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Regentis Engineering Intelligence review

#26 of 48 in DevOps Analytics Software

AI-assisted visibility across delivery flow, developer experience, risk, and spend.

6.7/10Editor score
Regentis Engineering Intelligence6.7 Visit Regentis

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Regentis Engineering Intelligence is a measurement layer for engineering organizations. It connects code, pipelines, tickets, and incident data to analyze delivery flow, Code Flow Health, developer experience, and DORA metrics. Engineering leaders and teams can also use AI automations, risk insights, investment reporting, and an agent that works across tickets, pull requests, Slack, and Microsoft Teams. The product is designed for small, mid-market, and enterprise organizations seeking system-level visibility without scoring individual developers.

Pricing is structured across four tiers. Starter costs $30 per seat per month and includes pooled AI credits, AI Automation, unlimited integrations, and 3 months of data history. Growth costs $90 per seat per month and adds 3× AI credits, Code Flow Health, DORA Metrics, developer-experience surveys, and Financial Intelligence. Scale costs $300 per seat per month, adds 20× AI credits and a dedicated support channel, and includes everything in Growth. Enterprise adds self-hosted deployment, MCP and API access, SAML integrations, enterprise-level SLA support, and consultancy services, with custom pricing. A 7-day trial is available, but there is no free plan.

The product’s main distinction is its breadth across engineering operations: adaptive delivery-flow analytics, continuously computed DORA metrics, always-on surveys, proactive team-status and risk insights, and engineering investment allocation. Integrations include GitHub, GitLab, Jira, Linear, ServiceNow, Datadog, CI/CD, Slack, Microsoft Teams, Confluence, Notion, Cursor, and Anthropic. Choose Regentis when engineering intelligence must connect delivery, reliability, developer experience, AI activity, and financial reporting. Teams seeking a simpler or more general analytics tool may prefer a narrower product.

Regentis Engineering Intelligence pros and cons

  • Where it wins
    • Combines DORA, flow, developer-experience, and financial reporting
    • AI automations can respond to schedules and stack events
    • Supports cloud and self-hosted deployment with broad integrations
  • Where it doesn't
    • No free plan; the trial lasts 7 days
    • Starter includes only 3 months of data history
    • Enterprise pricing is custom and advanced features cost more

Regentis Engineering Intelligence fact sheet, pricing and score →

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