Neural Fabric for
Real-time
Infrastructure.

Leapfrog streaming infrastructure for the AI era. sub-millisecond latency. Built in Rust by and for engineers who care about every microsecond.

From the creators ofApache Iggy
Agent Infrastructure

One spike breaks
the whole chain.

The latency tail doesn't just slow AI pipelines, it cascades. A p99 event at step 2 becomes a full stall at step 4. LaserData is built to eliminate the tail, not average it away.

Learn more

Multi-agent latency chain

p99 tail latency ripples through every downstream step

0.ms
Latency

Every Millisecond Counts.

In distributed systems, latency compounds. Every service call, every hop, every layer adds up. When your message streaming infrastructure runs at sub-millisecond P99, the entire stack gets faster.

< 1ms
P99 latency
1M+
Messages/s per node
Zero
GC pauses, ever
4
Native protocols
Application logic
Serialization
Network hop
Message streaming
< 1ms
Network hop
Deserialization
Consumer processing

The thinner the bar, the less latency your infrastructure adds.

Performance

Benchmarked. Not Estimated.

Real numbers from Apache Iggy. Not synthetic estimates.

1M+msg/s
Throughput
+1 GB/s send · +3 GB/s poll
1.01ms
Avg latency
2.05ms
P99 latency
Producer
Consumer
40M messages
ms
3.0
2.5
2.0
1.5
1.0
0.5
0.0
AVGP99
01020304050607080 sec
Latency breakdown (ms)
PercentileProducerConsumer
Avg1.011.19
Median0.841.07
P951.821.98
P992.052.26
P99.92.292.57
Machine: AWS i3en.3xlarge · Intel Xeon Platinum 8259CL @ 2.50GHz
Technology

Engineered for Precision.
Built for Raw Throughput.

Apache Iggy doesn't bolt performance onto an existing runtime. Every layer is purpose-built in Rust to make the most of modern hardware, from a 2-core VM to a 128-core bare-metal beast.

io_uring

Kernel-level async I/O. No syscall overhead, no context switches. Batched operations completed asynchronously by the kernel.

Thread-per-Core

Shared-nothing architecture. Each core owns its data. No locks, no contention. Linear scalability with core count.

Zero-Copy Deserialization

Messages read directly from binary buffers. No parsing, no allocation. Data flows from disk to network with minimal CPU.

No Garbage Collection

Rust’s ownership model. Memory safety at compile time. No GC pauses, no stop-the-world. Predictable at every percentile.

Persistent Append-Only Log

Write-optimized storage with configurable retention. Consumer groups, partitioning, and flexible offset management.

Runs on Anything

A single 2 vCPU node can handle serious workloads. Runs on bare metal, VMs, containers, or cloud instances.

And here’s the receipt

Designed for hardware as it ships in 2026, not 2010.

Storage

Page cache · fsync gambles

NVMe · parallel queues

~1 msP99 latency

Built for NVMe from day one. Sequential append-only writes, parallel across hardware queues. Modern SSDs are the floor we design for, not an upgrade we hope to exploit.

Parallelism

4–8 cores

64–128 cores

20×more cores

Thread-per-core pins one thread to one CPU. Scales linearly, no lock contention.

I/O Model

epoll · readiness

io_uring · completion

0syscalls per I/O

Shared ring buffers between user and kernel eliminate syscall overhead entirely.

Runtime

JVM + GC pauses

Rust · zero-cost

ZeroGC pauses, ever

Rust's ownership model gives memory safety at compile time. No garbage collector at runtime.

Developer Experience

Fits Your Stack.

Fluent builder API, async stream iterators, automatic batching.
4 native protocols. 6 official SDKs. Connect from any language.

TCPQUICHTTPWebSocket
crates.io
producer.rs
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10
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let producer = client
    .producer("ml-pipeline", "embeddings")?
    .direct(DirectConfig::builder()
        .batch_length(1000).build())
    .partitioning(Partitioning::balanced())
    .build();
producer.init().await?;

let msg = IggyMessage::from_str("[0.12,0.87,0.45]")?;
producer.send(vec![msg]).await?;

consumer.rs
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let mut consumer = client
    .consumer_group(
        "gpu-workers", "ml-pipeline", "embeddings"
    )?
    .auto_commit(AutoCommit::When(PollingMessages))
    .polling_strategy(PollingStrategy::next())
    .build();

consumer.init().await?;

while let Some(msg) = consumer.next().await {
    process(&msg?.message.payload).await?;
}

Connectors Runtime

Natively compiled Rust source and sink plugins. No JVM, minimal memory footprint.

PostgreSQLElasticsearchApache IcebergQuickwitMongoDBInfluxDBHTTPstdoutRandomPostgreSQLElasticsearchApache IcebergQuickwitMongoDBInfluxDBHTTPstdoutRandom
Console

One Console.
Everything You Need.

Manage your entire organization: environments, deployments, credentials, access rules, and real-time observability. Provision deployments, configure VPC peering, and scale infrastructure from a single pane of glass.

Tenant/Division/Environment/Deployment· hierarchical RBAC, scoped per environment
laserdata.cloud
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
LaserData Console: fully managed web UI for organizations, environments, deployments, observability, and infrastructure management
01
09
CLI

One Binary.
Two Modes.

laser drives the entire control plane from your terminal. Headless for scripts, CI, and pipes. Full-screen TUI dashboard for interactive work.

Plus an official Claude Code skill pack for plain-language ops.

Install
$ curl -fsSL https://cli.laserdata.cloud/install.sh | sh
Add Claude Code skills
$ curl -fsSL https://cli.laserdata.cloud/claude.sh | sh
Headless$ laser
laser CLI help tree showing auth, resources, and tools commands

One-shot verbs for scripts, pipes, and CI.

Interactive TUI$ laser tui
laser TUI deployment metrics dashboard with CPU, memory, and disk panels

Full-screen TUI dashboard with command palette.

Claude Code skillsDrive laser with plain language
/laser-onboard/laser-deploy/laser-config/laser-troubleshoot/laser-snapshot/laser-backup/laser-access/laser-credentials/laser-channel/laser-iam/laser-audit/laser-billing/laser-context/laser-debug
Security

Laser-Tight Security.
Secure by Design.

Pull-only architecture. The Warden agent on every node only connects outbound. The control plane never reaches in. No inbound ports, no vendor backdoor, no path from our cloud to your data plane.

Zero Vendor Access

Pull-only control plane. We can't touch your data.

End-to-End Encryption

TLS 1.3 in transit, AES-256 at rest. No exceptions.

Dedicated Isolation

Your own VMs, NVMe, and network, never shared.

Deployment

Your Infrastructure.
Our Precision.

01

Managed

Dedicated VMs, full isolation, NVMe or Network Drive. VPC peering and PrivateLink available.

Google Cloud
02

Bring Your Own Cloud

Your cloud account, our management. Keep your existing discounts and full data sovereignty. Zero cross-network transfer costs.

03Enterprise

On-Premise

Any infrastructure. Bare metal, private cloud, VMs. Same Warden agent, same isolation guarantees, same APIs.

Same APIs, same Console, same Warden agent everywhere.
Dedicated VM isolation at every price point. No shared infrastructure.

What's New
Coming soon

Viewstamped Replication

We're building Viewstamped Replication, a quorum-based state-machine replication protocol, directly into Apache Iggy. Quorum-acknowledged writes, deterministic primary selection, and a recovery protocol whose durability comes from the replicated quorum, not local disk.

ReplicateAcknowledgeCommit
N1
Replica
N2
Leader
N3
Replica

Leader replicates → quorum acknowledges → leader commits

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