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Best Embedded Systems Development Companies for AI Camera and IoT Security

A connected security camera looks simple from the outside. In practice, it runs a complex embedded stack that manages sensor…

Best Embedded Systems Development Companies for AI Camera and IoT Security

19th May 2026

A connected security camera looks simple from the outside. In practice, it runs a complex embedded stack that manages sensor input, ISP pipelines, edge AI inference, Wi-Fi and BLE connectivity, OTA updates, and encrypted video transmission simultaneously on constrained hardware. Add EMC and EMI certification, long battery life, and mass production deadlines, and the number of development partners that can deliver it drops quickly.

Global connected IoT devices are projected to reach 38 billion by 2030. Products such as smart cameras, video doorbells, and AI-powered security sensors sit at the center of that growth. They are also the products where firmware failures, hardware integration gaps, or security weaknesses carry the highest cost. A camera that leaks data, drains its battery in weeks, or produces constant false alarms is hard to recover in the market.

The companies on this list were selected because they are built for that level of complexity. Each treats AI camera hardware, firmware, and IoT security integration as core practices. SQUAD leads for full-stack AI camera engineering. Cardinal Peak stands out for its depth in connected IoT security. Softeq is a strong option for delivering hardware-to-cloud embedded products.

Explore the 8 best embedded systems development companies evaluated specifically for AI camera, edge AI, and IoT security delivery capability.

Best Embedded Systems Development Companies for AI Camera and IoT Security – Quick Overview

  • SQUAD: End-to-end AI camera and IoT security development, with 700+ engineers, 6,500+ m² of lab space, and 50+ products shipped.
  • Cardinal Peak: 20+ years in IoT and connected devices, with embedded security capabilities through FPT’s 2,000+ engineer network.
  • Softeq: Full-stack engineering across hardware, firmware, edge AI, and cloud/mobile integration.
  • Witekio: Embedded Linux, firmware security, and device-to-cloud IoT integration.
  • eInfochips: 1,500+ engineers, 500+ products shipped, and deep camera SoC and silicon engineering expertise.
  • Promwad: 100+ engineers focused on edge AI, digital video, and IoT product development.
  • Yalantis: ISO-certified, 500+ engineers, focused on IoT firmware, edge AI, and secure device-cloud communication.
  • Lemberg Solutions: Embedded Linux, MCU firmware, hardware-software co-design, firmware security, and FOTA pipelines.

How We Evaluated the Best Embedded Systems Development Companies

AI camera and IoT security products fail in predictable ways. The evaluation criteria for this list were built around those risks.

  • Edge AI on constrained hardware: Running object detection, motion classification, or person recognition on a camera SoC with a tight power budget requires more than general ML skills. We looked for proven delivery on production platforms such as Ambarella, OmniVision, Qualcomm, and SigmaStar, where firmware-level AI integration is verifiable.
  • Security built into hardware and firmware: Security cannot be added at the end. We prioritised firms with experience in hardware root of trust, secure boot, encrypted OTA pipelines, and certificate-based device provisioning. Vendors that treat security as a post-launch audit were excluded.
  • Battery life engineering: Wireless cameras and doorbells need multi-week to multi-month battery life, which depends on power modeling during hardware design, firmware-level power management, and real-world validation. Firms without in-house measurement capability or documented outcomes were deprioritised.
  • Full product lifecycle coverage: AI camera products require ongoing support after launch, including model refreshes, security patches, second-source support, and OTA firmware updates at scale. We favored companies with demonstrated post-launch capability, not just prototype or pilot delivery.

Top Embedded Systems Development Companies List

AI camera and IoT security products sit at one of the most demanding intersections in embedded systems development. The firmware has to manage real-time edge inference, encrypted video transmission, BLE and Wi-Fi connectivity, and OTA updates on constrained hardware. The hardware has to pass EMC/EMI certification, withstand environmental testing, and meet battery life expectations that the market will actually accept. The AI models also need to run on a camera SoC with limited compute, while keeping false alarms low enough that users do not abandon the product.

Most embedded vendors solve one part of that problem well. The 8 companies below stand out because they can handle the full challenge. Each profile starts with a concrete delivery fact, such as products shipped, deployment scale, or years of platform experience, then shows what that experience means for teams building AI camera and connected security hardware today.

SQUAD: Full-Stack Embedded Engineering for AI-Powered Smart Cameras

500+ projects, 50+ devices, 50+ app releases, and 20+ AI features make up SQUAD’s delivery track record across a single embedded systems practice built for AI-powered smart cameras, IoT devices, and connected security products. The company brings together 700+ engineers across embedded, hardware, cloud, mobile, and AI disciplines, supported by 6,500+ m² of in-house lab space. That infrastructure includes RF chambers, thermal labs, EMC/EMI suites, image quality rigs, and a Camera Testing System capable of validating up to 225 devices at once.

