Warranty & Recall Early Detection

Monitor vehicle component failures, predict scale and severity.

Purpose-Built Detection For Connected Vehicles & SDVs

Proactive Detection and Root Cause Analysis

With Upstream for Warranty & Recall Early Detection automotive quality teams can monitor component performance and behavior, detect failures earlier and prioritize issues.

Monitor Vehicle Components

Identify vehicle component failure as early as possible. Leverage advanced AI and ML models to effectively analyze performance and behavior.

Predict Scale & Severity

Utilize Upstream’s Vehicle Quality Golden Triangle to predict the potential scale and severity of component failure.

Enhance Customer Satisfaction

Accelerate time to resolution for warranty and recall issues, minimizing vehicle downtime and improving customer experience.

Agentless Platform >

The Platform is agentless and cloud native enabling full lifecycle monitoring by utilizing connected vehicle data and many other data streams together without requiring in-vehicle software installation, offering monitoring and detection throughout the entire vehicle lifecycle.
Built for Automotive >

The Upstream Platform is built to handle vast amounts of unstandardized data from the entire connected vehicle ecosystem, including vehicle sensors, signals, FOTA, and command and control telematics servers.
Prioritization of Quality Issues >

The Platform’s model prioritizes issues based on Upstream’s Compound Impact Score (CIS), which considers predicted scale, safety and severity, estimated costs, OTA patching capability, and more. This enables teams to focus on the most impactful issues.
Streamline Time-to-Resolution >

The Platform takes live vehicle telemetry and DTCs to improve ML-based predictive analytics models, combining dealership and field quality data to enable targeted campaigns of OTA software updates, bolstering customer satisfaction and brand reputation, and increasing ROI with a shift-left approach to address affected vehicles.
ML-Powered Detection >

The Upstream Platform offers a robust pre-configured suite of anomaly detectors. The platform leverages automotive domain expertise to detect known anomalies, while the ML-based detection models identify unknown anomalies.
GenAI Enhanced Investigation >

The Upstream Platform leverages Ocean AI, an integral advanced data analysis layer, enabling quality engineers to investigate trends and extract insights through a conversational interface. Easily visualize trends in the data, access AI-based recaps of repair orders and technician-notes and provide leads for RCA at scale.
Vehicle and Component Digital Twins >

The digital twin capability allows teams to trace root causes across fleets or specific models, using detailed data such as VIN, production codes, ECU software versions, telemetry, and DTCs. This enables proactive monitoring and provides insights into emerging issues.
Automotive Focused Data Normalization and Cleansing >

The Upstream Platform ingests and processes live vehicle data, including telematics, DTCs, OTAs, claims, repair orders, and more. The Platform ensures this data is cleansed and normalized while maintaining strict PII protection for compliance and privacy.

Upstream’s Warranty & Recall Early Detection empowers automotive quality teams to monitor component performance and behavior, detect failures earlier, predict scale and severity, prioritize issues, and assist quality engineers and forensic experts with Root Cause Analysis (RCA).

Effective Issue Response with Integrated Workflows

The Upstream Platform analyzes vehicle data in real-time, detects potential quality issues, automatically categorizes them for severity and impact, and provides relevant parties with alerts or triggers specific predefined workflows. The Upstream Platform can also be integrated with existing organizational data platforms to provide a comprehensive vehicle quality monitoring solution.

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