Features
Verifier-grounded data generation using formal proof systems
Simulator-based synthetic data generation
Executable test-driven data validation
Oracle database integration for trustworthy data
Information-dense natural language supplements (physics, biology, logic)
Batch integrity verification via SHA-256
Custom data generation for LLMs, image, video, and speech
Selective engagement model for high-impact projects
Pilot conversation initiation available
Data integrity per batch displayed on website
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
