Product Timeline
Our journey from experiment to enterprise
From initial GPT experiments to enterprise-grade knowledge infrastructure. Follow our evolution as we build the future of deterministic AI.
Commercial Real Estate Project
Where it all began
Started as a project for ingesting and analyzing portfolios of commercial real estate. Processing property documents, lease agreements, and financial data.
Real Estate Data Integration
Connecting disparate sources
Built integrations for multiple data sources including property databases, financial records, and market data. First insights into document relationships.
Pattern Recognition
Finding hidden connections
Discovered that real estate analysis required understanding complex relationships between entities. This insight led to exploring graph-based approaches.
The Graph Revolution
From documents to knowledge
Pivotal architecture shift to Neo4j-based Knowledge Graph. This fundamental change enabled deterministic reasoning and eliminated hallucinations through hard relationship constraints.
Graph Query Optimization
Performance at scale
Deep optimization of graph traversal algorithms. Developed custom Cypher query patterns and caching strategies for sub-second response times on million-node graphs.
Reasoning Engine v2
Multi-hop inference at scale
Advanced reasoning capabilities with multi-hop graph inference. System can now chain complex logical relationships across thousands of nodes to derive accurate conclusions.
Enterprise Security Hardening
Financial-grade infrastructure
Completed comprehensive security audit and implemented enterprise-grade security controls. Zero-trust architecture with full tenant isolation.
Root Cause Analysis Engine
Full traceability stack
Built comprehensive RCA system that traces every AI decision back to source documents. Complete audit trail for regulatory compliance in high-stakes industries.
Expert Knowledge Interface
Digitizing institutional wisdom
Structured interface for domain experts to encode tribal knowledge directly into the graph. Validation workflows ensure accuracy before knowledge becomes authoritative.
Tier-1 Insurer Deployment
First major enterprise go-live
Full production deployment at major European insurer. Processing 50,000+ pages of policy documentation with 100% audit trail.
Self-Healing Protocol
Autonomous data integrity
Introducing autonomous conflict detection and resolution. The system identifies contradictions across data sources and reconciles them based on trust hierarchies.
Agentic Workflows
Autonomous decision-making
AI agents that execute multi-step business processes autonomously, grounded entirely in the Knowledge Graph with human oversight at critical junctures.
Domain Schema Adapters
Vertical-agnostic architecture
Building pluggable ontology adapters for new industry verticals. Domain-specific NER models, custom entity schemas, and industry-standard taxonomy mappings.
Federated Graph Architecture
Cross-domain knowledge synthesis
Enabling reasoning across multiple knowledge graphs while maintaining strict data boundaries. Connect product graphs with service graphs, link supplier data to inventory, all through a unified query layer.
The Autonomous Enterprise
Long-term vision
Fully autonomous knowledge systems that continuously learn, adapt, and self-optimize. Zero-touch document processing with human oversight only for edge cases.
Building the Future Together
Join us on our mission to make enterprise AI deterministic, auditable, and trustworthy.
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