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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
AI agent-based end-to-end testing platform for SaaS teams that runs exploratory and PR-triggered tests without maintaining test scripts.
Satellite data analytics provider turning imagery into AI-driven insights for agriculture, forestry and infrastructure.
Free desktop and web PDF suite for editing, converting, OCR, and signing, with built-in AI chat and summarization.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
No public pricing
- ✦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)
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦AI agents that visually explore and test UI like a real user
- ✦Automatic PR-triggered test runs via GitHub/Vercel preview integration
- ✦Self-healing tests that adapt to UI and workflow changes
- ✦Mobile web, iOS, and Android app testing support
- ✦Detailed debugging with screenshots, logs, and failure reasoning
- ✦Cloud-native execution with no source-code access required
- ✦LandViewer imagery search and analysis
- ✦Crop Monitoring for precision agriculture
- ✦EOS RayVision analytical reports
- ✦Crop classification and yield prediction
- ✦Infrastructure and change monitoring
- ✦Deforestation and damage mapping
- ✦EOSDA API and 20+ satellite data sources
- ✦Edit text, images, and form fields in PDFs
- ✦Convert between PDF, Word, Excel, PowerPoint, and images
- ✦OCR with 30+ language support
- ✦Annotate with highlights, notes, and stamps
- ✦AI chat and summarization built into the app
- ✦Cross-device sync across desktop, web, and mobile
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Engineering teams wanting regression testing without maintaining scripts
- →SaaS companies needing continuous QA feedback on every pull request
- →Teams replacing manual QA hours with automated agent-driven testing
- →Monitoring crop health and predicting yields
- →Tracking infrastructure and construction
- →Disaster damage and deforestation mapping
- →Maritime and border surveillance
- →Editing and converting PDFs without paying for Adobe Acrobat
- →Summarizing long PDFs with built-in AI chat
- →OCR-ing scanned documents into editable text
- →Signing documents on desktop or mobile