Clay
Together AI
| Feature | Clay | Together AI |
|---|---|---|
| Pricing | Free / from $149/mo | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Best For | sales-teams, growth-teams, agencies, outbound-heavy-companies | ai-developers, startups, cost-conscious-teams, open-source-advocates |
| Founded | 2017 | 2022 |
| Data Enrichment | ✓ | ✗ |
| Ai Research | ✓ | ✗ |
| Waterfall Enrichment | ✓ | ✗ |
| Outreach Personalization | ✓ | ✗ |
| Crm Integration | ✓ | ✗ |
| List Building | ✓ | ✗ |
| Ai Messaging | ✓ | ✗ |
| Inference Api | ✗ | ✓ |
| Fine Tuning | ✗ | ✓ |
| Custom Models | ✗ | ✓ |
| Openai Compatibility | ✗ | ✓ |
| Batch Processing | ✗ | ✓ |
| Embeddings | ✗ | ✓ |
✓ 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
✓ Together AI Pros
- Fast inference speeds
- OpenAI-compatible API
- Cheaper than OpenAI for many models
- Custom model fine-tuning
✗ Together AI Cons
- Only open-source models
- Limited compared to full cloud providers
- Newer platform
The Verdict
Clay is built for sales teams and growth teams, with a focus on data-enrichment and ai-research. Together AI targets ai developers and startups and leads with inference-api and fine-tuning.
Together AI uses custom enterprise pricing, while Clay starts at $149/mo — a tangible advantage for teams with a fixed budget.
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 Together AI 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.