IoT-based predictive maintenance platform for manufacturing equipment monitoring
AssetWatch deploys condition-monitoring hardware and software to predict machine failures before they happen. The stack reveals a sales-and-data-driven operation: Salesforce, Outreach, Gong, and Vitally sit alongside AWS infrastructure (Lambda, Glue, Step Functions) and BI tools (QuickSight, Tableau, Power BI), suggesting they're automating both customer engagement and internal analytics. Engineering is the largest hiring focus, paired with active projects around expanding sensing modalities (ultrasonic, oil analysis) and AI prototyping—signals of product expansion beyond vibration-only monitoring.
Notable leadership hires: Sales Director
AssetWatch builds IoT sensors and cloud software that monitor industrial equipment health in real time and alert operators to failure risk before downtime occurs. Founded in 2014 and based in Westerville, Ohio, the company serves manufacturers and asset-heavy operations across North America. Their flagship product, Vero, is a plug-and-play condition-monitoring system installed with same-day expert setup. The business operates as a blend of hardware sales (sensors, gateways) and SaaS subscriptions (monitoring platform, analytics dashboards). Current scaling efforts center on broadening their sensing toolkit beyond vibration analysis, improving customer retention, and addressing internal operational friction around data quality and billing.
Sales and customer engagement: Salesforce, Outreach, Gong, Vitally. Cloud infrastructure: AWS (Lambda, Glue, Step Functions). Analytics: QuickSight, Tableau, Power BI. Development: Python, React, MATLAB, Jira, Bitbucket. The mix reflects a sales-led, data-instrumented organization.
Expanding condition monitoring beyond vibration to include ultrasonic and oil analysis; AI assistant prototyping; new cloud application features; customer onboarding and success processes; and internal dashboards for pipeline and business review visibility.
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