LaserData replaced our data stack in two days. Five moving parts became one client call, and our agents handled their first stream event on day one.
AI-native data infrastructure
A data backend for real-time AI agents
Store, stream, and query at the speed agents need for decisions. Replace five systems, five bills, and five failure points with one backend.
<2ms
p99 read latency
500K+
writes per second
99.97%
trailing 12-month uptime
Internal benchmarks against our production cluster, measured July 2026. Results vary by workload and region.
How LaserData works
Three primitives. One API key.
01. Store
Save agent state fast
Write with Python, TypeScript, Go, or Rust. Get acknowledgment without managing a connection pool or running schema migrations.
02. Stream
Stream changes immediately
Subscribe to updates through WebSocket or SSE. Events follow write order, with no polling, stale reads, or coordination overhead.
03. Query
Query, sort, and aggregate fast
Index data as written. Complex predicates return in under 2ms at scale, without table scans, slow full-text fallback, or a separate search tier.
Replace five stitched systems
Each added system brings another bill, SLA, and alert to triage.
The stitched stack
Separate cache for hot reads
Message queue for agent fanout
Relational database for persistence
Vector store for semantic retrieval
Five teams, five on-call rotations
LaserData
Low-latency reads and writes
Real-time streaming built in
Indexed queries at scale
One model for every access pattern
One API, one bill, one SLA
Pricing scales with you
Start free without a credit card. Upgrade when needed.
Early access feedback
From engineers in our pilot program.
The streaming primitives made the switch worthwhile. Our agents now respond to state changes in under 10ms end-to-end, a profile we could not reach before.
Build with LaserData
Free tier, no credit card. Generate your first API key in 30 seconds.