and ITSM triage, status and financial reporting, and on-demand coding with verified, recorded results.
You bought visibility.
You got homework.
Flying blind… and it’s becoming a problem during budget conversations.Three dashboards, and still no answer the CFO accepts.
The status updates became the actual work.The reporting layer grew until it displaced the thing it reports on.
AI helps with coding — and almost nothing else in the week.The backlog moves faster. Review, triage, tickets, and reporting don’t.
Seven tools comment on the same PR.Each one right. None of them responsible. Everyone muting alerts.
Every one of those tools can tell you what’s wrong. None of them is on the hook to fix it.
Measurement was never the product. It’s the context.
A self-driving engineering organization is one where routine work — review, triage, enrichment, reporting — runs unattended on the organization’s own context; contributors summon help where they already work; and leadership reads health and spend from live data instead of collected status. Measurement and execution run as one system, on one memory.
Point tools each act in one lane. Measurement platforms see everything and touch nothing. Regentis is both halves of the loop.
Seven jobs your org staffs today. One ledger that runs them.
Compose automations from a curated library of agents — scheduled, or triggered by events from any integrated platform. Every agent runs on org memory. Every outcome lands in the tool where the work lives.
The point isn’t fewer vendors. It’s that these seven run on one shared context — instead of seven tools holding seven partial views of your org.
Forrester’s read on agentic development points the same way: coding-only AI produces local gains, but team-level productivity moves when AI covers the rest of the lifecycle.
Regentis doesn’t just write code. It proves it works.
Mention @regentis in a task comment, an ITSM ticket, or a PR thread. It takes the work into a dedicated sandbox with full build tooling — root-causes, builds the fix, runs the app, navigates the actual flow — and returns a pull request with the screen recording attached. Your review process stays the gate; what changes is what arrives to be reviewed.
- A QA engineer files the bug and hands it off in the same comment thread.
- A product manager ships a verified fix without pulling a developer off the roadmap.
- A developer types “@regentis, address the feedback” and reviews the diff once — instead of re-litigating the thread twice.
Proof that an AI-written fix works is an artifact, not a status: the build log, the navigated flow, and a screen recording of the app running that flow — attached to the pull request. Tests passing is not the standard. Watching it work is.
Yes, it measures. That part’s just no longer the whole product.
The score that adapts to how your teams actually work.
Regentis’s own adaptive framework: a 0–100 score across Velocity, Quality, Collaboration, and Efficiency, tiered Emerging → Healthy → Top Tier → Elite.
Non-prescriptive, on purpose: a team that doesn’t do PR review can still score Elite — if velocity and quality hold, CFH won’t punish you for working your way.
The four keys, computed — never hand-rolled.
Deployment frequency, lead time, change failure rate, and recovery time — computed continuously from pipeline and incident data, with consistent definitions across teams.
Hand-rolled DORA goes stale on arrival. This one can’t.
One question. One click. Thirteen categories.
Single-question pulses answered in one click from email, recurring or one-time, across 13 categories — participation, sentiment, and trends in DevEx Panorama.
Quarterly surveys die of fatigue. Single questions don’t.
Engineering spend, finally explained.
Spend classified from real commits, PRs, and tickets into investment categories — CapEx/OpEx splits and R&D-capitalization defensibility, with zero logging burden on engineers.
Timesheets lie. Custom fields decay. Work artifacts don’t.
System and team health.
Never the individual.
Regentis does not score individual developers — by policy, not by configuration.
Your engineers never log in. That’s the design.
One organizational knowledge space assembled from every platform you already run.
Everyone discovered across those platforms becomes a contributor. Contributors never log in — only admins and workspace users see dashboards.
Pick agents from the ledger, set schedules or event triggers, add the approvals you want.
Contributors mention @regentis in the ticket, the ITSM thread, or the PR — where they already work.
“In Regentis, contributors are the people whose work is analyzed and assisted — they never log in and never learn a new tool. Users are the admins who run the workspace. Rolling out Regentis means connecting integrations, not onboarding engineers.”
Autonomous, never unaccountable.
- Boundaries declared up front — every automation states what it may touch before it runs.
- Sandboxed execution — coding work runs in a dedicated, isolated environment with its own build tooling.
- PR-gated output — the agent’s work arrives as a pull request with evidence attached; your review process remains the gate.
- Approvals where you want them — automations run with the sign-offs you configure.
- No individual scoring — by policy. Measurement is system- and team-level only.
