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GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
Independent benchmarks comparing AI models and API providers on intelligence, speed, and cost across many leaderboards.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Enterprise platform to build, run and govern AI agents and ML models across cloud, on-prem and hybrid environments.
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦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
- ✦Intelligence Index across many benchmarks
- ✦Model speed and cost comparisons
- ✦Coding, speech, image, and video leaderboards
- ✦Provider performance analysis
- ✦Personalized model recommender
- ✦Premium data and reports
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦Agent workforce build/run/govern platform
- ✦Generative and predictive AI
- ✦AI governance and observability
- ✦Deploy on-prem, hybrid or cross-cloud
- ✦Prebuilt agents and blueprints
- ✦NVIDIA and SAP integrations
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Choosing an AI model or provider
- →Tracking frontier model progress
- →Comparing price and performance
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Build enterprise AI agents
- →Deploy and monitor ML models
- →Govern AI across the organization
- →Run AI in regulated/complex environments