Condense powered Real-Time Architecture for Software-Defined Vehicles (SDVs)

Business Context 

Software-Defined Vehicles (SDVs) have redefined what a vehicle is — not just a physical product, but a continuously evolving software platform. Modern vehicles ship with the hardware to support a wide array of capabilities, but the decision to activate, personalize, or restrict those features is now made post-sale. 

From usage-based subscriptions to behavior-driven enforcement, SDVs enable personalized services, dynamic updates, and new revenue models. Yet enabling these intelligent, real-time decisions requires more than connectivity and OTA systems. It requires an execution layer capable of responding to vehicle telemetry, user behaviour, subscription status, and regulatory policies — all while maintaining observability, consistency, and scalability across cloud, edge, and in-vehicle environments. 

Problem Statement 

While OEMs have embraced telemetry, OTA, and containerized platforms, the real-time execution of SDV service logic remains fragmented. Key challenges include: 

• High development friction in building, deploying, and iterating SDV features 

• Complex infrastructure needed for telemetry ingestion, processing, enrichment, and decision routing 

• Reliance on microservices, streaming frameworks (e.g., Kafka + Flink), schedulers, and alert systems 

• Disconnected systems for behavior scoring, subscription enforcement, and user communication 

• Difficulty maintaining observability and state consistency across cloud, edge, and in-vehicle runtimes 

As a result, even simple features (e.g., trial activation + expiry + alerting) require full backend engineering teams to manage state, logic, and system orchestration. 

Condense: A Real-Time Streaming Application Platform for SDVs 

Condense provides a vertically optimized, fully managed real-time platform to build, run, maintain and scale SDV services—without backend overhead. 

Key Capabilities

• Inbuilt SDV-focused development ecosystem: Developers build real-time service logic in Condense using prebuilt logic blocks, or write code in Python, Java, Go, or JavaScript in the integrated IDE.

• Schema-aware ingestion connectors for vehicle telemetry (CAN, OBD-II, ADAS, GPS), subscription metadata, OTA triggers, and driver behavior. 

• No-code/low-code logic blocks (merge, alert, threshold, window, join) for business teams. 

• GitOps + version control + testing support: Transforms can be branch-tested, deployed, and rolled back safely. 

• Unified platform for ingestion, processing, and triggering: No need maintain services like Kafka/Flink/Spark + APIs + schedulers + alert engines. 

• Deploy to cloud, edge, or in-vehicle based on latency, logic, or context. 

Use Case Objective: Build and Operate SDV Feature Logic 

This use case demonstrates how Condense enables: 

• Development and deployment of SDV feature logic (e.g., install, activate, score, renew) 

• Elimination of backend engineering for event processing, state handling, routing, and orchestration 

• Full real-time application lifecycle: data in → logic → action → output → observability 

Real-Time SDV Application Lifecycle on Condense 

Modern SDV applications must operate across both cloud and in-vehicle boundaries, managing everything from entitlement logic to behavioral policy enforcement. What makes this difficult is not the vehicle interface—but the orchestration of telemetry, logic, state, and output in real time. 

Condense abstracts this complexity. It provides a unified environment where teams define SDV applications as stream-native service graphs, backed by code, version control, and vertical intelligence. 

SDV applications are developed and executed using Condense—from idea to live deployment. Condense provides a vertically optimized, fully managed real-time platform to build, run, and scale SDV services—without backend overhead. Condense is not limited to application execution. It also provides the foundation for building a vehicle-wide digital service ecosystem, where logic, data, and outcomes are shared across applications and partners. 

After SDV applications are deployed, Condense enables automakers to scale their services into a cohesive, intelligent ecosystem by offering: 

Industry-Specific Transforms 

Condense comes with a library of automotive-specific transforms—prebuilt logic units that accelerate development. These include: 

• Driver behavior classification (e.g., harsh braking, over-speeding) 

• VIN-based feature mapping 

• Geo-restricted service enforcement 

• Real-time usage tracking for UBI (Usage-Based Insurance) 

• OTA update hooks for post-deployment logic flows 

These components are reusable, configurable, and production-grade eliminating the need to build core service logic from scratch. 

Multi-Service Coordination 

Because Condense operates on streaming data, multiple services can observe and act on the same telemetry streams without duplicating pipelines. For example, driving behavior data can simultaneously trigger: 

• A driver score update 

• A subscription downgrade 

• A maintenance alert 

• A fleet compliance notification 

This cross-service coordination is built into the platform, ensuring consistency and reducing operational overhead. 

Downstream Integrations 

Condense can connect with downstream systems using native connectors (Kafka, REST, MQTT, webhooks, etc.). This allows SDV applications to: 

• Notify users through mobile apps or IVI interfaces 

• Integrate with CRM or billing platforms 

• Feed real-time data to compliance or analytics engines 

• Push feature activations to in-vehicle software components 

The result is an event-driven SDV architecture that can grow horizontally without reengineering each service individually. 

Partner and Marketplace Enablement 

Condense supports a marketplace model, where service logic, APIs, or full SDV applications can be exposed to third parties. This opens doors for: 

• Tier-1 suppliers to integrate conditionally activated features 

• Insurance companies to consume driver risk profiles 

• Mobility partners to offer location-aware services 

• Developers to create modular services that plug into vehicle flows 

Each of these actors can participate in a shared ecosystem, powered by consistent event schemas, security models, and entitlement layers. 

Data Sovereignty and Deployment Flexibility 

Condense supports Bring Your Own Cloud (BYOC) deployment across major providers (AWS, Azure, GCP) or on private infrastructure. This ensures: 

• Full control over where data is stored and processed 

• Retention of IP and logic ownership by the OEM 

• Compliance with region-specific data governance rules 

In essence, manufacturers can deploy and operate their SDV ecosystem entirely on infrastructure they trust—without vendor lock-in. 

Why This Model Matters for SDVs 

Software-Defined Vehicles must respond in real time, at scale, across fleets, geographies, and service variations. But response isn't just about capturing telemetry—it's about executing logic, taking action, and doing so with full visibility and safety. 

Condense enables SDV teams to build logic that behaves like code, but runs like infrastructure. By turning every telemetry event into a programmable object—and every rule into a deployable stream transform—Condense gives OEMs a way to deliver features that are dynamic, intelligent, and operations-friendly. 

From initial feature provisioning to usage monitoring, behavior scoring, plan enforcement, and renewal workflows, every step of the SDV lifecycle is represented and operated in-stream. There is no backend to maintain. No orchestration to wire. No batch process to reconcile. Just real-time, declarative application logic—designed once, deployed safely, and observed clearly.  

From trial activation to scoring, expiry to renewal, and policy enforcement to output triggering—every part of the SDV lifecycle is executed live in-stream.