Features
Text-first simulation chat
Optional file attachments (PDF, Markdown, text)
Multi-agent simulation behind a single conversation
Knowledge graph extraction from seed material
Agent persona simulation across social surfaces
Prediction report with turning points, risks, and confidence signals
Deep interaction: continue asking questions against simulated world
Result cards with summary, report entry, and follow-up path
Orchestration workflow: seed → graph → simulation → report → interact
Example scenarios: campaign test, pricing reaction, policy stress, market narrative
No code or configuration required
Exploratory decision support disclaimer
Real-time conversation interface
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
