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FynoLabs vs OpenQodex

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

FynoLabs compared with OpenQodex
DetailFynoLabs logo FynoLabs OpenQodex
What it doesManaged AI trainers, LLM evaluators and benchmark authors for AI labs and data partners Open source code review inside your coding agent before you push
StageNot given Startup
FoundedNot given 2024
Based inIN US
Pricing modelContact for pricing Open source
PricingNot given Free. Open source under Apache 2.0 license.
Key features
  • Coding-agent benchmarks in Terminal-Bench and SWE-bench style
  • Research reproduction in PaperBench style
  • Model evaluation and RLHF with preference ranking
  • Long-horizon agent tasks with planning and tool use
  • STEM and expert reasoning questions at PhD level
  • Trial task scoring before work begins
  • Peer review on every item
  • Senior reviewer calibration on each batch
  • Product design and full-stack development for SaaS and AI
  • LLM assistants and voice AI integration
  • 22 built-in scanners for secrets, security, dependencies and lint errors
  • Code graph showing callers and importers of changed code
  • Separate reviewer process using Claude Code or Codex
  • Script-based validation of review completeness
  • Works with Claude Code, Cursor, Codex and Cline
  • Terminal, agent and CI integration
  • GitHub Action for pull request reviews
  • Pre-commit and pre-push hooks
  • Custom scanner configuration from GitHub
  • No telemetry or data collection
What makes it different
  • One programme lead and point of contact instead of managing hundreds of individual profiles
  • Scored trial on your rubric for every expert, not just CV and quiz screens
  • Second review on every item plus senior calibration, not just spot checks
  • Published quality numbers: 2,500+ tasks authored, 90% acceptance rate, 4.89/5 rating
  • Pilot staffing in days with 5 to 10 experts
  • No API key, account or server required - runs entirely on your local machine
  • Separate reviewer process with no memory of the coding session that produced the code
  • Open source Apache 2.0 license with full transparency
  • Integrated directly into coding agents without additional configuration
  • Findings only on changed lines, not whole repository
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check41 no change since last check
Trust Flow (Majestic)017
Citation Flow (Majestic)022
Referring domains (Majestic)1316

5 details filled in for both companies.

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