Founder-led AI Quality Engineering Engagements

TestNeo Labs

Forward Deployed Engineering for AI-native quality and release confidence.

We embed with your team to ship a working quality and release slice in your repo and CI — then leave your engineers owning it. Not a services company. Not QA outsourcing. Not AI consulting. Implementation from the product team building TestNeo.

Founding cohort · Your repo & CI · Platform optional · Path to TestNeo when ready

AI has fundamentally changed how engineering teams build software.

Developers are adopting AI coding tools faster than quality and release practices can evolve.

The teams that modernize their quality systems today will ship faster, safer, and with greater engineering leverage tomorrow.

TestNeo Labs exists to help engineering teams make that transition with measurable outcomes — and a clear path onto the TestNeo platform.

Product teams that need a scoped win — not a services relationship

Labs is for organizations ready to put a critical release path in CI with judgment from the people shipping TestNeo.

Ideal fit

  • Startup & mid-market product engineering teams
  • CTOs / Eng Managers owning release risk
  • Teams adopting AI in the SDLC without release confidence
  • Groups ready to prove one critical path in a 2-week sprint

Outcomes you buy

  • Working verification + CI hooks you own
  • Pass / warn / block on an agreed path
  • Playbooks your team can run
  • Clear residual roadmap + platform next step

Not a fit

  • QA body-shop or long-term staffing
  • Slide-deck strategy without implementation
  • Unlimited multi-repo “transformations”
  • Anonymous offshore delivery expectations

AI changed how software is written. Quality systems haven’t caught up.

Teams generate code and tests faster than they can trust releases. Labs closes that gap in your stack — with measurable outcomes, not more tooling noise.

Green CI, low confidence

Pipelines pass, but nobody trusts the ship decision. Signals are noisy, ownership is unclear, evidence is thin.

Automation that can’t keep pace

Brittle coverage slows every release. AI generates more cases; maintenance debt grows faster.

AI without an operating model

Agents sit in the IDE, but release governance and triage still run on tribal knowledge.

Change without impact clarity

Every PR reshapes risk, yet teams still run blind regression instead of change-aware verification.

QA and engineering out of sync

Developers move with AI; quality sits downstream. Release readiness never becomes a shared system.

Tools without outcomes

Another AI testing purchase doesn’t fix ownership or gates. Operating design in the repo does.

A modern quality system — shipped in your stack

We redesign quality as an engineering capability: verification, release gates, and evidence — implemented where you already ship, not as slide decks.

Build

Intelligent verification

NLP web & API coverage, Playwright modernization, and change-aware checks wired into developer workflow.

Govern

Release operating model

Pass / warn / block gates, triage playbooks, and ownership so green builds mean something again.

Decide

Release intelligence

Risk signals and readiness evidence on the pull request — not gut feel.

Handoff

Your team owns it

Standards, enablement, and docs so the system runs without us — then expand on TestNeo when you’re ready.

Your repo first Code and CI you own — no black-box delivery
Time-boxed outcomes One critical path in 2 weeks — not an open-ended services contract
Platform path Sprint is designed to lead into TestNeo adoption — your call

Three clear ways to engage

Talk free. Run a focused 2-week verification pilot. Or work with us monthly. Nothing else on the menu.

Free

Discovery Call

30 minutes. Understand fit. If we’re not the right partner, we’ll say so — no sales pitch.

Most popular

First Verification Sprint

A 2-week pilot on one critical workflow, one repo, one CI hook — prove the model before scoping anything larger.

Ongoing

Founder Advisory

Monthly engagement for CTOs, EMs, and product leaders — release reviews, AI adoption, architecture.

Simple by design

Founding cohort pricing while we take on our first engagements. Prices shown in INR with USD equivalent — pay in either currency. Deeper scope is shaped on the discovery call.

Discovery Call

Free

30 mins · Talk with the TestNeo team

We’ll understand your release process, QA challenges, AI adoption goals, and engineering workflows. If we’re not a fit, we’ll tell you. No sales pitch.

