Clay icon

Clay

★★★★★ 4.6
VS

Weights & Biases

★★★★★ 4.7
Feature Clay Weights & Biases
Pricing Free / from $149/mo Free / from $50/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.6 / 5 4.7 / 5
Best For sales-teams, growth-teams, agencies, outbound-heavy-companies ml-engineers, research-teams, ai-companies, data-scientists
Founded 2017 2017
Data Enrichment
Ai Research
Waterfall Enrichment
Outreach Personalization
Crm Integration
List Building
Ai Messaging
Experiment Tracking
Model Registry
Sweeps
Artifacts
Reports
Launch

✓ Clay Pros

  • Aggregates 75+ data sources in one waterfall enrichment
  • AI research agent writes personalized outreach copy
  • Flexible spreadsheet-like interface for data manipulation
  • Integrates with all major CRMs and sequencing tools

✗ Clay Cons

  • Expensive for small teams (starter at $149/mo)
  • Learning curve for advanced data workflows
  • Credit system can be confusing to predict costs

✓ Weights & Biases Pros

  • Best-in-class experiment tracking
  • Beautiful visualizations
  • Great collaboration features
  • Generous free tier

✗ Weights & Biases Cons

  • Learning curve for full platform
  • Can be expensive for large teams
  • Requires integration work

The Verdict

Clay is built for sales teams and growth teams, with a focus on data-enrichment and ai-research. Weights & Biases targets ml engineers and research teams and leads with experiment-tracking and model-registry.

On pricing, Weights & Biases is the clear winner for budget-conscious users — starting at $50/mo compared to $149/mo for Clay. That $99/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, Clay offers broader built-in capabilities (7 features vs 6), while Weights & Biases takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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