Fabric connects ShotGrid, FileMaker, Airtable and the rest of your production stack into one governed brain. Ask it anything about your production: it answers in plain language, cites its sources, and only shows people what they are cleared to see.
One question spans ShotGrid, the script and your DAM. Which shots used the hero prop, and is it cleared? You get the answer with versions and rights attached, not a list of places to go look.
No mystery answers. Each fact carries its source and whether a human has confirmed it. Your team can trust the answer or trace it back, either way, in the open.
When a show wraps, the people who knew it roll off. Fabric keeps the decisions, the relationships and the history searchable, so the next season starts from memory, not archaeology.
Fabric knows current from superseded, so you never act on last month's truth. And permissions are enforced inside every question: no clearance, no answer.
ShotGrid, FileMaker and Airtable connect natively, alongside DAM, Slack, git and CSV import. 300+ business systems are reachable through the connector catalog. Read-through by default: your systems of record stay authoritative, and publish-back is controlled.
Every source field maps to open OMC keys: 340 mapped fields across 14 entity types. AI suggests each mapping and your team approves it, so the model stays yours.
23 node types fuse the production world (sequences, shots, versions, assets, people, files) with the script world (scenes, cast, props, sets, locations, wardrobe and more). Duplicate entities across systems are matched and suggested, then merged only on human approval.
Retrieval is hybrid: semantic search, structured queries, keyword and knowledge-graph traversal, merged and reranked. Answers stream with citations. Permissions filter inside the query and fail closed, and every fact is labeled trusted or proposed.
Your team gets conversational answers with sources. Your agents get 23 entity tools over MCP, the open agent-connector standard, plus organizational memory: recall, remember, forget and who_knows. The same surfaces are available over REST, including Task, Version and Note sync for production-tracking round-trips.
Counts and limits below are verified against shipping code. The full capability datasheet is available on request.
No. Fabric reads through to the systems you already run and keeps them authoritative. ShotGrid stays your system of record and your DAM stays the creative front door. Fabric adds one governed layer on top: normalized to MovieLabs OMC, searchable in plain language, and queryable by agents over MCP.
In production deployments, Fabric runs in your AWS account or on your on-prem hosts, and content stays in your environment. Embeddings are computed by a locally hosted model inside the deployment environment, with no calls to external AI APIs. Optional generative features can be pinned to local models or to providers you approve.
Every fact carries provenance. Only deterministic structural facts are auto-trusted; everything AI-extracted waits for human promotion. Permissions are enforced inside every query and fail closed, so no clearance means no rows. Answers also respect time: Fabric knows current from superseded and weights recency.