R&D services for wireless comms and next-gen consumer devices
Delart is an engineering services firm specializing in wireless systems design and standards development for telecom and consumer hardware. The tech stack reveals deep RF/wireless instrumentation expertise (Ansys HFSS, Keysight ADS, Cadence for circuit/layout design) paired with embedded systems tools (Python, C++, Android). Active projects cluster around EMC/ESD compliance, microphone integration, and wearable audio—suggesting heavy involvement in AR/VR and fixed wireless access products where regulatory certification and signal integrity are blocking issues for clients.
Delart provides research and engineering services to major technology companies developing wireless communications infrastructure and consumer devices. Founded in 2017, the team focuses on systems engineering, hardware design, embedded software, and standards development across Wi-Fi, Ultra-Wideband, 5G cellular, and millimeter-wave technologies. The company operates on a services model, embedding engineers into client product teams to accelerate development cycles. Current project focus spans wireless connectivity for wearables, fixed wireless access solutions, and Open-RAN cellular infrastructure, with particular depth in EMC/ESD compliance, microphone coexistence, and manufacturing integration.
Heavy emphasis on RF/analog design (Ansys HFSS, Keysight ADS, Cadence) and embedded systems (Python, C++, Android). Tools like Litepoint and Anritsu signal wireless device test expertise. This stack supports their core specialization in wireless comms standards and hardware productization.
EMC/ESD compliance for wearables, microphone module development and integration, manufacturing support at contract manufacturers, and audio test station enhancements. Projects reflect client demand for regulatory compliance solutions and miniaturized wireless components in consumer devices.
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Delart'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.