Give AI The State That Was Actually True.

Ingest Kafka, CDC, and SaaS events into temporal context. Agents query current state, historical state, and deltas — without replaying hundreds of events.

Query A Moment Explore Platform

Current · historical · delta
Freshness + evidence
Point-in-time snapshots

Axis

Many dimensions. One entity.

Plan, access, payment, risk, lifecycle, owner, region — axes move independently as the business changes.

River

Events keep them moving.

Webhooks, CDC, Kafka, and app events become ordered, deduped, conflict-resolved state.

For AI

State is what models read.

Not a warehouse, feature store, or ETL. Answer: at this moment, what should the agent believe?

How it works

Events in. Temporal context out.

Connect sources — Stripe, Postgres CDC, Salesforce, Kafka, webhooks.
Publish a state model — allowed values, priority, freshness, conflict rules.
Query any moment — NOW, THEN, CHANGE, or subscribe to axes.

See Platform

state.at("workspace_8291", "2026-08-14T14:32:09Z")
→ {
  access: "grace_period",
  payment: "failed",
  risk: "medium",
  evidence: ["evt_937421"]
}

Built for

Agents that need facts, not event archaeology.

Enterprise copilots

Ground answers in the subscription and access state that was true when the ticket opened.

Risk & fraud AI

Replay decisions against corrected history without inventing a new past.

Support automation

Ship the smallest state packet that still resolves billing and access cases.

Real-time AI apps

Subscribe to axes and keep agent context fresh under explicit TTLs.

Try it

Query a sample moment in under a minute.

Demo state is isolated. No production wiring required.

Query A Moment