Data Intelligence Platform: Cognitive Data Fabric & Vector Mesh
Unify structured data warehouses and unstructured documents into a living cognitive fabric. Idynic delivers automated semantic knowledge graphs, vector retrieval, and zero-copy activation.
Hybrid Vector & Keyword Semantic Retrieval Latency
Warehouse Native Data Federation
Enterprise Semantic Graph Availability
Expansion in Self-Serve AI Knowledge Queries
Enterprise Knowledge Graphs, Vector Search & Unified Data Intelligence
Unlock contextual business intelligence from unstructured enterprise data. We harmonize relational tables, documents, logs, and APIs into an interconnected semantic knowledge graph paired with vector retrieval for sub-second enterprise RAG and conversational intelligence.
"Idynic's Data Intelligence Platform aggregated 45 million trading transactions and 200,000 regulatory filings into a unified semantic graph. Compliance research that used to take 3 days now takes 8 seconds."
Chief Data Officer — Global Investment Bank
The Enterprise Semantic Intelligence Continuum
From raw unstructured ingestion to contextual knowledge graph reasoning and accurate generative RAG.
Multimodal Ingestion
High-throughput ingestion connecting Snowflake, Databricks, PostgreSQL, SharePoint, PDFs, and Jira into a streaming lakehouse.
Semantic Entity Linking
Automated Named Entity Recognition (NER) establishing canonical ontologies and bidirectional graph relationships.
Hybrid Vector Mesh
Dense vector embeddings combined with sparse BM25 indexing in Milvus/Qdrant ensuring pinpoint factual retrieval accuracy.
Governed RAG Serving
Sub-second generation augmented with source citations, strict role-based access control (RBAC), and automated hallucination filters.
Across billions of vector embeddings and relational graph nodes.
Zero hallucinations backed by verified mathematical entity citations.
Connecting enterprise assets, customers, vendors, and contractual obligations.
Users never see answers synthesized from documents they lack permission to read.
Legal, clinical, and financial research teams deliver answers in minutes.
Reactivating dormant dark data trapped in legacy departmental file shares.
Enterprise Knowledge Graph Engineering
Building robust OWL/RDF ontology models and property graphs on Neo4j, AWS Neptune, and TigerGraph to capture intricate institutional knowledge.
- Automated schema extraction linking customer master data to supply chain assets
- High-performance graph traversal algorithms executing multi-hop queries in milliseconds
- Real-time change streaming maintaining live graph synchronization with ERPs
High-Fidelity Document & Contract AI
Parsing complex technical blueprints, multi-page financial statements, and clinical trial protocols with complete structural understanding.
- Visual layout-aware PDF parsers extracting tables, footnotes, and diagrams
- OCR cleanup models restoring degraded historical scans to 99.8% text accuracy
- Automated metadata classification and PII/PHI redaction enclaves
Biopharma Research Lab Accelerates Target Discovery by 70%
By ingesting 12 million PubMed papers, internal patents, and clinical trial outcomes into Idynic's Data Intelligence Platform, oncologists discovered novel protein-protein interactions leading to 3 breakthrough drug candidates.
"Our traders query real-time weather models, pipeline capacities, and geopolitics in simple English. The platform grounds every insight in verifiable data."
Managing Director — Commodities Analytics Group
Data Intelligence Platform Questions
Turn Unstructured Data into Contextual Enterprise Intelligence
Book a live demonstration of our Knowledge Graph and GraphRAG platform.
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