Demo
Contact for pricing
- CI/CD integration
- Real browser testing
- Automated bug detection
- Auto-fix PR generation
- Visual regression testing
Approxima — Coding Agents Platform
Founded 2025|San Francisco, CA|2-10 people|Unknown
What is Approxima?
Approxima is a self-serve agentic QA platform that plugs into CI/CD pipelines to autonomously scope, code, validate, and fix software issues end-to-end. Part of YC W2026, the company was founded in 2025 by Ethan Pronev (ex-Jane Street, ex-Citadel Securities) and Ashish Selvaraj (ex-Databricks, ex-Microsoft), both University of Waterloo CS graduates.
When a pull request is opened, Approxima's AI agents open the preview deployment in a real browser, test that the changes actually work (both visually and functionally), identify what is broken, and submit a fix automatically as a follow-up PR. Unlike traditional E2E testing tools that require writing and maintaining test scripts, Approxima requires zero scripting and zero test maintenance — the agents explore and validate applications autonomously.
The platform covers AI bug detection, automated bug fixing, pull request validation, visual regression testing, and agentic QA. Approxima positions itself against competitors like Greptile and QA Wolf, differentiating through its fully automated detect-and-fix loop rather than detection-only approaches.
Key features
Core capabilities this platform advertises.
- CI/CD integration
- Sandbox validation
- End-to-end fix automation
- Auto-merge capability
- Maintenance automation
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Zero-maintenance QA — no test scripts to write or maintain, eliminating the biggest pain point of E2E testing
- End-to-end auto-remediation that goes beyond detection to automatically submit fix PRs
- Real browser validation against preview deployments catches visual regressions and real-world bugs
- Strong founder pedigree from Jane Street, Citadel, Databricks, and Microsoft with deep systems experience
- CI/CD native — runs automatically on every PR with no manual triggering
Cons
- Very early stage with only 2 founders and limited capacity for support and enterprise workloads
- No public pricing or self-serve signup — demo-only access creates friction for quick evaluation
- No community reviews or third-party validation yet as of early 2026
- Primarily focused on frontend/UI QA — may not cover backend logic or API-level testing
Plans & pricing
What's included in each plan, and how the tiers compare.
Common use cases
Engineering teams automating routine dev maintenance
- Bug fixing automation
- Routine maintenance
- CI/CD pipeline integration
- Code validation
Using Approxima with Respan
Approxima automates QA testing and bug fixing for AI-powered applications. Respan can monitor the LLM components within those applications while Approxima ensures the overall application quality through automated testing.
- Validate AI feature behavior through Approxima testing while monitoring LLM calls via Respan
- Catch AI-related visual and functional regressions through Approxima PR testing
- Ensure end-to-end quality for AI applications across both code quality and LLM performance
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Last verified: March 27, 2026