  • The firmware team works with C, C++, Linux, Yocto, Buildroot, FreeRTOS, and Zephyr across platforms from Ambarella, OmniVision, SigmaStar, and Qualcomm.
  • SQUAD integrates object detection, person and vehicle recognition, motion classification, and false alarm reduction directly into camera firmware.
  • Models are optimised for constrained SoCs through quantisation-aware training and hardware-aware pruning.
  • For battery-powered devices, multi-channel power modeling helps wireless doorbells and cameras achieve multi-week to multi-month battery life under real-world conditions.

What sets SQUAD apart from firmware-only or hardware-only vendors is full lifecycle accountability. The same team that designs the PCB also validates it in-house, integrates the ML pipeline, runs pilot programs, and supports post-launch security patches, OTA firmware updates, ML model refreshes, BOM optimisation, and second-source support. For companies building AI cameras or connected security products, continuity across the stack reduces handoff risk, which delays many embedded programs.

Cardinal Peak: IoT Security Engineering and Connected Device Development

300+ clients and two decades of delivering connected devices define Cardinal Peak’s track record across IoT, video, and audio engineering. Founded in 2002 and acquired by FPT Software in 2023, the Colorado-based firm now operates with access to a global team of 2,000+ engineers, including 900+ AI/ML specialists and 1,200+ AWS-certified professionals. The company holds AWS Advanced Tier Services Partner status and operates the largest Silicon Labs design center

  • Works with hardware root of trust, secure boot, and OTA firmware protection
  • Supports certificate-based provisioning at the manufacturing stage
  • Extends security through cloud software and end-user applications
  • Brings experience with AWS IoT Core and Kinesis Video for connected video products

What sets Cardinal Peak apart is the depth of its embedded security practice within a connected product engineering model. For teams building AI cameras or IoT security hardware, the firm brings together the rare combination of device-side firmware security and cloud-side video management under a single engineering organisation.

Softeq: Hardware-to-Cloud Product Engineering for Connected Devices

Since 1997, Softeq has built a full-stack engineering practice spanning hardware design, firmware, edge AI, cloud backend, and mobile app development for Fortune 100 enterprises and mid-sized technology firms. Headquartered in Houston, with R&D centers in Munich, London, and Vilnius, the company operates under ISO-certified processes and holds both Microsoft Gold Application Development Partner status and Apple MFi Program membership.

  • Covers hardware prototyping, firmware development, and edge AI integration
  • Supports cloud backend and mobile app development under one contract
  • Brings regulatory depth with ISO 13485 and IEC 62304 pre-certification support
  • Fits products where hardware, firmware, and backend integration must move in parallel

 

What separates Softeq from narrower embedded vendors is its ability to deliver hardware, firmware, AI, and mobile/cloud solutions within a single engagement. For connected camera and IoT security products, this reduces the coordination overhead that often slows programs late in the cycle.

Witekio: Embedded Linux, Firmware Security, and Industrial IoT

Witekio is a globally recognised company with deep expertise in firmware architecture, security, and system integration. Now part of the Avnet group, the company has direct access to a broad hardware ecosystem and works closely with NXP and STMicroelectronics platforms.

  • Strong depth in embedded Linux and multi-core SoC environments
  • Covers secure boot, OTA security, device identity, and cloud communication hardening
  • Works closely with NXP and STMicroelectronics platforms
  • Well-suited for industrial and commercial IoT camera programs with long device lifecycles

What sets Witekio apart is the combination of embedded Linux expertise, firmware security, and access to the hardware ecosystem. For industrial and commercial IoT camera products, this makes it a strong fit where security and long-term integration are central constraints.

eInfochips: Silicon Engineering and Camera SoC Integration at Scale

Founded in 1994 and now part of Arrow Electronics, eInfochips is one of the few firms with deep embedded engineering capability and verifiable global deployment scale. The company has contributed to 500+ products and more than 10 million deployments across 130 countries, supported by 1,500+ engineers and 10 design centers across India, Japan, and the US.

 

  • Covers silicon engineering, ASIC/FPGA design, and ISP pipeline development
  • Brings SoC bring-up, sensor calibration, and image quality tuning depth
  • Supports 500+ products and 10+ million deployments globally
  • Benefits from Arrow Electronics supply chain and sourcing access

 

What sets eInfochips apart is its ability to support camera SoC integration, hardware, firmware, and validation at global scale. For high-volume AI camera programs, that combination of engineering capacity and supply chain continuity is a major advantage.