  • Your release process
  • QA challenges
  • AI adoption goals
  • Engineering workflows
Book Discovery Call

Founder Advisory

₹29,000 / month starting at ≈ $350 USD / month · Founding cohort pricing · depth set on the call

Monthly · Custom engagement

Ideal for: CTOs, Engineering Managers, startup founders, and product teams.

  • Release engineering reviews
  • AI adoption strategy
  • Architecture discussions
  • Monthly advisory sessions
  • Custom engagement based on your needs
Talk to Us

Founding cohort pricing. Depth and follow-on scope are set on the discovery call.

Platform optional. Multi-repo or multi-team work is quoted only after discovery — we don’t over-scope on the website. Prefer training at individual scale? See TestNeo Academy.

From discovery to a durable first win

Scoped tightly so value lands fast — and the next step onto the product is obvious.

1. Discovery Call

Align on release risk. Decide Verification Sprint, Advisory, Academy/DIY — or walk away cleanly.

2. Fence the sprint

One critical workflow, one repo, one CI hook. Agree success metrics before build.

3. Build in-repo

Implement the operating slice with your engineers — reviewed, merged, owned by your team.

4. Handoff + subscribe when ready

Your team runs the path. Most design partners continue on a normal TestNeo subscription; Advisory is optional.

Why not just use ChatGPT or Claude?

Copilots generate artifacts. Releases need systems — ownership, gates, and evidence in CI.

ChatGPT / Claude alone

Generates outputs

  • Snippets and specs on demand
  • No lasting CI contract
  • No Pass / Warn / Block model
  • Evidence stays in chat logs

TestNeo Labs

Ships an operating slice

  • Scoped build in your engineering workflow
  • Repo-owned gates and playbooks
  • Repeatable release evidence
  • Clear path to run it on TestNeo ongoing

The same operating models that power TestNeo

Labs applies the Release Intelligence and verification approach behind our product — in your repo and CI first. When a sprint proves value, continuing on TestNeo is a natural next step, not a forced bundle.

Platform optional. Sprints land in your repo and CI first. Subscribe to TestNeo when you want Release Intelligence, NLP automation, and PR scoring as an ongoing product — your call after you see outcomes.

Need skills first? TestNeo Academy ($59 / $119) is self-paced training — same playbooks, you build the capability yourselves.

Common questions

Is TestNeo Labs a services or consulting company?
No. Labs is a capped Forward Deployed Engineering practice from a product company — not QA outsourcing, not an AI consultancy, not a delivery bench. We ship a scoped outcome, hand it off, and (when it fits) you continue on TestNeo.
How is Labs different from TestNeo Academy?
Academy is training. Labs is implementation of a scoped quality / release pilot in your repo and CI. Prefer to upskill first? Start with Academy.
Do we have to buy the TestNeo platform?
Not on day one — work starts in your repo and CI. Platform optional for the sprint itself. When the pilot proves out, adopting TestNeo is the natural way to scale. That decision is yours after you see the outcomes.
What is the First Verification Sprint?
A 2-week founding-cohort pilot: AI Quality Assessment, one critical workflow with Pass / Warn / Block, a single CI/CD hook, handoff docs, and a TestNeo adoption path. Scope: one critical workflow · one repository · one CI/CD hook. Starting at ₹49,000 (≈ $590 USD). Follow-on work is priced on the discovery call.
What is Founder Advisory?
Monthly engagement for CTOs, EMs, and product leaders — release reviews, AI adoption strategy, architecture, and advisory sessions. Starting at ₹29,000 / month (≈ $350 USD / month) under founding cohort pricing. Depth is set on the call.
Why founding cohort pricing?
We’re taking on early Labs engagements at accessible rates to prove the model with design partners. The publicly listed prices are founding cohort starting points. Anything larger, longer, or multi-repo is priced simply on the discovery call.
How do we get started?
Book a Discovery Call. From there: First Verification Sprint, Founder Advisory, Academy/DIY, or not a fit. You can also try the live playground.

Start with a Discovery Call.

Free fit conversation. First Verification Sprint or monthly Advisory if it makes sense — measurable outcomes, simple next steps.