A serious quant fund, prop shop or market maker should be able to run sub-150-nanosecond infrastructure without building it from scratch. We deliver it ready to go, and faster than anything they could put together themselves.


The problem

Performance has been gated by complexity

Getting hardware tick-to-trade has usually meant hiring FPGA specialists who are hard to find, keeping custom firmware running for every venue you touch, and living with rigid, expensive vendor relationships. So the fastest infrastructure has stayed in very few hands.

Our approach

Deliver the silicon as a platform

We build the hard parts (the in-fabric feed handler, the order book, the quoting engine, the hardware risk and the TCP/IP stack) and expose them through a clean C++ API and operations GUI, so your team integrates in software while your trades execute in hardware.

What we care about

The calls we make over and over

Determinism over averages

We optimize for the worst case, not the mean. Jitter-free, predictable latency matters more than a flattering benchmark number.

Open, not locked-in

Your strategy is yours. Deploy HLS cores or your own SystemVerilog, run on standard Xilinx/AMD cards, and keep control of your IP.

Safety in the fabric

Risk isn't bolted on. Hardware-enforced pre-trade controls and Mass Quote Cancellation are first-class parts of the pipeline.

Prove before production

Every strategy is validated against captured market data in a deterministic backtest and a two-machine in-hardware harness.

Scale without rewrites

The same architecture runs one symbol or a full rack. Add cards and servers; the model scales horizontally.

Engineers talk to engineers

No layers of sales abstraction. When you have a latency question, you talk to the people who built the pipeline.

<150 ns
Deterministic wire-to-trade
100%
Critical path in silicon
10/40 GbE
Networking
Horizontal scale per rack

Looking for a partner for the long haul?

If you're weighing up who to build your low-latency stack with over the next few years, we'd be glad to talk it through.