Developers ship at vibe-coding speed with Cursor, Claude Code, and Windsurf. The tests don't keep up. Qestro is the testing layer for AI-written software — paste a URL, describe what to verify in plain English, and get production-grade test cases across browser, mobile, and API. Self-healing assertions mean tests fix themselves when the UI shifts. Written once, run everywhere.
Manual → Selenium. Cloud → SauceLabs. Mobile → Appium. CI/CD → Cypress. AI-assisted coding is the next wave — and it is the largest yet. Cursor crossed $2B ARR by February 2026 with 1M+ daily active users and 64% of Fortune 500 building on it. GitHub Copilot crossed 1.8M paid subscribers in late 2025. The tooling category that catches what they ship is open. Qestro builds it.
By 2027, >60% of new code in production will pass through an AI pair-programming step. Volume of code grows; volume of human QA does not.
Existing tools (Cypress, Playwright) demand a human-written test for every feature. That throughput cap is the chokepoint of vibe-coding. The market needs an AI-native generator + healer.
Today browser, mobile, and API testing live in three silos with three vendors. AI agents don't care about silos — they generate across them. The winner ships one platform, one prompt, three runtimes.
AI coding tools generate features in minutes. Tests still take days. The asymmetry is the bug.
Qestro is not a wrapper around Playwright with a chat box. It is an end-to-end test orchestration platform built on a sequenced multi-agent pipeline that authors, verifies, heals, and runs tests — across web, mobile, and API — from a single SaaS surface.
Six specialist agents — Intake, Explorer, Planner, Codegen, Verifier, Aggregator — run inside a Cloudflare Durable Object. Acceptance criteria in, runnable Playwright code out, persisted as a versioned test case. Verifier refuses to ship code that fails static or dry-run checks. Auditable per agent, per tool call, per token.
When a test fails, Claude analyzes the diff between the live DOM snapshot and the expected selector. Selector-drift, timing-flake, and assertion-mismatch are auto-classified. A suggested fix is rendered alongside the run; one click merges. Reduces test-maintenance load — the industry's #1 reason teams give up on E2E automation.
A unified ITestRunner interface dispatches the same generated plan to Playwright (Chrome / Firefox / WebKit), Maestro (iOS / Android), or Axios (REST / GraphQL). Mobile and API are first-class, not bolted on. Cross-runtime analytics in one dashboard.
Native Atlassian Forge app inside Jira issues — generate, link, and run tests without leaving the ticket. MCP server published for Claude Desktop, Cursor, and Windsurf. CLI for terminal-first teams. CI/CD plugins for GitHub Actions and GitLab. Qestro meets developers where they already are.
Cursor: $2B ARR · 1M+ DAU · 64% of Fortune 500. Copilot: 1.8M paid subscribers. Claude Code hits 93% on coding benchmarks. 100M+ lines of AI-assisted code shipped per day. Test debt scales with code volume, not with headcount.
October 2025: Gartner published its first Magic Quadrant for AI-Augmented Software Testing Tools — formal market recognition. Forecast: 80% of enterprises will integrate AI-augmented testing by 2027, up from just 15% in early 2023. Category creation phase is over; consolidation phase is starting.
2025 saw unprecedented VC inflows into AI testing. Momentic raised $15M Series A (Standard Capital, Dropbox Ventures, YC). QA Wolf raised $36M for mobile expansion. Mabl pivoted to "Agentic Tester". Testim was absorbed by Tricentis. The market votes the thesis is real.
The category is large, growing, and structurally unconsolidated. Incumbents (mabl, Tricentis-owned Testim, SmartBear) predate the LLM era and are retrofitting agentic features under pressure. Open-source frameworks (Cypress, Playwright, Maestro) require a human author per test. The AI-native, vibe-coding-first slot is open.
Engineering orgs using at least one AI coding tool in production. With Cursor at 50K+ enterprise customers alone, the AI-coding-adopting universe is now in the hundreds of thousands of teams. ACVs range $3K–$80K depending on tier.
Cursor/Claude Code-native shops, primarily 10–200 engineer Series A–C companies. Qestro's wedge: the teams that have already replaced StackOverflow with their IDE's chat panel and now hit a QA wall.
Every test run feeds the self-healing engine. Selector-drift patterns, flakiness signatures, retry profiles — proprietary corpus that competitors can't synthesize. Compounds with every customer.
Published as an MCP server in Claude Desktop, Cursor, and Windsurf. Qestro is one of the first three QA tools discoverable inside the AI tooling registry — first-mover advantage in agentic workflows.
Atlassian Forge app inside every issue. Acceptance criteria → tests, in one click. Forge marketplace listings compound exposure without paid CAC. 250K+ Atlassian Cloud sites are addressable distribution.
Workers + D1 + Durable Objects = sub-$0.01 marginal cost per test run. Competitors built on AWS pay 40–100× more for the same workload. Pricing power flows from this gap.
No competitor ships web + mobile + API + visual regression + load testing on a single platform with shared analytics. Bundle pricing dominates point-solution stacks over a 36-month horizon.
