Data Integration
Feeds from the systems you already have. A first graph without a six-month ETL programme.
Point it at the sources you already run
Databases, APIs, files, streams. The OS discovers types, maps links, and starts a model. You are not standing up a new warehouse programme to get a first shortlist.
ETL is optional. Batch jobs are optional. Feeds can run continuously into the substrate.
Document Ingestion & Processing
Documents you already have: OCR, then entities and facts into the graph.
Supported Formats
Processing Capabilities
OCR Engine
Tesseract & EasyOCR for scanned documents
NLP Analysis
Entity recognition, topic modeling, sentiment
Extraction
Entities and facts from unstructured files
Graph Integration
Stores documents and relationships in Inputless DB
Supported Data Sources
SQL Databases
- • PostgreSQL
- • MySQL
- • SQL Server
- • Oracle
REST APIs
- • JSON APIs
- • GraphQL
- • Webhooks
- • OAuth
Streaming
- • Kafka
- • RabbitMQ
- • WebSockets
- • SSE
Automatic Schema Discovery
The system automatically discovers data structures, maps relationships, and begins cognitive modeling without manual configuration.
Connect
Point to data source (database, API, file)
Discover
System analyzes schema and relationships
Model
Cognitive substrate begins mapping immediately