Features
AI-moderated voice interviews with customers, experts, operators
Sentiment, tone, and conviction analysis from interviews
Ingest fund's data room, CRM, call notes, past deal memos
Ingest public sources: filings, news, transcripts, market data
Market simulation (digital twins) for scenario analysis
Automated research study with key findings and cited transcripts
Personal research agent via email and Slack
Customizable study design: describe research needs, LATO runs it
Secondary research on companies using company brain and public sources
Fast 'read' mode for quick insights in minutes
Works inside Excel via add-in
Encrypted TLS in transit, AES-256 at rest
SOC 2 and ISO 27001 audits in progress
No training on customer data
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
