Features
Connect and structure data from data rooms, email, models, legal docs
Screen deals using natural language queries powered by historical data
Draft investment memos and deal artifacts in your firm's preferred format
Build comparable company analyses (comps)
Monitor portfolio performance with automated alerts
Normalize data across fund reports and performance metrics
Personal memory: remembers user preferences (e.g., bullets vs paragraphs)
Deal memory: indexes specific deal materials (e.g., CIMs)
Refine outputs iteratively (e.g., reformat risk tables, rewrite conclusions)
End-to-end investment lifecycle support: sourcing through monitoring
Enterprise-grade security: SOC 2 Type II, SSO, audit logs, data lifecycle management
Zero training on client data—data never used to train external models
Agent support: AI agents can act on your team's knowledge
Trusted by over $3T in AUM across multiple asset classes
Solar-powered rover with controlled illumination
Per-plant high-resolution imaging across growing season
AI-powered pest, weed, and disease detection per plant
Real-time plant growth monitoring
Automated yield forecasting from imagery and environmental data
Crop phenotyping via computer vision (leaf size, biomass)
Quality inspection for fruits and vegetables
Food waste reduction analytics
Integration of satellite, weather, and soil data layers
Multi-angle image capture with controlled rolling speeds
Machine learning to identify plant-environment interaction patterns
Data collection in muddy fields and bright sunlight
Terabyte-scale image datasets per field
Controlled rolling speeds and sophisticated sensors
