Features
Natural language interface for bioinformatics analysis
Auto-generated validated pipelines (RNA-seq, ATAC-seq)
Interactive data visualization (volcano plots, UMAPs)
Exportable high-quality figures and tables
Reproducible, peer-reviewed methods under the hood
Experiment context capture in natural language
Automated pipeline execution without coding
Fully traceable results with version control
Team dashboard for collaborative projects
HPC and cloud upload support
Prebuilt workflows for common experiment types
Data upload from small to large datasets
Free tier with 10 prompts per chat
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
