Capabilities

Time-series and tick-data

Capture, normalization, and storage of high-velocity market data across billions of events. We build on kdb+/q with hot/cold zoning by access frequency, end-of-day and index optimization, pre-session processing, and custom multi-channel feed handlers. The design targets low total cost of ownership and post-close availability measured in minutes, not hours.

• kdb+/q realtime and historical stores with hot/cold tiering.
• Custom multi-channel feed handlers for proprietary and industry feeds.
• Advance index creation and end-of-day optimization for fast historical access.
• Flexible migration APIs and knowledge transfer to keep your team in control.

Low-latency processing

Deterministic, sub-millisecond processing for trading and risk. Event-driven architectures in C/C++ engineered for throughput on minimal infrastructure, with CUDA where workloads parallelize, and FIX adapters and Kafka for transport. We have built pipelines that sustain millions of events per second.

• C/C++ event-driven engines tuned for deterministic latency.
• CUDA acceleration for parallelizable analytics and statistics.
• FIX adapters and Kafka for high-throughput message transport.
• Throughput in the millions of events per second on lean hardware.

Trading risk and PnL

Real-time observability of risk and profit and loss across the book. We build order-flow segmentation that surfaces hidden revenue leakage, automated circuit breakers and dynamic strategy control, and backtesting against captured tick history. Risk views integrate cleanly with legacy stacks rather than requiring a rip-and-replace.

• Live PnL, exposure, and risk observability across the trading book.
• Order-flow segmentation to expose the true profitability of flow.
• Automated circuit breakers and dynamic strategy control.
• Backtesting against captured tick-data history.

Cloud-native architecture

Cloud-native and hybrid designs on AWS, including hybrid cloud and on-prem footprints where latency, control, or cost demand it. We engineer for the operating model the business actually runs, integrating with existing infrastructure instead of bending the business to a product.

AI-accelerated SDLC

An agentic software development lifecycle runs the full process — specification, design, generation, adversarial review, test, and integration — under senior-engineer oversight at every gate. AI compounds our velocity; it never replaces our judgment. In a recent platform modernization this process produced roughly 700,000 lines of production code in two months, every line reviewed and owned by our engineers.