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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

SEAL Leaderboards logo
SEAL Leaderboards
✓ verifiedFree

Scale AI provides training data and evaluation platforms; major AI company.

625K visits/mo3.0K saves

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
Pixels2Flutter logo
Pixels2Flutter
✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K saves
Ai2sql logo
Ai2sql
✓ verifiedFreemium

Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.

9.0K saves
Pricing

No public pricing

No public pricing

No public pricing

Start: $5/mo
Pro: $11/mo (unlimited queries)
Team: $23/mo (5 users)

Free trial available

Core features
  • High-quality training data for AI models
  • Scale Data Engine for data management and labeling
  • Scale GenAI Platform for full-stack Generative AI
  • Scale Donovan for AI-powered decision-making
  • AI model evaluation and red teaming
  • RLHF (Reinforcement Learning from Human Feedback)
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Natural-language to SQL
  • Semantic schema layer
  • Governed MCP/REST gateway
  • Read-only query enforcement
  • 7 database connectors
  • SQL explain, optimize and format
Use cases
  • Developing self-driving car AI with high-quality training data.
  • Building Generative AI applications using the Scale GenAI Platform.
  • Improving AI model performance through supervised fine-tuning and RLHF.
  • Evaluating the safety and robustness of AI models using SEAL Leaderboards.
  • Integrating enterprise data into foundation models for strategic differentiation.
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Generating SQL without coding
  • Giving agents safe DB access
  • Explaining and fixing queries
  • Querying live databases
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