The end-to-end testing & quality platform

Build with AI.
Ship with ProvaLab.

AI can build the system. It can't ensure its quality. ProvaLab does — from the first pull request to the release, inside the coding agent you already use.

14-day Team trialSaaS today; private VPC and on-prem for Enterprise.

What ProvaLab is

One pipeline, from the first line of code to the product release

Six stages, in the order your team meets them — and every one of them plugs into the coding agent that wrote the code.

Every clip below is a real recording of ProvaLab on our SelectionSathi demo project, at normal speed — except PR Bot, shown as an illustration.

  1. Review01PR Bot
  2. Run02QA Infrastructure
  3. Manage03Test Management
  4. Ask04QA AI Agent
  5. Secure05AppSec
  6. Scale06Load Testing

ProvaLab plugin

Plugs into the coding agent your team already uses

The agent that writes your code can run, generate and triage ProvaLab tests itself, through the ProvaLab MCP server. Claude Code gets a full plugin with skills and slash commands; Cursor, OpenAI Codex, Google Antigravity and Windsurf connect with a few lines of MCP config. Ask in plain language and the agent picks the right ProvaLab tool.

  1. 1 · Sign in once per machine

    curl -sSf https://plugins.provalab.io/install.sh | sh
    provalab-auth login

    Windows: irm https://plugins.provalab.io/install.ps1 | iex. Short-lived OAuth tokens; nothing to paste into config.

  2. 2 · Add ProvaLab to your agent

    The plugin for Claude Code, or the MCP entry for the others.

  3. 3 · Ask

    “Run the checkout tests on ProvaLab”, “why did last night's run fail?” — or /provalab-test in Claude Code.

Full setup guide

Full plugin: skills + slash commands

/plugin marketplace add provalab-dev/claude-code-plugin
/plugin install provalab@provalab-marketplace

# then, in Claude Code:
/provalab-test       run a suite, or ask "run the login tests on ProvaLab"
/provalab-status     status of a run
/provalab-results    results, failures grouped by cause

ProvaLab's MCP endpoint is streamable HTTP at https://mcp.provalab.io/mcp.

01 · PR Bot

Every pull request, reviewed

Example: a critical SQL injection flagged — and fixed by the coding agent before merge

It starts in your repository. ProvaLab PR Bot reviews every pull request with static analysis, dynamic analysis and security checks, and feeds its findings straight back to your coding agent — so the agent fixes the code before a human ever looks at it.

  • Static analysis, dynamic analysis and security checks on every PR
  • Findings go back to the coding agent that wrote the code
  • Code meets your standards and is not compromised before it moves on
github.com · pull request #482
Illustration

02 · QA Infrastructure

Your agent runs the tests on ProvaLab

A separate UI suite: 14 tests on ProvaLab browsers — 13 passed; the 1 failure is the critical sign-in bypass

Once the code is ready, the tests have to run. Install the ProvaLab plugin or connect through MCP, and your coding agent executes test cases directly on ProvaLab. Browsers, simulators and real devices are provided by the lab.

  • Claude Code plugin and MCP: your agent runs the suite itself
  • Browsers, simulators and real devices — every session recorded
  • One subscription; never manage test infrastructure again
infra.provalab.io/app/sessions/live
● Live product

03 · Test Management

Your whole test catalogue, organised

The nightly run in TMS: 95 test cases — 81 passed, 14 failed — and 6 bugs filed from the failures

No more test cases living in spreadsheets. ProvaLab TMS gives you the standard hierarchy — project, module, feature, test suites, test cases, test plans and test runs — and every automated run reports into it.

  • Project → module → feature → suite → case → plan → run
  • Automated results land on the right case, run by run
  • AI-enabled: describe a feature and it drafts the plan, suites and cases
tms.provalab.io
● Live product

04 · QA AI Agent

Ask your test data anything

“Pass: 156 | Fail: 25” — the same nightly run, counted per automated test, answered in seconds

On top of that sits the QA AI Agent. Ask it in plain language — what did last night's run cover, what failed, what is still open — and it answers from your data. It also executes API and UI test cases on its own.

  • Plain-language questions, answered from your own runs and issues
  • Runs API and UI test cases when you ask
  • Works in the browser and inside your coding agent
qa.provalab.io
● Live product

05 · AppSec

Find the holes before attackers do

Web app + API scans: missing security headers flagged; 9 false alarms checked and closed

Any attacker can probe a web app that is not hardened. ProvaLab AppSec runs multiple scan types against your app and your APIs, finds the vulnerabilities and makes sure your customers' data stays protected.

  • Web app (DAST), API fuzzing, dependencies, secrets, containers and code
  • Only targets you have verified you own
  • A plain-language fix list, ordered by what matters first
security.provalab.io
● Live product

06 · Load Testing

Know your breaking point first

Broke at 25 concurrent users: 55% errors and 502s — the 7th bug of the day, before any customer saw it

The ProvaLab load testing platform generates realistic traffic, so you know how your system behaves under pressure before your customers find out.

  • API and real-browser load from the same platform
  • Thresholds that pass or fail a run, with a timeline of what broke
  • Engine health shown with every run, so results are never a guess
load.provalab.io
● Live product

Works with your stack

Keep your languages, frameworks and tools. ProvaLab plugs into them; it doesn't replace them.

Languages

Java
Python
C#
Node.js
Ruby

Testing Frameworks

P
Playwright
Selenium
Cypress

Project Management

Jira

Version Control & CI/CD

GitHub
GitLab
Jenkins
GitHub Actions

Communication

S
Slack
M
Microsoft Teams

You decide where your code runs

Giving an agent your repo and your test infrastructure means trust is non-negotiable. Here's how we handle yours.

Enterprise: your code stays in your network

Enterprise plans run the agent inside your VPC or on-prem; your repositories are never copied to our servers. SaaS today; private VPC and on-prem for Enterprise.

Private, dedicated infrastructure

Enterprise deployments get their own device farm and execution environment — no shared tenancy with other customers.

SSO and role-based access

Connect your existing identity provider and control who can view projects, trigger runs, and provision devices.

Starter and Team are self-serve on ProvaLab's cloud. Enterprise runs in your VPC or on-prem and is set up with you directly. Book a 30-min demo and we'll walk through it against your own stack.

Simple, transparent pricing

Start free. Scale as you grow. No hidden fees.

Starter

Core test management for small teams getting started.

$0

  • Up to 3 users
  • 500 test cases
  • Basic test management
Start Free
Most popular

Team

AI agents, device access, and full test management for growing teams.

$79 /user/month

  • Up to 25 users
  • Unlimited test cases
  • Full AI QA Agent access ($100/month AI budget)
Start 14-Day Trial

Enterprise

On-premise deployment, private device farms, and custom solutions.

Custom

  • Unlimited users & test cases
  • Dedicated AI agents
  • Private device farm (real + virtual)
Talk to Sales

One subscription instead of two — and less triage. A Team seat covers test management, cloud browsers and devices, and the AI QA Agent: work that usually means a test-management tool, a separate browser-grid subscription, and someone reading through failures by hand.

See it run against your own app.

30 minutes, no slides. We test one of your flows live and you leave with a plan.

  • · You describe one flow you care about.
  • · We generate and run the tests on real browsers or devices, live.
  • · You get a written plan: what to migrate, what the agent writes, what it costs.

Prefer a quick question? [email protected]

Good times for a call

No account needed. We never share your details.