Gyri transforms scattered business data into a continuously learning intelligence — through a pipeline of ingestion, comprehension, synthesis, memory, and delivery.
Gyri connects to the data sources your business runs on — emails, Slack, Google Drive, CRM, and custom APIs. Connectors sync into your workspace graph on a schedule; live federated search is available where enabled.
Raw data becomes structured knowledge. Gyri extracts entities — people, organizations, events, decisions — and maps the relationships between them into a living knowledge graph.
Gyri continuously runs cross-source analysis — correlating timing, people, and language to surface trends and insights that no single data source could reveal alone.
Unlike session-based AI, Gyri maintains a continuously updated memory layer. Decisions, discoveries, and context accumulate over time — making every new interaction smarter than the last.
Through the MCP protocol, Gyri delivers synthesized intelligence directly into any AI assistant. Ask in natural language, get answers with cited sources — across every layer of your business history.
Start a free trial and see all five layers on your own data.
Gyri ingests connected sources into a workspace knowledge graph with typed entities and relationships. Queries traverse CRM records, email threads, Slack messages, and documents — returning cited synthesis, not just keyword matches.
Multihop GraphQL lets operators and agents join data across systems in one query — for example linking a CRM opportunity to related Slack threads, support tickets, and contract clauses without manual copy-paste.
Gyri exposes workspace context and write-back tools via MCP (Model Context Protocol). Agents in Claude, Cursor, and custom tooling search the graph, synthesize cited answers, and persist insights back to CRM and comms.