IoT sensors and cloud platform for real-time concrete monitoring on jobsites
Giatec builds wireless sensor systems and cloud software that give contractors and concrete producers live visibility into concrete curing and performance. The tech stack—Python, Java, C#, TensorFlow, Keras, MQTT—reflects a hardware-software hybrid approach, while active projects signal a company in transition: ML models for concrete optimization and agentic AI for workflow orchestration sit alongside classic sales infrastructure (nurture programs, outbound campaigns). Hiring is accelerating but sparse (9 open roles, sales-heavy) and pain points center on pipeline growth and market expansion, suggesting a product-market fit scaling phase.
Giatec develops IoT-based monitoring systems for the concrete construction industry. The core offering pairs wireless sensors deployed on jobsites with a cloud platform that tracks temperature, humidity, and strength in real time, enabling contractors to optimize curing schedules and reduce delays. The company also provides non-destructive testing tools for infrastructure condition assessment and durability analysis, serving both ready-mix producers (who use the platform to refine mix designs) and civil engineers managing maintenance workflows. Founded in 2010 and headquartered in Ottawa, Giatec operates as a privately held company with 51–200 employees, currently scaling sales and engineering capacity.
Giatec uses Python, Java, C#, JavaScript/TypeScript, and Linux for backend systems; TensorFlow and Keras for ML models; MQTT and AMQP for IoT messaging; Salesforce for CRM; and Microsoft Azure (AD, Entra ID) for identity. GitHub Copilot and Gong appear in recent tooling.
Active projects include cloud-integrated IoT edge software, ML models for concrete performance optimization, agentic AI systems for workflow orchestration, and data pipelines linking distributed IoT systems to enterprise platforms. Sales efforts focus on nurture campaigns and outbound outreach to construction industry buyers.
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