Tenna builds a connected fleet-management platform for construction contractors, integrating equipment tracking with field-to-office workflows. The tech stack (React, Node.js, .NET, AWS, Salesforce) and active projects reveal a company transitioning from asset tracking toward data-driven operations: they're building telematics programs, usage-based insurance models, IoT data ingestion pipelines, and ML training infrastructure while managing content and learning-system customization. Sales hiring (5 roles) outpaces engineering (3), indicating a scaling go-to-market motion alongside platform consolidation.
Tenna provides a fleet-management platform designed for construction contractors managing mixed equipment fleets. The product connects equipment tracking with operational workflows across field, shop, and office environments. Founded in 2015 and based in New Hope, Pennsylvania, Tenna operates as a privately held company with 51–200 employees. The platform integrates telematics data, learning content management, and operational intelligence to help contractors optimize productivity and reduce costs. Current hiring focuses on sales and leadership roles, with active development on IoT data architecture, insurance models, and API systems to support growth.
Tenna's stack includes React and TypeScript for frontend, Node.js and .NET for backend services, AWS (including EKS for orchestration), Salesforce Sales Cloud and Agentforce for CRM, and Python for data/ML work.
Active projects include IoT data ingestion and distribution architecture, AI/ML model training pipelines, a telematics discount program, usage-based insurance models, data APIs, and microservices evolution to reduce technical debt.
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Tenna'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.