FPGA-Accelerated Quant Infrastructure

Ultra-low-latency trading systems for hedge funds, HFT desks and institutional investors.

Explore Platform

About CircuitQuant

CircuitQuant builds hardware-accelerated trading infrastructure using custom FPGA pipelines, deterministic execution paths and tightly integrated quant models.

Our systems deliver stable sub-microsecond performance across:

FPGA Acceleration in Action

FPGA pipelines turn sequential CPU workflows into truly parallel signal processing. The animation below shows a single CPU pulse versus multiple FPGA pulses operating across lanes.

CPU (Serial Processing)
FPGA (Parallel Processing)

Why FPGA Acceleration?

Deterministic Latency

Consistent, predictable timing at nanosecond scale, with jitter heavily reduced versus CPU.

Hardware-Level Speed

Critical paths bypass OS overhead and execute directly in silicon for maximum speed.

Massive Parallelism

Strategies, feeds and risk checks run side-by-side instead of queueing behind each other.

In modern electronic markets, hardware is the edge. CircuitQuant exists to make that edge accessible to funds beyond the top handful of HFT firms.

Platform Capabilities

FPGA Pipeline

Custom pipelines for market-data handling, order routing, risk filters and signal paths.

Quant Engine

FPGA-aware quant logic that couples hardware speed with statistically robust models.

Execution Fabric

Low-latency execution gateway tuned for equities, futures, options and digital assets.

Technology Stack

Monte Carlo Simulation – CPU vs FPGA

Monte Carlo simulations sit at the core of pricing, VaR, xVA and scenario analysis. On CPUs, thousands of paths are processed in long sequences; on FPGAs, thousands of paths run in parallel.

The visual below illustrates randomised price paths: fewer, slower CPU paths on the left; dense, accelerated FPGA paths on the right.

CPU Monte Carlo (sequential, limited concurrency) FPGA Monte Carlo (wide parallel path engine)

Performance Metrics

These indicative metrics represent the class of performance that carefully tuned FPGA deployments can target in production trading and risk environments.

Effective Compute Throughput
0 GFLOPS
End-to-End Latency
0 ns
Parallel Data Streams
0 lanes

Founders

Damanjeet Singh

Over 25 years of enterprise engineering across government, telecom, semiconductors and financial services. Leads strategy, infrastructure design, delivery governance and risk-conscious architectures.

Japjot Singh

FPGA Engineer at AMD and MEng Electronics student at the University of Edinburgh. Specialises in low-latency Verilog pipelines, FPGA optimisation and bridging quant models with hardware execution fabrics.

Contact Us

For institutional enquiries, pilots or technical discussions:

Email: [email protected]

Office:
CircuitQuant Ltd
1 Easter Currie Place
Edinburgh EH14 5LJ
United Kingdom