And a limitation, kept on purpose: if you want a leaderboard of developers, Regentis is the wrong tool.
Three kinds of tools. Each holds half the loop.
Columns are patterns, not logos — the enemy here is a habit, not a vendor. Representative names listed once, so you know exactly who we mean.
| Criterion | Measurement platformsDX · LinearB · Span · Jellyfish · Swarmia | Point automation toolsCodeRabbit · standup bots · ServiceNow AI | Coding agentsDevin · Cursor background agents | Regentisregentis.ai |
|---|---|---|---|---|
| Measures delivery, DevEx, and spend | ✓ | ✗ | ✗ | ✓ |
| Does routine ops work unattended (review, enrichment, triage, status, reporting) | Reports only | One lane each | ✗ | ✓ — seven-agent ledger |
| Executes coding work on demand from a comment | ✗ | ✗ | ✓ | ✓ |
| Attaches proof the fix works (recording of the navigated flow) | ✗ | ✗ | Tests, sometimes | ✓ |
| One shared org memory across code, tickets, incidents, docs | Analytics-side | ✗ | ✗ | ✓ |
| Triage + deflection over ITSM from engineering context | ✗ | Inside their own suite | ✗ | ✓ |
| Self-serve entry | Quote-only / 30-seat annual minimums / custom pricing | Usually ✓ | Varies | ✓ — $30/seat · 7-day no-card trial · no minimum |
If you need peer benchmarks or an analyst-validated incumbent today, buy DX or LinearB — honestly. If you want the system that scores the org to also staff its routine work, and to show receipts for every action, that’s Regentis.
Priced to try without a meeting.
- AI credits pooled per seat
- AI Automation
- Unlimited integrations
- 3 months data history
- 3× AI credits
- Code Flow Health
- DORA + DevEx surveys
- Financial Intelligence
- 20× AI credits
- Dedicated support channel
- Everything in Growth
- Self-hosted deployment
- MCP & API access
- SAML/SSO · enterprise SLA
7-day free trial on Starter and Growth — no card. Annual billing = two months free. Seats cover both contributors (people whose work is analyzed) and workspace users (dashboard access). No seat minimums. No annual lock-in. No sales call required.
Questions buyers actually ask
Still wondering something? Email us and we’ll respond promptly.
Is Regentis the same company as Regentis Biomaterials? ＋
No. Regentis (regentis.ai) is an agentic engineering intelligence platform for software organizations — it measures delivery and runs routine engineering work with AI agents. Regentis Biomaterials (NYSE American: RGNT) is an unrelated regenerative-medicine company.
How much does Regentis cost per seat? ＋
$30 (Starter), $90 (Growth), or $300 (Scale) per seat per month; Enterprise is custom. Seats cover both contributors — the people whose work is analyzed — and workspace users with dashboard access. There’s a 7-day free trial with no card; when it ends, pick a plan to keep going — your data, history, and integrations are preserved.
Can an AI agent be trusted with write access to our repositories? ＋
Regentis’s agent works in an isolated sandbox and delivers its output as a pull request with evidence attached — it doesn’t push to your branches, and your review process remains the gate. Everything it did is in the pull request for you to see, and automations run with the approvals you configure. Formal security documentation is in progress.
Do engineers have to log in to Regentis? ＋
No. Contributors — the engineers, QA, and PMs whose work is analyzed and assisted — never log in and never learn a new tool. Only admins and workspace users have dashboard access.
What engineering work can Regentis automate besides writing code? ＋
Seven agents today: code review, task enrichment, APM triage, ITSM triage & deflection, status reporting, project reporting, and financial reporting. The catalog is open-ended, and coding is one agent among many — not the product.
What counts as proof that an AI-written fix works? ＋
An artifact, not a status: the build log, the navigated flow, and a screen recording of the app running that flow — attached to the pull request. Tests passing alone isn’t the standard.
Should we build our own engineering AI agents instead? ＋
Building works at first — plenty of teams run hand-rolled ticket-enrichment and review skills today. What breaks at scale is everything around the skill: context that drifts, and nobody owning it when its author leaves. Regentis is that catalog, productized — with org memory and approvals built in.
Can we try it without talking to sales? ＋
Yes. The trial is self-serve: 7 days, no card, no seat minimum. If you want a walkthrough anyway, a demo exists at cal.com/regentis/demo — it’s optional, not a gate.
Automate the chaos,
then forget it.
One platform that scores the org, runs the routine work, and attaches proof. Connect your stack and watch the first automation run this week.