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Emtar Tech

Emtar Tech provides semiconductor wireless modules that combine AI‑accelerated signal processing with AES‑256 end‑to‑end encryption, delivering sub‑10 ms latency and 5G‑grade throughput for edge devices. The modules support configurable PHYs (Wi‑Fi 6/6E, 5G NR, mmWave), on‑chip inference, and OTA update pipelines, enabling OEMs to integrate secure, low‑power connectivity into IoT, automotive radar and edge AI systems.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many modern devices—ranging from IoT sensors to automotive radar units—require high‑speed, low‑latency wireless links that also guarantee data integrity and protection against interception. Existing radio solutions often rely on legacy semiconductor designs, leading to limited bandwidth, higher power consumption, and inadequate security for AI‑driven applications.

Solution

Emtar Tech delivers next‑generation semiconductor‑based wireless modules that embed AI‑accelerated signal processing and end‑to‑end encryption. The platform supports configurable PHY layers for 5G‑grade throughput while maintaining sub‑10 ms latency, enabling real‑time AI communication between edge devices. Integrated AI inference engines allow on‑chip analytics for IoT data streams and radar signal classification, reducing the need for cloud round‑trips. A unified SDK and OTA firmware framework let OEMs customize protocols, roll out security patches, and scale deployments across diverse form factors. All modules comply with industry standards (e.g., IEEE 802.11ax, 3GPP NR) and provide secure key‑exchange mechanisms to protect sensitive payloads.

Target Audience

Primary customers are OEMs and system integrators developing connected IoT devices, automotive ADAS/radar systems, and edge AI platforms that require secure, high‑performance wireless connectivity.

Features

  • Custom silicon RF front‑end with adaptive beamforming for robust connectivity in congested spectrum environments
  • Built‑in AI inference accelerator (Tensor‑Lite compatible) for on‑device signal classification and anomaly detection
  • End‑to‑end AES‑256 encryption with hardware key vault and secure boot to prevent tampering
  • Modular SDK offering API bindings for C/C++, Python, and Rust, plus pre‑tested drivers for Linux, RTOS, and automotive ECUs
  • OTA update pipeline with delta compression, cryptographic signing, and rollback safety nets
  • Multi‑protocol stack support (Wi‑Fi 6/6E, 5G NR, Sub‑6 GHz, mmWave) selectable via firmware profiles
  • Low‑power operation modes achieving < 50 mW average consumption for battery‑operated IoT nodes
  • Compliance certifications (FCC, CE, ISO 26262) and built‑in diagnostics for field troubleshooting
This profile is AI-generated and may contain inaccuracies.