Overview
Viaduct analyzes connected vehicle data through a cloud platform powered by its patented TSI Engine. It uses AI to automatically process large data volumes to identify patterns and predict issues with vehicle components. Its applications include predictive maintenance, driver identification, and driver safety scoring for automotive manufacturers and other automotive ecosystem players. Practically, the TSI Engine ingests telematics and vehicle data, runs machine learning models in the cloud, and outputs insights and risk assessments that help schedule maintenance and improve safety. Viaduct differentiates itself with a patented engine and a cloud-based data analytics platform focused on connected vehicles, combining predictive maintenance with driver-related analytics. The company’s goal is to improve vehicle reliability and safety by turning data into actionable insights through machine learning and data analytics.
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Simplify's take
What believers are saying
- Viaduct launched AI repair guidance at IMTS 2026, targeting manufacturers with immediate workflow savings.
- Sumitomo said North American fleet predictive-maintenance rollout began in October 2025.
- September 2026 product updates cite increased investment in product, engineering, data science, and customer success.
What critics are saying
- Viaduct now depends on Sumitomo Rubber after the October 1, 2025 acquisition.
- A failed SRI integration or Japan-first strategy can bury Viaduct inside Sumitomo's tire business.
- No public customer moat exists beyond automotive and fleets; platform commoditization can erase pricing power.
What makes Viaduct unique
- Patented TSI Engine analyzes connected-vehicle and manufacturing time-series data faster than generic BI tools.
- Sumitomo Rubber acquired Viaduct on October 1, 2025, giving it tire-manufacturing distribution.
- September 10, 2026 self-service automation and ViaDuck broaden adoption beyond specialist analysts.
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