More tests → richer failure corpus → better healing → less maintenance → more adoption → more tests. The loop only closes for a player who owns generation, execution, and audit — Qestro's full-stack scope is the moat.
| Platform | Funding (latest) | AI Generation | Self-Healing | Mobile | API | Jira-Native | MCP / Agent-Ready |
|---|---|---|---|---|---|---|---|
| Qestro | Pre-Seed (raising) | ✓ Multi-agent | ✓ Claude-powered | ✓ Maestro | ✓ | ✓ Forge app | ✓ MCP server |
| mabl | $77M total | ~ Agentic Tester (2025) | ~ Heuristic | ~ Web only | ~ | ✗ | ✗ |
| Testim (Tricentis) | Acquired | ~ Record/replay | ~ Smart Locators | ✗ | ✗ | ✗ | ✗ |
| Momentic | $15M Series A '25 | ✓ LLM-driven | ~ | ✗ | ~ | ✗ | ✗ |
| QA Wolf | $36M (managed) | ✗ Humans | ✗ Humans | ~ New | ✗ | ✗ | ✗ |
| Meticulous | Series A | ~ Session-replay | ✗ | ✗ | ✗ | ✗ | ✗ |
| Cypress / Playwright | Open source | ✗ Framework only | ✗ | ✗ | ~ DIY | ✗ | ✗ |
Two structural gaps in the competitive set: (1) no incumbent ships a real multi-agent pipeline — mabl's "Agentic Tester" is a 2025 marketing pivot on top of legacy ML, and Momentic is single-agent LLM. (2) No competitor is MCP-discoverable inside Claude Desktop, Cursor, or Windsurf. The AI-agent registry is the new App Store distribution layer — incumbents haven't shown up.
Bottom-up SaaS with a frictionless free tier feeding pure-product virality from AI-IDE integrations, expanding through usage-based runs and enterprise compliance modules.
5 projects · 100 runs/month · solo developers. Acquisition tier; converts via run-cap nudges.
50 projects · 5K runs · Playwright + API · seed-stage teams.
500 projects · 50K runs · mobile · CI/CD · visual regression · 10–50 engineer teams.
Unlimited · SSO/SAML · SOC 2 · on-prem option · 200+ engineers · regulated industries.
Target unit economics at scale (modeled, not yet realized): Gross margin 82% · CAC payback <8 months on Pro tier · Net revenue retention >130% driven by run-volume expansion.
Dev-tools categories with ACVs between $5K and $50K are dominated by hybrid motion — bottom-up product adoption feeding top-down sales conversations. Pure PLG is too slow for enterprise; pure sales-led can't reach individual developers. Qestro's pricing tiers ($99–$499 self-serve, custom enterprise) map exactly to this band.
Qestro is published as an MCP server in Claude Desktop, Cursor, and Windsurf. A developer asks Cursor to "write tests for this PR" and Cursor calls Qestro. Distribution happens at the surface where AI-coding teams already live — zero paid CAC, friction near zero.
Atlassian Cloud is the standard work tracker for the SAM. Qestro's Forge app converts acceptance criteria → tests inside the issue itself. 250K+ Atlassian Cloud sites are addressable, with marketplace search as a free acquisition channel.
Twitter / r/programming / dev.to / YouTube. Founder posts shipped product + AI-agent learnings daily. Content fuels organic top-of-funnel; product self-serve converts. DevRel hire (round 1) scales this from one voice to a team.
Free tier (5 projects, 100 runs/mo) is the front door. Time-to-value < 5 minutes: paste URL, describe in English, get a runnable test. Self-serve upgrade triggers on run-volume + project-count walls. Slack/Discord community for friction support.
When a Pro team adds 10+ seats or hits 50% of run budget, sales is paged. SDR reaches out with an audit + Enterprise SSO/SAML conversation. Pattern proven by Notion, Linear, Vercel, Sentry — and now LLM-augmented by AI marketing agents in the workflow.
Why this works for Qestro specifically: the product is a testing tool — developers can prove value alone, but adoption naturally pulls in a team (CI/CD shared) and then a buyer (compliance, audit, enterprise SSO). The expansion path is the product's own logic, not an artifact of pricing.
Qestro is one of seven products in the LunaOS portfolio — an integrated AI-first engineering studio. The technical scope is real: production Cloudflare Workers + D1 + Durable Objects, native macOS app (Vibe Vault), AI-agent orchestration (LunaOS itself). Cross-product learnings compound.
Founder & CEO. Builder of the LunaOS portfolio (Qestro, AMLIQ, Vibe Vault, FinsavvyAI, OpenSyber, ClawPipe, PushCI). Architect of the multi-agent swarm pattern. Ships product daily; the platform you are reading was deployed via Cloudflare Pages by the same person, an hour ago.
With this round: 1× Founding Engineer (mobile / Maestro depth), 1× Designer (Apple HIG fluency for the QA workflow surface), 1× DevRel (community + MCP / Cursor ecosystem). Lean by design; capital-efficient by architecture.
18-month runway. Lean burn structure. Capital-efficient architecture means a check that would fund 9 months at a YC-stage US startup funds 18 months here.
Lead investor sought. Open to angels with operator backgrounds in dev tools, DevOps, or AI infra. Strategic checks (Atlassian, Cloudflare ecosystem funds) welcomed.
Investors who backed Cypress at Series A, Postman at Seed, or Snyk at Pre-Seed asked the same three questions. Qestro answers them:
A live platform at 95% readiness, an AI swarm shipped today, a portfolio of seven products in production. Pace is the strongest pre-revenue signal — Qestro's commit graph is the evidence.
2025 saw unprecedented VC inflows into AI testing (QA Financial). Momentic, QA Wolf, Mabl all closed material rounds in '25. Tricentis absorbed Testim. Gartner published the first AI-testing Magic Quadrant. The window where Pre-Seed at $2.5M can still win Series A in 12 months is 2026, not 2028.
Codegen is solved by foundation labs. Distribution into IDEs is solved by Cursor / Anthropic. The layer that says "this code does what it claims" has no incumbent. Qestro builds it.