Matterbeam

Matterbeam provides a context layer for AI agents, automatically describing connected data sources with evidence and governance so agents can answer questions accurately. It targets enterprises and data teams that deploy AI agents on production data. Unlike semantic layers that stop at the warehouse boundary, Matterbeam collects data continuously into an immutable log and streams governed views to each agent, running alongside existing stacks without ripping anything out.

Key features

• Continuously collects data into immutable log
• Profiles shape, cardinality, drift, lineage, PII
• Serves governed views per consumer
• Masks data at origin
• Filters per record
• Logs every read
• Replays data to any point in history
• Runs alongside existing stack