IronBee
IronBee is an AI QA engineer and verification/intelligence layer for AI coding agents. It drives applications in a real browser, checks frontend, API and backend behavior at runtime, and returns evidence-backed failures, root causes and fixes before code ships.
At a Glance
- Engineering teams and companies shipping AI-generated software
- Enterprise software organizations and CTO/VP Engineering/CISO teams adopting coding agents
- Teams using Claude Code, Cursor or Codex
- Teams deploying through GitHub, Vercel or Netlify
- +1 more
AI Tools by IronBee
(1)
IronBee Express
Goal Driven Browser Testing Agent
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Products & Services
Commercial verification, observability and intelligence platform for AI-generated code; runs verification on pull requests and preview deployments and correlates browser evidence with OpenTelemetry traces, logs and code changes.
Open-source CLI and agent integration that installs verification hooks, browser tooling and rules for Claude Code and Cursor, requiring a passing browser-based verdict before an agent completes a task.
Goal-driven browser agent: users describe a task in one sentence, and Express drives a real browser, reviews the page and API responses, and optionally joins backend logs and traces through IronBee.
GitHub Actions integration for verifying pull requests and applications running in CI; documentation shows the ironbee-ai/ironbee-action action.
Market Position
IronBee positions itself as runtime verification and intelligence infrastructure for agentic software development rather than a smarter linter or static code-review tool. It differentiates by driving the live application, correlating UI behavior with APIs, logs and OpenTelemetry traces, proving that changed code executed, and returning a root cause and potential fix. Its comparison set includes Playwright MCP, QA Wolf, Momentic, Bug0, TestSprite, QA.tech, Chrome DevTools MCP and Autonoma.
Leadership
Founders
Serkan Özal
Founder and CEO; early engineer on OpsGenie and founder of Thundra, an observability platform acquired by Catchpoint in 2023. He is also an OpenTelemetry maintainer and AWS Serverless Hero.
Ercan Er
Co-founder; former senior frontend developer at Thundra and staff software engineer at Catchpoint after Thundra's acquisition.
Süleyman Barman
Co-founder; former senior engineering manager at Catchpoint and engineering leader at Thundra; part of the former OpsGenie/Thundra team.
Executive Team
Serkan Özal
Founder and CEO
Early OpsGenie engineer and founder of Thundra; OpenTelemetry maintainer and AWS Serverless Hero.
Ercan Er
Co-Founder
Former Thundra senior frontend developer and Catchpoint staff software engineer.
Founding Story
The founders repeatedly saw AI coding agents claim that work was finished while bugs remained, forcing engineers to reproduce, debug and verify the same changes manually. Drawing on their experience in runtime observability at OpsGenie and Thundra, they started IronBee to create an autonomous verify-and-fix loop that turns an agent's claim of completion into evidence-backed proof.
Business Model
Revenue Model
Subscription SaaS priced by seats and usage, with paid Team and custom Enterprise plans; the platform also offers a free tier and an open-source CLI/component layer.
Pricing Tiers
3 seats; 100 jobs/month; 100 sessions/month; 30-day retention; account-level analyses, findings and recommendations; community support.
100 jobs/month per seat; unlimited sessions; project-level analyses, findings and recommendations; team management; 90-day retention; priority email plus Slack/Discord support.
Custom limits and retention; unlimited jobs and sessions; user-level analyses; SSO/SAML, SCIM, audit logs, self-hosted options and dedicated SLA support.
Target Markets
- Engineering teams and companies shipping AI-generated software
- Enterprise software organizations and CTO/VP Engineering/CISO teams adopting coding agents
- Teams using Claude Code, Cursor or Codex
- Teams deploying through GitHub, Vercel or Netlify
- Developers needing browser, API and backend runtime verification
- Verifying AI-generated feature changes before merge or deployment
- Testing Vercel previews, Netlify deploy previews/branches/production and GitHub pull requests
- Running browser and backend verification inside CI when no deployment URL exists
- Checking end-to-end user journeys such as checkout, authentication, forms and API data flow
- Finding runtime regressions, failed requests, console errors, slow calls and swallowed exceptions
- Giving AI coding agents a verify-and-fix loop through Claude Code, Cursor or Codex