Features
Identifier-based people research (name, email, phone, handle, company)
AI agents autonomously browse open and dark web, official records, and documents
Cross-reference across 20+ sources with cited evidence
Social media account detection and linking (X/Twitter, GitHub, Reddit, etc.)
Entity affiliation mapping (companies, roles, jurisdictions)
Risk signal detection: sanctions, PEP status, court records, adverse media
Corporate irregularity scanning (shell companies, dissolved entities, address clustering)
Dark web exposure checks (breach databases, leaked credentials)
Digital footprint gap analysis
Identity resolution on banned/scammer accounts
Rented gig-worker account detection
Real-time deep research via web UI
API for automated batch processing
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
