Cavli Wireless plans to expand its Internet of Things (IoT) technology portfolio at electronica 2026 in Munich, Germany, with the debut of its P16QS LTE Cat 1bis System-on-Module (SoM) and Cortex AI, an autonomous firmware engineering assistant. The November 10–13 showcase will also feature the company’s 5G RedCap and 5G NR modules, router prototypes, and Cavli Hubble connectivity and device management platform. The announcements highlight a broader shift toward integrated IoT development environments that combine cellular hardware, embedded processing, AI-assisted firmware engineering, and cloud-based device management.
Cavli Wireless Brings AI-Assisted Firmware Engineering to IoT Development
Cavli Wireless is positioning AI-assisted firmware development alongside its cellular IoT hardware portfolio, targeting a persistent challenge for connected-device manufacturers: reducing the engineering effort required to move from hardware integration to deployment.
At electronica 2026, scheduled for November 10–13 in Munich, the company will introduce Cortex AI, an autonomous firmware engineering assistant designed to automate several stages of embedded software development. The company will also unveil the P16QS LTE Cat 1bis System-on-Module (SoM), while demonstrating its CQM220 5G RedCap and CQM211 5G NR modules through router prototypes.
The announcements reflect an increasingly integrated approach to IoT infrastructure, where hardware connectivity, embedded computing, firmware development, and cloud-based device management are becoming interconnected parts of the development lifecycle.
Cortex AI Targets Embedded Firmware Development Bottlenecks
Cortex AI is the most directly relevant announcement for the enterprise AI and automation market. Unlike general-purpose AI coding assistants primarily designed for software development environments, Cavli’s solution is intended to connect firmware engineering workflows with physical IoT hardware.
According to the company, Cortex AI integrates programming tools, technical resources, and hardware testing into a unified environment. Its capabilities include code generation, compilation, firmware flashing, and device boot-up.
This approach addresses a more specialized segment of AI-assisted software engineering. Embedded development typically involves hardware-specific configurations, processor constraints, peripheral interfaces, and repeated testing on physical devices. Automating parts of this workflow could reduce manual intervention and help engineering teams identify integration issues earlier.
Cavli says Cortex AI aims to reduce development cycles traditionally measured in months to weeks, depending on project complexity and deployment requirements. That timeline remains a company objective rather than an independently verified performance benchmark.
The product’s positioning also highlights a developing distinction in AI coding tools: moving beyond code generation toward systems that can execute, test, and validate software against connected hardware.
P16QS Combines Cellular Connectivity and Embedded Processing
The P16QS LTE Cat 1bis SoM extends Cavli’s portfolio into applications requiring cost-conscious cellular connectivity and integrated processing.
Built around a 32-bit RISC-V processor running at 325 MHz, the module supports RTOS-based application development. Its connectivity features include LTE Cat 1bis, Wi-Fi 6, and Bluetooth Low Energy 5.4, alongside an integrated secure element.
The module supports peak download speeds of 10 Mbps and upload speeds of 5 Mbps. Optional GNSS and eSIM capabilities, together with interfaces for NFC, smart cards, and magnetic-stripe readers, target payment terminals, connected soundboxes, vehicle telematics, and asset-tracking applications.
Cavli will demonstrate the P16QS in a point-of-sale solution concept, showing how payment peripherals, local processing, and wireless connectivity can operate within a compact hardware design.
5G RedCap and 5G NR Address Different IoT Requirements
Beyond the P16QS, Cavli is showcasing two 5G platforms aimed at different performance requirements.
The CQM220 uses Qualcomm’s SDX35 chipset and supports 3GPP Release 17 5G RedCap, with LTE Cat 4 fallback. It offers stated peak download and upload speeds of 220 Mbps and 120 Mbps, respectively. OpenWrt support, dual-band GNSS, and LGA and M.2 form factors position it for industrial gateways, connected healthcare equipment, and smart infrastructure.
The CQM211, based on Qualcomm’s SDX61 chipset and 3GPP Release 16, targets more bandwidth-intensive applications. It supports peak 5G download speeds of up to 2.5 Gbps in NSA mode and 1.5 Gbps in SA mode, alongside LTE Cat 16 fallback, carrier aggregation, and Yocto Linux.
The distinction matters for IoT developers evaluating connectivity costs and application requirements. RedCap offers a middle ground between traditional LTE-based connectivity and higher-performance 5G, while full 5G NR supports applications requiring substantially greater throughput.
Hubble Extends Connectivity Management Beyond Deployment
Cavli will also demonstrate Hubble, its cloud-based IoT connectivity and device management platform.
Its capabilities include eSIM lifecycle management, device monitoring, remote diagnostics, and firmware updates. Hubble Lens provides remote AT-command access, while FOTA and DFOTA support remote firmware management. Hubble Cloud Connect handles device-to-cloud data routing.
Combining these services with cellular modules gives device manufacturers an integrated environment for managing connected hardware after deployment. This is particularly relevant for enterprises operating geographically distributed fleets, where physical maintenance and manual firmware updates can increase operational costs.
Cavli founder and CEO John Mathew said the company’s objective is to reduce the integration work involved in bringing connected products to market by combining hardware, firmware development tools, 5G connectivity, and cloud operations.
The broader market provides a compelling backdrop. According to IoT Analytics’ 2026 cellular IoT market update, global cellular IoT connections reached 4.7 billion in 2025, representing 13.3% annual growth. The research firm forecasts that figure will reach 9.2 billion by 2030. IoT Analytics
For Cavli, the opportunity extends beyond selling individual communication modules. Its strategy connects embedded hardware, AI-assisted engineering, and cloud management into a broader IoT development and deployment proposition.
The key question will be how effectively Cortex AI performs across different hardware configurations and real-world firmware projects. Its ability to demonstrate reliable hardware-aware automation, rather than simply generating code, will determine its practical value to embedded engineering teams.
Cavli will present its portfolio at Hall C2, Booth 628, during electronica 2026.
Market Landscape
The IoT hardware market is moving toward integrated development and lifecycle management platforms. Cellular modules are increasingly expected to provide more than network connectivity, with embedded processing, security, local wireless communication, and remote management becoming important product considerations.
Three developments are shaping this market:
- AI-assisted embedded engineering: AI coding tools are expanding into specialized engineering environments, including firmware generation, hardware testing, and automated validation.
- 5G RedCap adoption: Release 17 RedCap provides an intermediate connectivity option for IoT devices that need more capability than conventional LTE without requiring the full performance profile of advanced 5G.
- Unified IoT management: Enterprises increasingly need centralized connectivity provisioning, remote diagnostics, firmware updates, and device monitoring across large deployments.
Cavli’s portfolio brings these requirements together. However, its competitive differentiation will depend on Cortex AI’s demonstrated engineering capabilities, module interoperability, global network support, and the reliability of its device management infrastructure.
Top Insights
- Cavli’s Cortex AI extends AI-assisted development into embedded engineering by combining firmware generation, compilation, flashing, and hardware boot-up workflows.
- The P16QS combines LTE Cat 1bis, RISC-V processing, Wi-Fi 6, Bluetooth 5.4, and security features for compact connected-device designs.
- The CQM220 targets mid-tier 5G IoT deployments through RedCap connectivity, while the CQM211 addresses higher-bandwidth industrial and enterprise applications.
- Cavli Hubble combines cellular connectivity management, remote diagnostics, eSIM lifecycle management, and firmware updates within a unified cloud environment.
- IoT Analytics forecasts cellular IoT connections will increase from 4.7 billion in 2025 to 9.2 billion by 2030, supporting demand for scalable IoT infrastructure.
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