Upstream provides Proactive Quality Detection App for Connected vehicle and SDV aftersales quality teams who needs to monitor and investigate quality issues, estimate scale & severity, and improve customer satisfaction.
Warranty and recall costs for connected and software-defined vehicles are major challenges for OEMs. Despite vast amounts of data collected daily, OEMs often address quality issues only after numerous consumer claims. Early detection is crucial, as delayed identification increases costs and safety risks. The complexity of connected vehicles and their supply chains, especially with the shift to SDVs, makes early detection even harder. With 250 million connected vehicles on the road and 500 expected by 2030, the need for proactive analytics to prioritize and manage warranty is growing as data volume between vehicles and AWS is projected to increase 3-5X.
Upstream offers a powerful solution for automotive after-sales quality teams, enabling them to detect and prioritize vehicle component failures earlier. The app can help estimate scale, severity, and cost, allowing for faster fixes on the manufacturing line or through OTA/SDV upgrades.
Powered by ML and AI (Bedrock), Upstream's PQD app helps Monitor, Analyze, Investigate and Prioritize quality issues to reduce warranty costs
With real-time connected car analytics, Upstream accelerates Root Cause Analysis (RCA) and automates customer outreach, ensuring swift resolution and improved customer satisfaction. With zero footprint within vehicles, quality investigation teams can ingest multi-sensorial real-time telematics, combined with diagnostics, factory and dealership Repair Orders (RO) data, stitched to S/BOM, ROs, and Warranty Claims. This allows scale through millions of live vehicle digital twins, with 3 observation vectors (Single Vehicle, Fleet, and Component).
With over 35 million connected vehicles monitored and 10s of Terabytes of data processed daily, Upstream is trusted by over a dozen global OEMs, 20 MSSPs, and more than 10 GSIs.
Highlights
Correlate Multiple Data Sources: Vehicle Telematics & Diagnostics stitched to S/BOM, ROs, and Warranty Claims.
3 Observation Vectors: Single Vehicle, Fleet, Component.
Powered by ML and AI: Monitor, Analyze, Investigate and Prioritize quality issues to reduce warranty costs.
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This listing uses a contract pricing model with one dimension: Proactive Quality Detection, billed in Units. You commit to a set quantity of units for the contract term rather than paying per hour or by metered usage. Pricing scales with the number of units you buy. There are no separate tiers, instance sizes, or add-on dimensions to compare. The platform monitors component, vehicle, and fleet performance to detect quality issues earlier. To size the right number of units for your fleet and needs, contact the vendor.
Top-of-mind questions for buyers
What does one unit of Proactive Quality Detection represent for billing purposes?
The marketplace listing bills in units under a contract, but it does not publicly define what one unit maps to, such as a vehicle, component, or data volume. The platform monitors component, vehicle, and fleet performance. To confirm how units are counted for your fleet, contact the vendor.
Is this billed upfront or metered by actual usage during the term?
You commit to a set quantity of units for the contract term. This is an upfront commitment, not pay-as-you-go or hourly metering. You pay for the committed units regardless of moment-to-moment activity. This suits continuous fleet monitoring rather than short, variable workloads.
What happens if my fleet grows beyond the units I committed to?
The listing shows one unit-based dimension with no published overage or automatic tier behavior. Pricing scales with the number of units you buy, so more coverage means committing to more units. To add units mid-term or size for growth, contact the vendor.
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