Know the health of
every release, instantly
Engineering Intelligence correlates your entire delivery stack — planning, source control, deployments, observability, support, and product analytics — into a single release health score, so you can ship with confidence and catch issues before customers do.
The problem with shipping today
Engineering teams are flying blind. Critical data lives in silos across disconnected tools.
Escaped defects go unnoticed
Bugs slip into production because there's no correlation between Jira bugs, runtime errors, and support tickets. Teams discover issues from customer complaints, not dashboards.
No release-level visibility
Managers ask "how's the release going?" and engineers spend hours pulling data from 4 different tools to construct an answer. There's no single source of truth.
Quality isn't measured over time
Without historical baselines, you can't tell if releases are getting better or worse. DORA metrics are calculated manually in spreadsheets — if they're tracked at all.
One platform, complete visibility
Engineering Intelligence automatically correlates data from your entire delivery pipeline into actionable release intelligence.
Connect your tools in minutes
Choose from 30 native integrations across planning, delivery, observability, support, analytics, and code quality. Connect securely and start syncing in minutes.
Releases are auto-discovered
Discover releases and deployments from GitLab, GitHub, Azure DevOps, and Octopus Deploy, then correlate every production and customer signal automatically.
Health scores update in real-time
A configurable scoring engine weighs defects, incidents, stability, and customer impact to produce a single number everyone understands.
Historical snapshots tell the full story
Compare any two releases with equivalent observation windows. Track DORA metrics, escaped defects, and customer impact over time.
2
Defects
5
Incidents
99.2%
Crash-Free
23
Tickets
Ship better software, faster
Teams using Engineering Intelligence catch issues earlier, communicate status effortlessly, and improve release quality continuously.
Catch issues in minutes, not days
Automated alerts when health scores drop, incidents spike, or SLAs breach. Know about problems before your customers do.
DORA metrics on autopilot
Deployment frequency, lead time, change failure rate, and mean time to restore — calculated automatically from your actual delivery data. No spreadsheets needed.
One dashboard for the whole team
Executives see health scores and trends. Engineers see MRs, pipelines, and incidents. Everyone speaks the same language about release quality.
Historical comparison
Compare releases side by side with equivalent observation windows. Finally answer "are we getting better or worse?" with data.
Immutable snapshots
Historical data never changes when source systems update. Your release reports remain accurate and auditable forever.
Cross-correlation
Trace the chain: Release → Code changes → Deployments → Runtime incidents → Support tickets → Hotfixes. Understand cause and effect.
Every angle of your delivery pipeline
Purpose-built dashboards for every role and concern — from executive health scores to individual ticket timelines.
Executive Dashboard
Release health scores, critical defects, runtime incidents, and support ticket volume at a glance. One number that tells you if the ship is steady.
Engineering Dashboard
DORA metrics, code activity, merge requests, deployments, CI/CD usage, and incident KPIs. All four DORA metrics calculated automatically with performance-level benchmarks.
Sprint Dashboard
Burn-up charts, velocity trends, stuck tickets, scope creep tracking, and sprint completion predictions. Toggle between story points and ticket counts.
Code Quality
SonarQube and SonarCloud metrics — reliability, security, and maintainability ratings, test coverage and lines of code trends, technical debt, and quality gate status.
Testing Dashboard
CI test pass rates, test suite growth, SonarQube coverage trends, individual test case results, and recent run history across GitLab, GitHub, and SonarQube.
Development Time
End-to-end ticket lifecycle from creation to production. Bell curve distribution, phase breakdown (waiting, development, testing, release), and full traceability from Jira through GitLab.
Releases
Release history with health scores, hotfix and rollback tracking, crash-free rates, and detailed release timelines showing every event from merge to deploy.
Team Coaching
Team-level coaching insights covering ticket quality, MR rejection rates, escaped defects, lead time, deployment reliability, test coverage, sprint completion, and incident frequency.
Skills Matrix
Per-developer skill profiles built automatically from real commit and merge request activity — proficiency by technology, growth trends over time, and personalised suggestions for projects and teammates to pair with.
AI Insights
Every dashboard includes an AI-generated observational summary highlighting what stands out in the data — no recommendations, just clear signal on the current state of your engineering organisation.
Connects to your stack
Thirty native integrations spanning the full software-delivery lifecycle. Connect in minutes and turn fragmented tool data into one view of release health.
Plan & manage
Jira
Available nowIssues, defects, versions, components, and priorities
YouTrack
Available nowIssues, custom workflows, and project tracking
ClickUp
Available nowTasks, lists, and backlog tracking
Monday.com
Available nowBoards, items, and workflow tracking
Aha!
