Most organisations run generative AI, graph databases, and AI agents as separate experiments. Previsant has wired them into a single production architecture - with Memgraph as the graph engine at the centre.

In this Community Call, Satya Sachdeva and Doug Ramsey, cofounders and CTO and CEO respectively of Previsant will walk through their Adaptive Intelligence Platform and show a live demo of how it works end-to-end: ingesting unstructured documents, extracting entities and relationships into Memgraph, defining domain-specific schemas, and using AI agents with MCP to combine graph-derived knowledge with structured data from existing systems.

The session will cover how the platform supports multiple domains — including insurance, legal, and manufacturing — and what it takes to move from isolated AI capabilities to a unified, production-ready architecture.

Why attend? If you're building in insurance, legal, or manufacturing or looking to have a end to end lineage across systems as data travels from source systems to analytics environments

Insurance: See how unstructured policy and claims documents become a queryable graph of entities, rules, and relationships — the foundation for fraud detection, payment integrity, and claims automation workflows that depend on connecting data across systems, not just searching within them.

Legal: Document-heavy workflows in legal — contracts, regulatory filings, case law — are riddled with implicit relationships that keyword search and vector retrieval miss. This session shows how graph-based entity extraction and AI agents surface cross-document connections at scale.

Manufacturing: Quality incidents, supplier relationships, and compliance documentation sit in disconnected systems. See how a graph-powered platform connects structured operational data with unstructured reports and specifications to surface patterns that siloed analytics cannot.

If you're evaluating how to move beyond standalone AI experiments and connect generative AI, graph infrastructure, and agents into a single architecture, this is a working example from a team that has already done it in production.

Insurance, Legal, Manufacturing - How Previsant Connects AI Agents and Context Graphs Across Domains with Memgraph