IoT sensor platform for real-time concrete strength monitoring and curing optimization
Converge builds embedded sensor systems and cloud platforms that measure concrete curing in real time—a traditionally opaque process tracked by manual testing. The tech stack (Bluetooth Low Energy, LoRaWAN, ARM Cortex-M, C/C++) reveals a hardware-first embedded systems company, not a software vendor. Active projects span concrete monitoring (ConcreteDNA, PrecastDNA), a broader physical intelligence platform, and material behavior characterization, suggesting expansion beyond single-sensor use cases into multi-instrument jobsite data collection.
Converge provides sensor hardware and cloud software for construction companies to monitor concrete strength and curing cycles in real time. The flagship ConcreteDNA platform pairs an embedded LoRaWAN/Bluetooth sensor (Converge Signal) with cloud data ingestion and AI-driven curing predictions, claiming up to 30% cycle optimization. The company operates across UK and US markets with a 11–50 person team structured around sales (largest department), embedded engineering, and design. Pain-point tracking reveals internal focus on sales process friction and market share expansion alongside technical roadmap work on multi-sensor integration and carbon reduction.
ConcreteDNA, a concrete data platform combining embedded LoRaWAN/Bluetooth sensors (Converge Signal) with cloud analytics and AI curing predictions to optimize concrete striking and project scheduling on construction jobsites.
Embedded systems (Bluetooth Low Energy, LoRaWAN, ARM Cortex-M, C/C++, JTAG), cloud/data (Python, TypeScript, Haskell), and operational tools (HubSpot, LabVIEW, Git).
Other companies in the same industry, closest in size