AssetWatch® Tech Stack

IoT-powered predictive maintenance platform for industrial equipment

Automation Machinery Manufacturing Westerville, Ohio 51–200 employees Founded 2014 Privately Held

AssetWatch deploys condition-monitoring sensors and analytics to reduce unplanned machine downtime. The stack reveals a sales-and-support-heavy org (17 of 32 active roles) leaning on Salesforce, Outreach, and Gong—typical for a land-and-expand play in industrial—while backend infrastructure spans AWS (Lambda, ECS, Aurora, SNS/SQS) and Python. Notable tension: the tech stack includes RAG and LLM-powered workflow development, but pain points surface scaling AI systems and execution gaps, suggesting the company is still integrating AI into core product rather than shipping it at scale.

Tech Stack 56 technologies

Core StackPython RAG Salesforce Gong AWS ZoomInfo AWS Lambda CloudWatch Terraform MySQL DynamoDB Sentry Slack Jira Zoom NetSuite Zapier Airtable Vitally QuickSight GCP Outreach Chili Piper API Gateway IAM Aurora AWS SNS AWS SQS AWS ECS LinkedIn Sales Navigator+24 more

What AssetWatch® Is Building

◆Challenges

Hardware and network outages
Rapid transition to subscription
Proactive problem resolution
Trial conversion targets
Scaling ai systems
Execution gaps slowing innovation
Reducing ramp time
Churn mitigation
Expansion growth
Rapid growth at scale

▲Active Projects

Installation of assetwatch condition based monitoring solutions
Evaluation and testing of existing and new product development
Playbooks
Customer training and support
Installation planning
Trial and onboarding management
Llm-powered workflow development
Data platform architecture
Best practice operating strategies for business development team
Onboarding and everboarding programs

Hiring Activity

Accelerating30 roles · 25 in 30d

Department

Support

Sales

Engineering

Product

Finance

Marketing

Data

Ops

Seniority

Mid

Senior

Manager

Junior

Director

Company intelligence

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About AssetWatch®

AssetWatch builds condition-monitoring hardware and software for manufacturing and industrial plants. The core offering—Vero—combines vibration and temperature sensors with real-time analytics to predict equipment failures before they occur, reducing unscheduled downtime. The business model is subscription-based ($199 trials on up to 50 assets); sales and support teams drive adoption and retention. The company is privately held, founded in 2014, and operates from Westerville, Ohio with 51–200 employees. Current hiring velocity is accelerating across support, sales, and engineering, reflecting growth in both customer onboarding and product development.

HeadquartersWesterville, Ohio

Company Size51–200 employees

Founded2014

Hiring MarketsUnited States

Frequently Asked Questions

What is AssetWatch's core product?

Vero, a condition-monitoring platform that combines vibration and temperature sensors with predictive analytics to identify equipment failures before downtime occurs. Customers can trial the system for 30 days at $199 on up to 50 machine assets.

What tech stack does AssetWatch use?

Python, AWS (Lambda, ECS, Aurora, SNS, SQS), MySQL, DynamoDB, and Salesforce for CRM. Sales ops stack includes Outreach, Gong, and Chili Piper. Data platform uses QuickSight; RAG and LLM-powered workflows are in active development.

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How this profile is built

AssetWatch®'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.