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Preference Model vs graftfork

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

Preference Model compared with graftfork
DetailPreference Model logo Preference Modelgraftfork logo graftfork
What it doesOpen-sourcing Karotte, a framework for building robust reinforcement learning environments Keep your changes on every upstream release
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelOpen source Freemium
PricingNot given Free: 10 syncs per month, first conflict resolved free. Premium: $12/month with $6 of agent work included, up to 40 syncs per month, $10 add-ons for $7 of agent work. Team: $15 per fork per month (1-20 forks). Enterprise: by contract.
Key features
  • Sandboxed execution with non-privileged user isolation
  • Process termination before grading
  • Suspicious file detection and rejection
  • Out-of-memory and fork-bomb prevention
  • Hardened through one million evaluation runs
  • Red-team tested for reward hacking vulnerabilities
  • Scalable environment execution
  • Robust benchmark building support
  • Automatic change carrying onto new upstream releases
  • Test-driven verification before moving changes
  • AI-powered conflict resolution
  • No write access to your repository
  • Automatic test discovery for Python and Node projects
  • Program rebuilding from specification documents
  • Early warning system for upcoming releases
  • Signed records of every sync with verification
  • Support for GitHub, GitLab, Codeberg and any git host
  • Organization-level team management with audit logs
What makes it different
  • Provides secure defaults and primitives specifically designed to prevent reward hacking in RL training
  • Hardened through real-world testing at scale with over one million evaluation runs
  • Designed for training environments where defenses must withstand continuous optimization attempts
  • Addresses AI alignment at the highest leverage point through better environment construction
  • Built and tested internally by frontier AI research team
  • Never moves you onto code that fails your tests
  • Keeps your branch untouched until you decide to take a move
  • No overage charges on Premium and Team plans
  • Tested with real GitHub forks and Debian/Ubuntu release history
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)29 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)110
Citation Flow (Majestic)240
Referring domains (Majestic)980

4 details filled in for both companies.

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