Promwad: Edge AI and Digital Video for Embedded Camera Products

With 100+ engineers and clients across automotive, digital video, and industrial IoT, Promwad is a Europe-based embedded firm built around the intersection of edge AI and constrained hardware platforms. Its work spans automotive, digital video, industrial automation, and telecom, with post-launch maintenance covering security updates and performance optimisation.

  • Works across Ambarella, Qualcomm, and NXP camera and vision platforms
  • Combines edge AI, ISP optimisation, codec integration, and on-device inference
  • Brings cross-industry experience from automotive, industrial, and digital video
  • Supports post-launch security updates, performance tuning, and AI model updates

 

What sets Promwad apart is the overlap between edge AI, digital video expertise, and ongoing post-launch support. That makes it a practical fit for teams that need continued optimisation after initial delivery.

Yalantis: IoT Firmware and Secure Device-Cloud Communication

Yalantis combines 500+ engineers, ISO 9001 and ISO/IEC 27001 certification, and a 4.8 out of 5 Clutch rating based on 76 reviews. Founded in 2008, the company has completed 40+ end-to-end IoT deployments from concept to production and works with clients including Bosch, Toyota Tsusho, and Google X.

  • Covers custom firmware, edge AI, and secure device-cloud integration
  • Uses Rust-based embedded development to reduce memory safety risks
  • Brings compliance awareness across FDA, MDR, and healthcare privacy requirements
  • Has completed 40+ end-to-end IoT deployments from concept to production

What sets Yalantis apart is the combination of secure firmware engineering, edge AI capabilities, and deep cloud-side integration. For IoT camera products that require both on-device inference and secure analytics, this approach covers both layers within a single engineering practice.

Lemberg Solutions: Firmware Security and Hardware-Software Co-Design

Lemberg Solutions supports product development from the earliest electronics design stages through firmware and system integration, covering embedded Linux, MCU firmware, kernel and driver development, FOTA pipelines, embedded AI, RTOS development, firmware security, vulnerability scanning, and hardware reverse engineering.

  • Covers embedded Linux, MCU firmware, RTOS development, and hardware-software co-design
  • Supports kernel and driver development, FOTA pipelines, and vulnerability scanning
  • Can engage from the electronics design stage, not just after bring-up
  • Fits connected products that need firmware security and early architecture support

 

What sets Lemberg Solutions apart is its ability to support teams from electronics design through integration, rather than joining only after bring-up. For AI camera and IoT security products, early-stage involvement helps reduce downstream risk in security, power, and system architecture.

Technical Capability Matrix

Selecting a development partner for an AI camera or a secure IoT device requires looking past broad embedded claims. You need to know whether a firm can handle ISP tuning, quantised neural networks, and hardware-level security.

The matrix below compares 8 firms across the technical capabilities that matter most for security and vision products.

 

Company Edge AI and ISP depth Security specialisation Notable platforms
SQUAD High, with in-house IQ labs and a 225-device test rig End-to-end security, including encrypted OTA and FOTA pipelines Ambarella, Qualcomm, SigmaStar
Cardinal Peak Moderate, with strength in video and audio streaming Hardware root of trust and secure boot Silicon Labs, AWS IoT Core
Softeq High, with hardware-to-cloud edge logic Regulatory compliance across ISO and IEC standards Microsoft Gold, Apple MFi
Witekio Moderate, with system-level integration depth Firmware hardening and vulnerability audits NXP, STMicroelectronics
eInfochips High, with silicon and ASIC design depth Global-scale deployment capability Arrow Electronics supply chain
Promwad High, with video codec and DSP optimisation Post-launch maintenance and security patching Ambarella, NXP, Qualcomm
Yalantis High, with computer vision and analytics expertise Memory safety through Rust-based development Custom IoT architecture, Google X
Lemberg Solutions Moderate, with MCU and RTOS focus Vulnerability scanning and reverse engineering Embedded Linux, Zephyr, FreeRTOS

Conclusion

SQUAD stands out for the completeness of its AI camera and IoT security stack, with 700+ engineers, 6,500+ m² of in-house lab space, and 50+ home security products shipped to mass production. Cardinal Peak brings deep IoT security expertise, including hardware root-of-trust and OTA protection. Softeq covers hardware prototyping through cloud integration for regulated and consumer-connected products. Witekio is a strong fit for embedded Linux and firmware security in industrial and commercial IoT. eInfochips adds camera SoC integration and global-scale deployment. Promwad focuses on edge AI and digital video for constrained embedded platforms. Yalantis combines secure device-to-cloud communication with deep IoT firmware expertise across healthcare and logistics. Lemberg Solutions supports FOTA pipelines and firmware security from early electronics design through system integration.

For teams building AI cameras or IoT security products, the right embedded systems development company is not the one with the longest list of services. It is the one that has already shipped production hardware through the same firmware, hardware, and AI stack your product requires.

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