Features
Autonomous growth chambers with environmental control
Real-time plant phenotyping using computer vision
AI-powered growth prediction models
Remote monitoring via web dashboard
Customizable experimental protocols
Data export for downstream analysis
Multi-chamber orchestration
Integration with external sensors
Automated irrigation and nutrient delivery
Climate simulation for location-specific scenarios
Collaborative project sharing
Versioned experiment history
Alert system for anomaly detection
Scalable from lab to greenhouse
API access for third-party automation
Semantic knowledge graph construction from enterprise data
Deep contextualisation of structured and unstructured data
Expert validation loops with versioned audit trails
LLM evaluation against accuracy and compliance criteria
Guardrails enforcing consistency from expert benchmarks
Full source traceability and explainable reasoning paths
Model-agnostic flexibility (no vendor lock-in)
Ingests documents, patents, regulations, research, and ERP data
330M+ documents securely ingested across 200K+ evaluated answers
Quantified confidence scores at every layer
Integrates with AWS for regulated deployment
Axion™ product: from data chaos to AI-ready intelligence
Neuralith™ product: enterprise knowledge into an AI engine
RSpace™ product: precision intelligence for complex R&D
Strategic partnership with AWS