---
title: "Capabilities"
description: "Sumantic's technical competencies: time-series capture and storage on kdb+/q, low-latency C/C++ processing, real-time trading risk and PnL, cloud-native architecture, and an AI-accelerated SDLC under senior oversight."
canonical_url: https://sumantic.ai/capabilities/
last_updated: 2026-06-17
---

# Capabilities

Concrete, citable competencies across the trading stack -- from tick-data capture to real-time risk -- engineered for throughput on minimal infrastructure.

## 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.

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Canonical HTML: https://sumantic.ai/capabilities/
