● 100Gbps · Zero loss · On-premises

The network data lake for high-stakes infrastructure.

Wirelake captures every packet at line rate — nanosecond precision, zero loss — and delivers structured, query-ready Parquet directly to your analytics stack.

Deployed on-premises. Data stays yours.

100Gbps Sustained line rate
<100ns Timestamp precision
Zero Packet loss
Parquet Native output

Your network generates the most valuable data in your organisation. You can't query it.

Existing packet capture tools were built to help engineers debug. They record raw traffic into proprietary formats, require specialist tooling to read, and fall apart at scale. Meanwhile, your data teams are flying blind. Wirelake is different. It decodes network traffic in real time and writes structured, Parquet-format data to your local storage — ready for DuckDB, Spark, Trino, Grafana, or any analytics tool your team already uses.

How It Works

Capture to query in one pipeline.

01

Capture

AF_XDP zero-copy capture at line rate. Per-queue threading with no packet drops, even at 100Gbps.

02

Decode

Protocol-native decoders for DNS, GTP-U/C, multicast market data, and more. Built in C for maximum throughput.

03

Store

Hive-partitioned Parquet written directly to local NVMe. Arrow-native columnar format, compatible with the entire modern data stack.

04

Query

Query with DuckDB, Spark, Trino, or Grafana — no proprietary tooling, no vendor lock-in. Your data, your tools.

AI-Native by Design

Your network data lake. Queryable by your AI.

Wirelake includes a built-in MCP (Model Context Protocol) server. This means your entire network history — every decoded packet, every flow record, every protocol event — is directly accessible to whatever LLM or AI agent your team runs. No custom integrations. No ETL pipelines. No prompt engineering around raw packet captures.

Ask questions about your network in plain language and get answers grounded in real wire data. Investigate incidents, query traffic patterns, and analyse protocol behaviour through the same AI tools your team already uses — with Wirelake's structured Parquet data as the ground truth.

Natural language queries

Ask questions about your network in plain English. Wirelake's MCP server translates intent into precise DuckDB queries over your Parquet data.

Your models, your data

Works with any MCP-compatible LLM — open source or proprietary. Your data never leaves your infrastructure.

Full history, instant answers

Query seconds of recent traffic or months of historical data with the same interface. Sub-second response on typical analytical queries.

Compatible with any MCP-enabled AI assistant or agent framework. On-premises. No cloud dependency.

See Wirelake on your infrastructure.

We work with teams to run a proof of concept on your hardware, with your traffic. No commitment, no obligation.

Get a Demo →