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SEAL Leaderboards
✓ verifiedFree
Scale AI provides training data and evaluation platforms; major AI company.
👁 625K/mo♥ 3.0K
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devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
👁 52K/mo
Pricing
No public pricing
No public pricing
Hobby: $15/month
Pro: $45/month
Business: $75/month
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
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)
- ✦AI-Powered Translation
- ✦GitHub Integration
- ✦Automated Pull Requests
- ✦Contextual Guidance
- ✦Support for 40+ Languages
- ✦Collaborative Workflow
- ✦Real-Time Localization
- ✦AI-Powered Accuracy Checks
- ✦Custom Translation Preferences
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
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
- →Localizing iOS and Android apps into multiple languages
- →Automating the translation of new or updated strings in your app
- →Managing app localization projects with a team
- →Ensuring the accuracy and consistency of app translations
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
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