InnoMat.AI is transforming how inspection gets done in the real world — bringing intelligence, automation, and expert guidance to every step of the process. From factories to construction sites, our AI-powered platform equips engineers and field teams with real-time insights, voice-guided workflows, predictive issue detection, and seamless collaboration. No more missed defects, no more disconnected tools — just smarter, faster, and safer inspection from day one.
Unlock operational excellence with AI-powered inspection and maintenance tools that streamline every task, capture every detail, and turn frontline activity into strategic insight. InnoMat.AI helps your team stay ahead of failures, reduce downtime, and close the loop between on-site execution and enterprise intelligence — all in one connected platform.
Empower your team with AI-driven insights that assess risk, monitor integrity, and flag issues before they become costly failures. InnoMat.AI simulates load conditions, analyzes inspection data, and uncovers hidden patterns — so you can act with confidence, not just react under pressure.
Charlie Sun
CEO
Please reach us at Founders@innomatai.com if you cannot find an answer to your question.
InnoMat.AI is an AI-powered inspection and workflow platform designed to help R&D, QA, and field teams manage and optimize inspections, maintenance, and performance monitoring — all in real-time.
Engineers, inspectors, and operations leaders in manufacturing, construction, and infrastructure who want to improve accuracy, speed, and traceability in their inspection and maintenance workflows.
We use AI to analyze inspection data, voice notes, and images to detect early signs of failure. Our platform also offers predictive insights based on historical and real-time inputs, helping teams act before issues escalate.
Yes. The platform provides checklist-driven workflows, voice-guided steps, safety prompts, and documentation tools — all tailored for workers in the field.
We’re built on AWS/Azure or your private cloud, which means seamless integration with enterprise systems, cloud services, and custom APIs. We’re also developing features to work directly with CAD files, IoT sensors, and mobile devices.
Expect insights like defect trends, performance deviations, failure likelihood, and task completion analytics — all accessible via dashboards and reports for decision-makers.
Users define sourcing needs (e.g., material, region, volume, certifications), and our engine recommends matched, vetted suppliers. In the future, we’ll support smart contracts, real-time availability, and ESG filters.
InnoMat.AI is an embedded startup at Northeastern University, supported by the Washington Small Business Development Center (SBDC) hosted by Washington State University and backed by the U.S. Small Business Administration (SBA). We are also a participant in the University of Washington’s NSF I-Corps program and part of the Microsoft for Startups ecosystem. Our multidisciplinary team brings together deep expertise in mechanical engineering, artificial intelligence, and scalable cloud systems — at the intersection of research, innovation, and real-world impact.
We’re onboarding early users for beta testing. Contact us at founders@innomatai.com to request access or schedule a demo.
225 Terry Avenue North, Seattle, WA, USA
LinkedIn: <<https://www.linkedin.com/in/charlie-sun-6688smw/<<
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