GO
The required evidence is complete and no release-blocking condition was detected.
Release decision control
Know whether your software release should go live.
Dulvarn evaluates test results, defects, code changes, approvals and operational readiness, then provides an explainable GO, CONDITIONAL GO or NO-GO recommendation before production.
Your team remains in control. Dulvarn makes blockers, missing evidence and required actions visible before the release decision is made.
Human-controlledExplainable recommendationsNo repository connection required
Interested in early access? Request beta access.
Tests
Defects
Changes
Approvals
Rollback
Dulvarn evaluates the complete release context
GO
CONDITIONAL GO
NO-GO
Reasons and required actions
One release, many signals
One release. Many signals. One clear recommendation.
Tests
Defects
Code changes
QA approval
Security checks
Monitoring
Rollback readiness
DulvarnRelease decision layer
GO
CONDITIONAL GO
NO-GO
Engineering tools show individual signals. Dulvarn evaluates them together in the context of one release.
Illustrative demo scenario
See what a release decision looks like
Checkout and payment update before a marketing campaign
Decision
NO-GO
This release should not be deployed yet.
Evidence highlights
- CI pipeline failed
- Failed tests in critical area
- Significant coverage drop
- Critical blocking defect
Recommended actions
- Resolve the critical blocking defect before release.
- Verify the security result before release.
- Fix the failing CI pipeline and re-run the build.
- Re-run and fix the failed checkout/payment tests.
This is a demo scenario. No customer data is shown.
Open the full interactive scenarioThe problem
A green pipeline is not the same as a release decision.
Before production, teams often check different systems:
- tests in CI
- defects in Jira
- code changes in GitHub
- approvals in Slack or Teams
- rollback and monitoring information elsewhere
Manual
The final call relies on someone remembering every detail across systems.
Fragmented
Evidence lives in different tools with no single release context.
Hard to explain later
The reasoning behind a GO or NO-GO is rarely written down.
Dependent on a checklist
Consistency varies with who is on call and how much time they have.
Dulvarn creates one release context before the team makes the final call.
How it works
From release evidence to a clear decision
Step 01
Bring together release evidence
Tests, defects, changes, approvals and operational readiness.
Step 02
Evaluate blockers and required checks
Dulvarn applies release rules and identifies missing or conflicting evidence.
Step 03
Review an explainable recommendation
The team receives GO, CONDITIONAL GO, NO-GO or INSUFFICIENT DATA with reasons and actions.
Decision states
What GO, CONDITIONAL GO and NO-GO mean
CONDITIONAL GO
The release may proceed only after specific checks or actions are completed.
NO-GO
A blocking condition should be resolved before the release proceeds.
INSUFFICIENT DATA
There is not enough reliable evidence to produce a meaningful recommendation.
Comparison
Dulvarn does not replace your engineering tools.
- CI platforms
Run builds and automated checks.
- Issue trackers
Record defects and delivery work.
- Source-control platforms
Show changes, reviews and merge status.
- Monitoring platforms
Show production health.
- Dulvarn
Combines the relevant evidence into one explainable release recommendation.
Your tools provide signals. Dulvarn provides the release decision layer.
- Not a test runner, CI/CD replacement or issue tracker.
- Not an autonomous deployment authority.
- Designed to work with release evidence from engineering tools.
Value
A clearer release decision for every role
For QA and release teams
- Clear blockers before sign-off
- Missing evidence surfaced automatically
- Required validation visible to the whole team
- Less manual status assembly
For engineering managers
- One consistent release view across tools
- Visible ownership and actions
- More repeatable release decisions
For technical leadership
- Understandable rationale behind each recommendation
- Reviewable decisions over time
- Clearer accountability
Human control
Dulvarn recommends. Your team decides.
- Recommendations are based on available evidence.
- Reasons and evaluated rules are visible.
- Missing evidence is called out explicitly.
- The team retains final authority.
- Overrides remain explicit and reviewable.
Public sandbox vs. full product
The public sandbox uses demo or manually entered data. No real repository or CI connection is required. The full product direction connects release evidence from engineering workflows and keeps explainable decisions and decision history.
Interactive demo
Try GO, CONDITIONAL GO and NO-GO yourself.
Open prepared scenarios, change the evidence and watch the recommendation update through the real deterministic decision engine.
No account or repository connection is required for the public demo.
Beta, audit & pilot
Continue to a beta, pilot or release-process review.
Ready to map Dulvarn to your release workflow? Book a founder-led review or request early beta access.
No guaranteed integration, immediate deployment or automatic release blocking is promised.
- Human-reviewed release process audit
- Clear GO / CONDITIONAL GO / NO-GO workflow mapping
- Actionable improvement plan for your team
About Dulvarn
Company information
Dulvarn is a founder-led startup building release risk intelligence for modern software teams.
Dulvarn helps QA, engineering and SaaS teams understand whether a release is safe to ship. It combines pull requests, CI signals, QA context, changed areas and test impact into clear GO, CONDITIONAL GO or NO-GO release decisions before production.
- Founder
- Ján Ďuriš
- Contact
- founder@dulvarn.com
- Location
- Zlín, Czechia
- Stage
- Founder-led beta / early product
- Category
- AI-assisted DevTools, QA, Release Management, B2B SaaS
- Product
- GitHub-first release risk intelligence platform