KX wins a-team insight’s AI in capital markets award for best AI solution in high-performance data processing

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KX

We’re pleased to share that KX has been named the Best AI Solution for High-Performance Data Processing at the A-Team Insight’s AI in Capital Markets Awards. These awards recognize AI-driven data and technology solutions that deliver measurable value to financial firms, reflecting the growing role of advanced infrastructure in improving efficiency, compliance, and supporting sustainable growth in capital markets.

“This award is a testament to our long-standing commitment to solving the most complex data challenges in capital markets,” said Ashok Reddy, CEO of KX. “As AI becomes increasingly central to how firms manage risk, optimize trading strategies, and ensure compliance, firms need infrastructure that can act and respond to volatile markets in real time. KX is proud to deliver the speed, precision, and intelligence that enable financial organizations to move from insight to action confidently.”

The infrastructure behind real time AI

In capital markets, every data point arrives with a half-life. Firms process billions of ticks, orders, and reference updates each day — plus unstructured sources such as earnings call transcripts, regulatory filings, market news, and trader chat or voice data. Any delay in handling them erodes alpha, distorts model signals, or introduces execution slippage. Traditional data stacks weren’t built to manage both structured and unstructured data at this velocity: they batch, buffer, and transform before analysis, adding milliseconds of latency that break price–time priority and slow research. As data volumes surge and workloads scale, these architectures buckle under I/O and memory overhead — one reason so many AI initiatives stall in pilot and never reach production.

What high-performance data processing demands

Overcoming these challenges requires systems purpose-built for continuous, high-volume analysis in live markets. That means infrastructure designed for scale, precision, and adaptability.

  • Petabyte-scale throughput — The ability to ingest, process, and query massive time-series datasets in real time, ensuring data remains current and complete even during peak trading or volatility events.
  • Nanosecond precision — Temporal accuracy that preserves the exact sequence of market events, critical for order-book reconstruction, model training, signal detection, and risk replay.
  • Unified handling of streaming and historical data — True context awareness by correlating live feeds with years of historical data in a single environment, so models can reason over time rather than in isolated snapshots.
  • Low-latency response — Analysis and action that occur as events unfold, enabling faster, more informed decisions in environments where milliseconds mean margin.
  • Scalable, drag-free architecture — Performance that stays consistent as workloads grow. No redundant pipelines, no excessive data reshaping — just efficient compute that scales linearly without re-engineering.
  • Native support for structured and unstructured data — Integration of tick data, trades, filings, transcripts, and sentiment sources within one time-aware framework, eliminating the latency and inconsistency of multi-system lookups.

These are the foundations of real-time AI in capital markets, infrastructure that keeps pace with volatility, maintains integrity at scale, and turns the flow of market data into a continuous feedback loop for smarter, faster decisions.

What sets KX apart

Most data platforms can store fast data; few can think in time. KX was engineered from the start for the realities of capital markets with kdb+, the world’s fastest time-series database. This is now extended through KDB-X, our next-generation unified data platform built on the same high-performance compute engine but designed for accessibility, extensibility, and AI readiness. Key differentiators include:

  • Unmatched performance: We deliver the speed and precision required to process petabyte-scale datasets in real time. Customers across capital markets have reported 10–100x faster query performance compared to traditional systems, transforming how quickly they can extract and act on insight.
  • Unified engine for all data:Structured and unstructured, historical and streaming — all processed in one environment. We eliminate the hand-offs, ETL delays, and data silos that slow model development and risk decision-making.
  • Temporal intelligence: We combine AI with time-series technology to create what we call temporal intelligence, the ability to understand how events unfold over time, not just in the moment. With nanosecond-level precision, firms can analyze relationships between signals, identify evolving patterns, and make faster, more informed decisions as market conditions shift.
  • GPU-accelerated performance: When integrated with NVIDIA’s AI Enterprise stack, our technology accelerates training, inference, and vector operations, scaling AI workloads without sacrificing determinism or control.
  • Proven at scale: KX powers mission-critical systems for global banks, hedge funds, and exchanges, delivering millisecond-level insights across high-frequency trading, real-time risk management, market surveillance, and trade lifecycle analysis. With more than three decades of adoption across the world’s largest financial institutions, we continue to support the most demanding, performance-sensitive infrastructures in the industry.

This combination of temporal awareness, unified data, and extreme performance forms the backbone of real-time AI in capital markets — helping firms move from experimentation to execution, and from faster insight to first-mover advantage.

Better infrastructure for faster insight and action

The A-Team Insight award reinforces our role as a trusted analytics partner in capital markets, powering research, modeling, and real-time decision-making across trading desks, quant teams, and market data platforms. Discover why firms are choosing us to solve their real-time data challenges and scale their AI use cases.

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