Available nowRoadmaps, features, and backlog items
Linear
Available nowIssues, cycles, and engineering workflow
Asana
Available nowTasks, assignees, and project tracking
Source & delivery
GitLab
Available nowReleases, merge requests, commits, pipelines, and deployments
GitHub
Available nowReleases, pull requests, commits, and workflows
Azure DevOps
Available nowWork items, repositories, pipelines, and builds
Octopus Deploy
Available nowReleases, deployments, environments, and outcomes
Support & product analytics
Freshdesk
Available nowTickets, SLAs, response times, and customer impact
Zendesk
Available nowSupport tickets, priority, and SLA impact
Intercom
Available nowCustomer conversations and support load
Google Analytics
Available nowUsers, sessions, engagement, key events, and revenue
Reliability & observability
Bugsnag
Available nowErrors, regressions, stability, and crash-free sessions
Sentry
Available nowError tracking, regressions, and issue severity
Datadog
Available nowInfrastructure and application incidents
New Relic
Available nowAlert incidents and application health
PagerDuty
Available nowOn-call incidents and urgency tracking
Statuspage
Available nowPublic incident and outage history
UptimeRobot
Available nowMonitor downtime and outage duration
Pingdom
Available nowUptime checks and outage summaries
Azure Log Analytics
Available nowKQL exception aggregates, frequency, and affected users
Azure Application Insights
Available nowApplication exceptions, severity, and affected users
Amazon CloudWatch
Available nowMetric, composite, and log alarm state
Splunk
Available nowSearch-driven production error aggregates
Elasticsearch / ELK
Available nowError documents across Elasticsearch indices
Code quality
SonarCloud
Available nowCloud code quality issues and vulnerabilities
SonarQube
Available nowSelf-hosted code quality and security analysis
Beyond dashboards — real signal on team health
Engineering Intelligence doesn't just aggregate metrics — it uses them to tell you what to work on next.
AI-scored Ticket Quality
A local LLM checks every backlog ticket against your own definition of "ready to work" — summary, acceptance criteria, whatever your team requires — and scores the gap so refinement issues surface before sprint planning.
Team-level coaching insights
Growth-oriented signals, not blame — backlog hygiene, review rigor, and escaped-defect rate rolled up per team, with concrete suggested focus areas for your next retro.
Individual skills matrix
A proficiency profile per developer, generated from what they've actually shipped — not a self-assessment. Technology trends over time, plus suggested projects and teammates to accelerate growth.
Maturity Rating vs. the platform
See your organisation's health score graded against the rolling average across every customer on the platform, with a full historical trend — not just a snapshot.
Agentic AI Code Analysis
We analyse code to determine skills and development within your team. The aim is to help your team upskill — not to police it.
Reads the diffs, not just the commit count
An AI agent inspects the actual code changes behind every commit and merge request to detect languages, frameworks, and patterns used — not just who touched a file.
Proficiency, tracked over time
Every developer gets a per-technology proficiency score that evolves as they work, so growth is visible instead of assumed — turning activity into an honest skills record.
Concrete next steps to upskill
Suggested projects that stretch a developer's existing strengths, and suggested teammates who already have the skill they're building — turning analysis into an actual growth plan.
Run it your way
Get started instantly on our hosted platform, or bring it inside your own perimeter with self-hosting on the Enterprise plan.
Hosted (recommended)
We run and manage Engineering Intelligence for you — no infrastructure, no upgrades, no maintenance. Available on every plan, including the free trial.
- ✓ Live in minutes — no deployment required
- ✓ Automatic updates and security patches
- ✓ Managed backups and uptime SLA
Self-hosted Enterprise plan
Deploy Engineering Intelligence inside your own cloud or on-premises environment when data residency, compliance, or network isolation require it.
- ✓ Your data never leaves your infrastructure
- ✓ Meets internal compliance and network policies
- ✓ Dedicated onboarding and deployment support
Your data stays yours
Every organisation gets its own dedicated data environment. Our AI runs on models we operate ourselves — not public third-party APIs — and nothing you send it is ever used to train anything.
Dedicated environment
All data we process is held in your own dedicated environment — never pooled with other organisations' data, on the hosted plan or self-hosted.
Our own dedicated AI instances
The AI/LLM models behind ticket scoring, skills analysis, and AI insights run on instances dedicated to our platform — not public models, and not shared with any other vendor or company outside it.
Never used for LLM training
None of your code, tickets, or engineering data is ever used to train or fine-tune any AI model — yours or anyone else's.
Simple, transparent pricing
Start with a 14-day free trial. No credit card required. Scale as your team grows.
Single Developer
For solo engineers tracking their own delivery health
- ✓ 1 developer
- ✓ 1 active integration
- ✓ All dashboards and reports
- ✓ DORA metrics
- ✓ Release health scoring
- ✓ 14-day free trial
Team
For engineering teams shipping together
Minimum 10 developers ($19.90/mo)
- ✓ 10+ developers
- ✓ Up to 5 active integrations
- ✓ All dashboards and reports
- ✓ DORA metrics & coaching
- ✓ Team performance insights
- ✓ Sprint analytics
- ✓ Goal tracking
- ✓ 14-day free trial
Enterprise
For organisations that need scale, compliance, and support
- ✓ Unlimited developers
- ✓ Unlimited integrations
- ✓ Everything in Team, plus:
- ✓ Self-hosted deployment option
- ✓ SSO & SAML authentication
- ✓ Audit logs & compliance
- ✓ Dedicated support & onboarding
- ✓ Custom SLA
Ready to see your release health?
Connect your tools, discover your releases, and get your first health score in under 5 minutes.
Get Started FreeNo credit card required for your 14-day trial.