Viviota

Based in Austin, Texas, Viviota operates as a specialized software provider focused on engineering data analytics for manufacturing-intensive sectors. The company was established in 2016 by a team of data experts from NI (formerly National Instruments), including Barry Hutt, Patricia Friar, and Darren Schmidt. This founding group identified a growing challenge in how engineering teams managed the escalating volume of data from edge environments, which spurred the creation of Viviota. Barry Hutt, now Chief Revenue Officer, brought decades of experience from roles at NI, Dell, and IBM, where he focused on accelerating time-to-market for large corporations. Eric Newman, a technology startup veteran with over 25 years of experience in data management and analytics, joined as CEO in January 2019 to spearhead the company's expansion. His background includes leading product introductions and scaling marketing and sales processes for early-stage companies. Viviota's business centers on its Time-to-Insight (TTI) software suite, which is designed to manage complex engineering sensor data and automate analytics. This platform addresses the needs of Global 500 clients in the automotive, aerospace, semiconductor, advanced medical device, and energy industries. The company's revenue model is based on selling this enterprise software, which helps clients reduce product development cycles and costs by streamlining time-consuming data management tasks. Viviota has secured an undisclosed amount in a Series A funding round in July 2019, led by Dallas Venture Capital (formerly Naya Ventures) and supported by Capital Factory, to scale its operations and further invest in R&D. The core product, Viviota Time-to-Insight (TTI), offers several modules. TTI Analytics Studio provides a platform for analyzing large volumes of sensor data to identify key events and power AI/ML models. TTI Repository serves as a centralized platform for global engineering teams to manage and share data, analytics code, and AI/ML models, deployable on-premise, in the cloud, or in a hybrid environment. Another specialized product, TTI Safety, automates the analysis and reporting for vehicle crash test data. The software integrates with standard engineering tools like MATLAB, LabVIEW, and Python, allowing engineers to correlate data from various sources efficiently. This approach has enabled customers to cut engineering analytics processing times by as much as 90%. Keywords: engineering data analytics, data management software, time-to-insight, sensor data, automotive industry, aerospace industry, digital transformation, big physics data, edge computing, analytics automation