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Making sense of sensor data
Founded 2016
Industrial & ManufacturingTelecommunications
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Making sense of sensor data
Enables engineering teams designing and building new products in Automotive, Aerospace, Energy and other manufacturing segments analyze and build “Big Physics” based predictive models improve manufacturing quality and reduce new product time to market.
Eric Newman
founder
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Engineers in manufacturing product development are being asked to create breakthrough technologies like EVs, autonomous vehicles and molten salt nuclear reactors in half the time and with quality improvements that minimizes risk of expensive product recalls. To accomplish this engineering teams must virtualize their design, prototyping and validation processes by tapping into predictive machine learning modeling techniques to increase scale and accelerate their processes.
$1.7m software ARR 12+ blue-chip software customers including Daimler, Ford, GM, NASA, Stryker Medical Very low churn rate Increasing market adoption of AI/ML for engineering
Viviota's TTI software has traditionally been an edge-based product in alignment with customer requirements. Released a cloud version of the software to meet our market's growing demand for hybrid edge-to-cloud deployments for their global engineering organizations.