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AI PDF-to-Excel converter that extracts data from invoices, receipts, and bank statements into spreadsheets, sold as pay-as-you-go credits.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Satellite data analytics provider turning imagery into AI-driven insights for agriculture, forestry and infrastructure.
Data-labeling and RL data platform supplying training data, environments and evaluation for frontier AI labs and enterprises.
No public pricing
No public pricing
No public pricing
- ✦AI PDF-to-Excel data extraction
- ✦Support for invoices, receipts, and bank statements
- ✦Document-type templates
- ✦Credit-based, no-subscription pricing
- ✦Google sign-in and free starter credits
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦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
- ✦Data labeling across modalities
- ✦RL environments and reward signals
- ✦Custom model evaluations and benchmarks
- ✦Human preference/annotation from an expert network
- ✦Recursion RL platform for enterprise agents
- ✦Robotics data (video, trajectories)
- →Converting invoices and receipts to spreadsheets
- →Digitizing bank statements for accounting
- →Reducing manual data entry for small teams
- →Processing document backlogs on demand
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Monitoring crop health and predicting yields
- →Tracking infrastructure and construction
- →Disaster damage and deforestation mapping
- →Maritime and border surveillance
- →Building training and evaluation datasets
- →Post-training and RLHF for models
- →Benchmarking model capability
- →Training enterprise specialist agents