The Internet of Things (IoT) continues to reshape the global tech landscape, especially when paired with artificial intelligence (AI), machine learning (ML), and edge computing. These technologies enable connected devices to make real-time decisions, reduce latency, and process data efficiently without relying solely on the cloud. As businesses look to adopt smarter, more scalable IoT solutions, the role of expert development firms becomes crucial.

Below is a curated list of leading IoT product development companies that stand out for their deep expertise in AI, ML, and edge computing integration. These companies don’t just build connected devices — they create intelligent ecosystems that respond, adapt, and evolve.

1. Yalantis – Intelligent IoT Product Development at Its Core

Location: Ukraine & Eastern Europe | Founded: 2008 | Team size: 500+

Website: yalantis.com

Yalantis is a standout player in the IoT product development arena, known for its robust solutions that seamlessly combine IoT with AI, ML, and edge computing. The company’s engineering-first mindset and agile methodology enable it to create custom, scalable IoT ecosystems across various industries, including healthcare, logistics, manufacturing, smart home, and mobility.

Why Yalantis Leads in Smart IoT Development

• Deep industry-specific expertise: From predictive healthcare platforms to smart logistics.

• Full-stack development: From hardware communication protocols to intuitive user interfaces.

• AI & ML integration: For intelligent automation, anomaly detection, and predictive analytics.

• Edge computing: To reduce latency and dependency on the cloud, especially in real-time use cases.

• Cloud-native architectures: AWS, Azure, and Google Cloud integrations for flexibility and scalability.

Yalantis IoT Development Capabilities at a Glance

Capability	Details
IoT Platforms	Custom-built or integrations with AWS IoT Core, Azure IoT Hub
AI/ML Use Cases	Predictive maintenance, demand forecasting, and image recognition
Edge Solutions	Real-time analytics at the edge, embedded systems development
Protocols & Connectivity	MQTT, CoAP, BLE, ZigBee, LoRaWAN
Hardware Experience	STM32, Nordic chips, Arduino, Raspberry Pi
Security Practices	End-to-end encryption, OTA updates, secure boot

Notable Features in Their IoT Projects

• Real-time condition monitoring for industrial equipment

• Wearable healthcare devices with AI diagnostics

• Smart building management systems with automated HVAC control

• Cold chain tracking with geofencing and anomaly alerts

Yalantis combines modern cloud infrastructure with AI-powered algorithms and real-time edge capabilities, making them a go-to partner for intelligent, future-ready IoT products.

2. Softeq – Building Smart, Connected, and Rugged IoT Solutions

Location: USA (Houston, TX) | Founded: 1997

Website: softeq.com

Softeq is known for its full-cycle product development, especially in scenarios that demand robust hardware-software integration. Their portfolio spans wearables, connected cars, industrial automation, and consumer electronics.

Softeq has strong competencies in edge AI, enabling IoT devices to recognize objects, monitor environments, and make local decisions. With its in-house expertise in firmware and hardware design, the company delivers dependable products even in mission-critical or harsh environments.

Their collaboration with Fortune 500 clients showcases their ability to scale and customize solutions based on specific operational needs.

3. LeewayHertz – AI-Fueled IoT Systems for Enterprises

Location: USA (San Francisco, CA) | Founded: 2007

Website: leewayhertz.com

LeewayHertz brings a strong AI-first approach to IoT development. They help enterprises build smart systems that utilize AI models for object detection, anomaly detection, energy usage optimization, and predictive alerts.

They've developed edge-based solutions for smart factories, retail inventory management, and precision agriculture. By combining sensor data with cloud-based machine learning, they help companies move from reactive processes to proactive decision-making.

With end-to-end experience in designing edge algorithms, connectivity frameworks, and custom dashboards, LeewayHertz is a solid choice for enterprise-grade deployments.

4. Intellias – End-to-End IoT Solutions With Strong R&D Focus

Location: Ukraine | Founded: 2002

Website: intellias.com

Intellias has built a reputation for innovation in connected ecosystems, particularly in automotive, mobility, and green energy sectors. Their IoT stack includes edge AI modules, advanced sensor fusion, and ML pipelines that allow autonomous decision-making in real time.

They offer advanced telematics systems, smart grid software, and fleet management platforms. The company's R&D-driven approach ensures scalable, secure, and context-aware applications for connected products.

Their focus on energy efficiency and real-time data processing makes them a strategic partner for sustainable IoT implementations.

5. HQSoftware – Practical IoT & Edge AI Engineering

Location: Estonia | Founded: 2001

Website: hqsoftwarelab.com

HQSoftware delivers tailored IoT development services with a clear focus on measurable business outcomes. They’ve implemented edge intelligence for manufacturing, smart agriculture, and asset tracking use cases.

Their team designs custom device firmware and creates AI-powered data pipelines that support both real-time and long-term analytics. They also offer expertise in remote monitoring systems and IoT dashboards that simplify user control over complex environments.

With a well-structured project approach and a portfolio that includes both startups and large enterprises, HQSoftware provides practical and dependable solutions for smart connected products.

6. Oxagile – Video-Centric IoT Systems Powered by AI

Location: USA & Eastern Europe | Founded: 2005
Website: oxagile.com

Oxagile focuses heavily on video-based IoT systems. They specialize in AI-enabled computer vision, which is often used in surveillance, smart cities, and retail analytics.

Their engineers integrate real-time video streaming with edge computing to enable fast object recognition, people counting, or emotion detection directly on the device, reducing bandwidth and privacy risks.

Oxagile’s strong background in media streaming and machine learning helps businesses build high-performance solutions in areas where video and sensors converge.

How to Choose the Right IoT Development Partner

As IoT continues to merge with AI, ML, and edge computing, selecting the right technology partner can significantly influence your product’s long-term success. Whether you need to build a low-power wearable, optimize industrial operations, or deploy a city-wide sensor network, the companies listed here have the technical expertise and real-world experience to deliver.

Among them, Yalantis particularly stands out for its ability to build comprehensive, intelligent IoT systems across industries. Their holistic approach — from embedded development to AI and cloud — positions them as a top-tier choice for businesses aiming to launch innovative, future-ready connected products.