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 Aeron for ultra-low-latency, reliable message transport on the hottest paths — the high-performance transport now standard on bank and HFT trading desks — alongside FIX adapters and Kafka. We have built pipelines that sustain millions of events per second.

  • C/C++ event-driven engines tuned for deterministic latency.
  • Aeron for ultra-low-latency, reliable messaging (UDP and IPC) on the hottest paths.
  • FIX adapters and Kafka for high-throughput message transport.
  • Throughput in the millions of events per second on lean hardware.
  • Deployed across hybrid cloud and on-premises infrastructure — on AWS or in colocation — where latency and control demand it.

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.

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.

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