Features
Reinforcement learning environments for non-verifiable tasks
Training data production for models to develop taste and judgment
Focus on subjective, long-horizon tasks requiring reasoning and context
Captures reasoning processes behind expert decisions
Partners with frontier AI labs to generate training signals
Targets economically valuable white-collar work domains
Real expert observation in real environments
Preserves full reasoning process leading to decisions
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
