Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.

Sibos 2026 was a week about the network. For me, the most important number of the week was about the…

Key takeaway Reported consumer fraud losses reached $15.9 billion in 2025, up nearly 430% since 2020. The biggest losses come…

Fraud losses keep rising despite record investment in detection, because in most financial services stacks the systems that hold state,…

Why “how many transactions per second?” is the wrong first question, and what real-world PoC data tells us about VoltDB…

I spent the best part of a decade building online charging systems before I joined Volt, and I'll let you…

FinovateFall wrapped in New York last week: three days, dozens of live demos, and an agenda dominated by AI in…

In June, in the middle of the World Cup, Jai Rajaraman of Ocient and I presented a webinar with STL…

The gap nobody budgets for Financial services has never been better at detecting fraud. Models are accurate, scores arrive in…

In the first part of this series, I argued that Databricks and Snowflake are not walking away from Apache Kafka.…

Introducing the Volt Active Data Developer Hub – three guided paths for Kafka, SQL, and AI-agent builders, a browser sandbox…

If you work in network operations, financial services, or any environment running at enterprise scale, you have invested heavily in…

Apache Kafka is not going anywhere. That needs to be said plainly before anything else, because the headlines coming out…
Volt is the real-time decisioning layer for mission-critical systems, ensuring decisions are made and enforced immediately against accurate state, even under sustained load.
If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.
Your applications are about to get a whole lot better.