Founder-led beta·Limited slots

Review release risk with Dulvarn before production

Join a small beta for QA and engineering teams that want clearer release decisions, better test scope recommendations and fewer production surprises.

We work directly with early teams to review their PR-to-release workflow, test scope decisions and GO / CONDITIONAL GO / NO-GO process.

Limited beta slots Human-reviewed decisions Built for QA & engineering No fake AI autopilot
Founder-led beta workflow
v.beta
  1. 01Apply for beta
  2. 02Share release workflow context
  3. 03Review one PR/release scenario
  4. 04Get risk + test scope feedback
  5. 05Shape Dulvarn roadmap
Limited slotsWorkflow reviewEarly accessFounder-led onboarding

Designed for teams that want to improve release confidence before production.

Founder-led beta · workflow review · practical feedback

Who it is for

Who the beta is for

The beta is best for teams that ship regularly and want a clearer way to evaluate release risk before merging or deploying.

Role 01

QA Leads

You need better release sign-off evidence and clearer regression scope.

Role 02

Release Managers

You need a repeatable GO / CONDITIONAL GO / NO-GO process.

Role 03

Tech Leads

You need visibility into risky PRs and CI/test blind spots.

Role 04

Engineering Managers

You want fewer production surprises and better release accountability.

Role 05

SaaS Founders

You ship fast but need a practical release safety workflow.

Role 06

QA Automation Engineers

You want test impact and regression scope decisions to be less manual.

Beta includes

What beta includes

Early access

Get access to the Dulvarn release decision workflow before public launch.

Workflow review

We review how your team currently moves from PR to release approval.

PR/release risk demo

We walk through a realistic or real release scenario with risk and test scope discussion.

Test scope feedback

Get practical feedback on Smoke / Partial NRT / Full NRT decision points.

Founder-led onboarding

Direct onboarding and feedback sessions with the product founder.

Early pricing advantage

Beta participants get early pricing consideration when paid plans launch.

Validation

What we are testing in beta

The goal is not to pretend Dulvarn is a finished enterprise platform. The goal is to validate the release decision workflow with real QA and engineering teams.

  • Can teams understand the GO / CONDITIONAL GO / NO-GO output quickly?
  • Does the risk explanation match how QA and engineering teams think?
  • Are Smoke / Partial NRT / Full NRT recommendations useful?
  • Which signals matter most before a release?
  • Where do teams need human override and audit trail?
  • What should Dulvarn integrate with first?

Beta feedback directly shapes the product roadmap.

Process

How the beta process works

A short, focused process — designed to be practical for busy teams, not heavy consulting.

  1. 01

    Request access

    Tell us about your team, release process and current QA/release challenges.

  2. 02

    Short fit check

    We confirm whether Dulvarn beta is a good fit for your workflow.

  3. 03

    Workflow review

    We review your PR-to-release process, test scope decisions and risk signals.

  4. 04

    Demo or guided analysis

    We walk through a release decision example using Dulvarn’s workflow.

  5. 05

    Feedback session

    You share what is useful, unclear or missing.

  6. 06

    Next step

    If there is fit, we continue with beta access, audit or future SaaS onboarding.

Example scenario

Example beta review scenario

Dulvarn helps turn scattered PR, CI and QA signals into one reviewable release decision.

Team context

A SaaS team ships weekly from GitHub PRs. CI is usually green, but QA still struggles to decide when Smoke is enough and when Partial NRT is required.

Current pain
  • regression scope guessed manually
  • no clear test impact mapping
  • risky checkout/auth/payment changes are reviewed inconsistently
  • release approval happens across Slack and GitHub comments
Dulvarn beta review
Conditional Go
Changed areas
checkout, cart, auth, payment cfg
CI state
passing
Detected concern
missing impacted tests
Recommended scope
Partial NRT
Decision
CONDITIONAL GO
Human status
QA review required

Representative example. Real beta reviews use your team’s actual PR or workflow context.

Your part

What we need from beta participants

Lightweight, not heavy consulting. We respect your team’s time.

Needed

Honest feedback

Tell us what is useful, confusing or missing.

Needed

Real workflow context

Share how your team currently reviews PRs, tests and release decisions.

Needed

One review call

Join a short feedback session after the beta review.

Needed

Practical constraints

Tell us what would prevent adoption in a real team.

Needed

Optional sample scenario

Share a representative PR or release workflow if possible.

Request access

Request beta access

Tell us a little about your team and release workflow. We will reply if there is a strong beta fit.

  • Reviewed manually by the founder
  • No marketing list, no spam
  • Honest reply about fit either way

Prefer email? Reach out at hello@dulvarn.com.

FAQ

Beta questions

Is Dulvarn fully launched?

No. Dulvarn is currently in founder-led beta. The goal is to validate the release decision workflow with early QA and engineering teams.

Is this free?

Beta access may be free or discounted depending on fit and scope. Release Risk Audit is a separate paid service.

Do we need to connect our real repository?

Not always. A demo or representative PR scenario is enough for an initial review.

Does AI make release decisions?

No. Dulvarn explains risk and recommends a decision state. Humans make the final release decision.

Who is the best fit?

Teams that release regularly, use GitHub/CI and struggle with regression scope or release risk visibility.

Can this lead to paid SaaS access?

Yes. Strong beta fits may continue into early paid access when the SaaS plan is ready.

Founder-led beta

Want to test Dulvarn on your release workflow?

Join the beta if your team wants clearer release risk, better test scope decisions and a human-reviewed GO / CONDITIONAL GO / NO-GO process.

  • release workflow review
  • PR/release scenario
  • test scope recommendation
  • feedback session
  • early pricing advantage