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Voxel51 vs DidWork

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

Voxel51 compared with DidWork
DetailVoxel51 logo Voxel51DidWork logo DidWork
What it doesSearch, visualize, curate, and label multimodal data for physical AI models Independent verification for AI agent outcomes
StageEstablished Startup
Founded2018 Not given
Based inUS Not given
Pricing modelPaid Freemium
PricingNot given Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
Key features
  • Natural language search across datasets
  • Synchronized multimodal playback with video, 3D, sensors, and maps
  • Automated annotation quality assurance
  • VLM-assisted labeling and active learning
  • Agentic data work automation
  • Model evaluation and failure pattern detection
  • Dataset versioning and comparison
  • Support for billions of samples
  • Role-based access controls and SSO
  • Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
  • First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
  • MCP integration with Claude Code, Cursor, and any MCP host
  • GitHub Actions required check that fails on unverified claims
  • Audit trail storing claims, evidence, and verdicts separately
  • Capability inspection before agents call tools
  • Read-only credential access with AES-256-GCM encryption
  • Continuous monitoring with watches every 5-10 minutes on Pro plan
  • Evidence retention for 7 days on Hobbyist, 1 year on Pro
What makes it different
  • Unified platform keeps data iteration continuous across the entire workflow
  • Search and curate across multimodal data types in one place
  • Agentic workflows automate repetitive data tasks
  • Built on open source FiftyOne toolkit
  • Deployed in regulated industries with full compliance and governance controls
  • Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
  • Neutral gate between agent execution and success verification
  • Runs the same way in production as in development
  • Never needs write access, only reads authoritative state
  • Structured audit trail for debugging and agent evaluation
Community votes00
DR (Domain Rating by Ahrefs)70 no change since last check2 no change since last check
Trust Flow (Majestic)231
Citation Flow (Majestic)4723
Referring domains (Majestic)112814

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