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Condense is a full-stack real-time data streaming platform for connecting operational data, processing events, building real-time applications, and running them at production scale. Built on Apache Kafka, Condense combines managed streaming infrastructure, data integration, stream processing, application runtime, deployment, observability, and domain-specific intelligence in a unified platform. It enables organizations to move from streaming data infrastructure to production-ready real-time applications without assembling and operating each layer independently.
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Condense brings the major capabilities required for real-time application development and operation into a single platform. At its foundation is a managed streaming backbone based on Kafka. Around that backbone, Condense provides data connectors, stream-processing capabilities, application execution, deployment, observability, and operational management. The platform can therefore be viewed as two closely integrated domains:
This architecture removes the need to treat streaming infrastructure and the applications operating on that infrastructure as completely separate platforms.

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Let’s understand what Condense is solving

The adoption of real-time data has solved one part of the problem: organizations can now capture and move continuously generated events from vehicles, devices, applications, databases, and enterprise systems. However, turning those events into production-ready real-time applications still requires multiple independent technologies and operational layers. Teams typically have to integrate streaming infrastructure, connectors, stream-processing frameworks, application runtimes, deployment infrastructure, scaling mechanisms, observability, security, and domain-specific processing. Each layer introduces its own configuration, development model, operational requirements, and expertise, while the integration between them adds further complexity. The problem becomes more significant as real-time applications move beyond simply consuming events and begin performing continuous processing and operational actions. A streaming platform can transport an event, but the application still needs to determine how that event should be transformed, enriched, correlated, interpreted, and used. These requirements also vary by domain. Vehicle telemetry, for example, may need to be converted into trips, geofences, vehicle-health indicators, or fleet events, while industrial, logistics, energy, or other operational systems require their own domain-specific processing. As a result, organizations often have to solve two problems independently: building the technology foundation required to run real-time applications and building the domain capabilities required to derive value from real-time data. The resulting architecture is fragmented across infrastructure, applications, and specialized domain systems, increasing development effort and operational complexity. Condense addresses this gap by bringing the capabilities required to connect data, manage streaming, process events, run applications, and operate them in production into a common platform, while providing an ecosystem through which specialized domain capabilities can operate on the same real-time foundation.