New Capabilities Extend Viaduct's Manufacturing Intelligence Platform to Help Customers Realize More Value From Their Data and Deliver Better Outcomes
SUNNYVALE, CA / ACCESS Newswire / September 10, 2026 / Today, Viaduct, a Sumitomo Rubber Industries company, announced new AI-powered self-service and automation capabilities within its existing platform, providing users with easier ways to manage their operations, drive greater efficiency, and resolve issues quicker. The launch marks the one year anniversary of Viaduct's acquisition by SRI. The past year has brought increased investment in the company's product, engineering, data science, and customer success teams.
The latest features extend the company's purpose-built AI workflows and real-time data access capabilities so manufacturing teams are spending less time on manual work and more time proactively managing their operations.
"Every organization we talk to is dealing with the same issue: Manufacturing data is complex and growing faster than teams can effectively manage while legacy tools and manual processes are not able to meet the needs of the business," said David Hallac, Founder and CEO, Viaduct. "Viaduct's latest capabilities extend our platform, giving customers a centralized place to get real-time, accurate insights to drive greater productivity, enhance quality, and decrease customer-related issues."
Accelerating insights with flexible schema
Making sound operational decisions depends on having a complete picture of a manufacturer's environment. But for most manufacturers creating a unified view with their existing systems and manual processes is difficult to achieve. Every data source needs to be integrated separately, requiring custom work and dedicated time and resources.
Viaduct's flexible schema simplifies the data onboarding process, automatically handling any data source regardless of type or complexity. With flexible schema, users can accelerate the onboarding process of new equipment and product data sources, such as work order and diagnostic trouble codes (DTCs), into the platform on their own.
With a unified view in place, users can ask Viaduct's AI assistant, ViaDuck, questions in plain language, and it provides answers about their operations in minutes, not hours or days.
Automating manual analysis with smart grouping
Manual data analysis is one of the biggest drains on frontline teams' time that could otherwise be spent getting ahead of emerging issues and trends before they become costly problems. Being reactive has a cost: Automotive warranty costs in 2024 reached roughly $58 billion globally.1
Viaduct's smart grouping capability automatically correlates any datasets, such as defects and warranty claims, to detect emerging patterns and catch potential issues before they escalate. Organizations can also build predefined smart groupings for known issues or specific events, giving teams the flexibility to group data their own way.
No matter how groupings are created, teams stay in control. With smart grouping supervision, teams have the flexibility to review, edit, and refine these groupings so they can benefit from the time savings of automation while maintaining full oversight.
Decreasing equipment downtime with AI-powered repair guidance
Equipment is the backbone of any manufacturer's operations. Industry research shows the average manufacturer loses 800 hours a year to equipment downtime, with equipment failure accounting for about 42% of that downtime.2 Without a predictable way to know when equipment will fail, downtime remains a constant, disruptive risk to a plant's operations.
With Viaduct's AI-powered repair guidance, technicians facing an equipment issue no longer have to rely on manual and time-consuming trial-and-error processes. Using Viaduct's mobile app, technicians can quickly access AI-generated diagnosis, leveraging historical repair data and trained models to surface the most appropriate course of action. By helping technicians address the root cause of an issue, this will result in decreased downtime, increased yield, and lower operational costs.
Driving customer impact
Organizations leveraging these capabilities are already seeing measurable impact.
"Since partnering with Viaduct, we've seen a real shift in how the team operates day to day. Viaduct's platform tells us where to focus our attention, and tasks that used to take hours or days now take less than five minutes. By integrating Viaduct into our operations, we have real-time visibility to better manage our business day-to-day," said a program manager from a leading manufacturer of specialty vehicles and equipment.
"At our Miyazaki tire manufacturing facility, we had not been able to make full use of past maintenance records, and investigating the causes of equipment problems and gathering the necessary information often took time. By working with Viaduct, our Miyazaki team now has real-time visibility and AI capabilities that are helping to change the way we operate. As a result, we're seeing reductions in both repair response time and time spent on analysis. We aim to make Miyazaki a model for expanding these capabilities to our plants worldwide," said a member of the Maintenance Team, Miyazaki Plant, Sumitomo Rubber Industries.
Meet Viaduct at IMTS 2026
Viaduct will be at IMTS 2026 September 14-19 at McCormick Place in Chicago where the team will demonstrate the latest capabilities of its platform. Visit Booth 237635 on Level 3 in the North Building to meet the team and see the platform in action.
About Viaduct
Viaduct provides a purpose-built AI platform for discrete manufacturers and fleet operators to improve productivity, quality, and asset performance. Founded in 2019 at the Stanford AI Laboratory, Viaduct is headquartered in Sunnyvale, California, with offices in Kobe, Japan, and Ljubljana, Slovenia. The company's patented AI models are trained on large-scale time-series manufacturing and connected asset data to detect patterns and make predictions at scale, helping manufacturing, quality, and engineering teams detect emerging issues, identify root cause, and predict failures before they become costly disruptions. Viaduct was acquired by Sumitomo Rubber Industries in 2025 and now operates as a wholly owned subsidiary. To learn more, visit www.viaduct.ai.
For more information on Viaduct, email contact@viaduct.ai.
Footnotes
1 "When warranty costs rival R&D spend: Remaking vehicle quality with AI," McKinsey & Co, June 2026, https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/when-warranty-costs-rival-r-and-d-spend-remaking-vehicle-quality-with-ai
2 "Cost of Downtime in Industrial Manufacturing," Sumitomo Drive Technologies, April 2025, https://assets.sumitomodrive.com/sites/default/files/2025-04/cost-of-downtime.pdf
SOURCE: Viaduct
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