Features
Automated regulatory mapping for 106 countries
Multi-agent AI pipeline (MARIA) scanning 19,000+ authorities
Product catalog ingestion via SKU upload or domain scan
Real-time regulatory change alerts with risk scoring
Compliance status dashboard per jurisdiction
Export compliance: HS code, duties, certifications
Due diligence batch screening of up to 100 entities
Slack integration with risk-level color coding
Multi-language regulatory text analysis (8 languages)
Open-source MCP skills for AI agent integration (Claude Code, ChatGPT, Cursor)
DORA compliance module with ICT risk mapping
Digital Product Passport and ESPR ecodesign tracking
Legal-expert verification of all findings
Regulatory glossary with 20+ terms
Comparison pages vs. manual, law firms, traditional GRC
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
