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Glitchless vs Steel

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

Glitchless compared with Steel
DetailGlitchless logo GlitchlessSteel logo Steel
What it doesGame observability and analytics platform for coding agents to monitor real player performance GPU-accelerated rigid-body dynamics solver for robot learning
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Open source
PricingFree: 5,000 play sessions/month, 1 game, 14 days data; Indie: $19/month for 25,000 sessions, up to 5 games, 90 days data; Studio: $99/month for 250,000 sessions, up to 25 games, 400 days data. Extra sessions $1 per 1,000. Self-hosted: free, unlimited on own server. Not given
Key features
  • Frame time monitoring and hitch detection on player devices
  • MCP server integration for coding agents (Claude Code, Codex, Cursor)
  • Crash and error reporting with context
  • Custom event tracking for game metrics
  • Automated playtest bots with seed matching
  • Dashboard with per-game customization
  • Player retention and churn analysis
  • Revenue and conversion tracking
  • Support for 8 game engines
  • 3.8× PhysX throughput on 20 benchmarks geometric mean
  • 13.0× performance on heterogeneous task mixtures
  • Per-environment work scheduling for efficiency
  • Reduced-coordinate articulation dynamics
  • Differentiable simulation
  • Rigid-deformable coupling support
  • Compliant and hydroelastic contact
  • 62% less GPU memory than PhysX at matched batch size
  • 3.90 million environment steps per second peak throughput
What makes it different
  • Designed specifically for AI coding agents to understand and fix game issues autonomously
  • Automated verification of fixes using bots that replay with identical seeds
  • Analyzes real player data, not synthetic testing
  • Privacy-first by default with no player identification
  • Open source self-hosted option with unlimited usage
  • Designed for heterogeneous workloads with different robots and tasks simulated together efficiently
  • Integrated into open-source Newton for seamless adoption without separate physics stack
  • Supports diverse physical interactions beyond rigid bodies
  • Enables scaling of diverse robot experience for general-purpose learning
Community votes00
DR (Domain Rating by Ahrefs)3 no change since last check67 no change since last check
Trust Flow (Majestic)024
Citation Flow (Majestic)1440
Referring domains (Majestic)62061

4 details filled in for both companies.

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