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Many connected products make it to a working demo, but far fewer keep improving, stay secure, and turn device data into useful decisions 3 years later. This difference comes down to software.
The IoT software development companies in this guide were selected for this specific reason. They have the backend experience, data pipeline expertise, and lifecycle engineering needed to help connected products scale instead of stalling after launch.
Below, you’ll find 10 vendors with verified Clutch profiles and real connected-product experience, along with guidance on how to read the 2026 market and evaluate a partner before you sign.
IoT software development is much more than a companion app. It includes the device's firmware and embedded logic, the connectivity layer that moves data to the cloud, the backend and data pipelines that store and process this information, and the interfaces people use every day. Just as important, it includes the engineering needed to keep the whole system secure, stable, and up to date for years.
A vendor might be able to ship a polished control screen, but this isn’t enough. If the team can’t improve the backend, patch devices in the field, or turn the data stream into useful insight, the product can stall soon after launch. The strongest IoT software development companies are built to last.
These criteria matter more now than they did even a year ago because the IoT market is moving quickly, and the rules around connected products are changing with it.
The shortlist covers both boutique hardware-to-software specialists and firms with several hundred engineers, making it useful for anything from a single-device MVP to a multi-stream product program. Each company has a distinct strength, summarized in the table and explained in the profiles below. Clutch ratings and review counts were verified in August 2026, so treat them as a snapshot.
Axon is one of the best IoT software development companies because it treats a connected product as one continuous system, not a device with an app attached. The same team handles full-cycle software development (device integration, cloud architecture, backend development, and the mobile app), reducing the handoff risk that often slows connected-product timelines.
Its work on TaskPod shows that lifecycle mindset in practice. Axon built PIN-based room access that remains functional when connectivity drops, added a smart-key system, and integrated duration-based billing via Stripe. This helped turn the product into a revenue-generating system. For Muse Frame, a digital art display, Axon re-architected and rewrote the app in Flutter, after which the client reported a marked increase in sales.
This combination of IoT application development and cloud ownership is what helps Axon keep connected products healthy after launch.
If you build a connected product and want one team to own the software from device to cloud—and keep running it after launch—talk to Axon about your project.
Softeq can take a connected product from bare PCB to cloud dashboard without handing work off to separate vendors. That hardware-to-cloud coverage reduces the integration risk that appears when firmware, backend, and app teams make different assumptions about the data.
The company has delivered production IoT work across consumer electronics, automotive, healthcare, and industrial settings, including connected-hardware projects such as the SNOO smart bassinet. It also brings cloud and AI capabilities for the data layer.
For companies building products that span both silicon and software, Softeq removes a major source of vendor-coordination risk.
Lemberg Solutions works close to the device, where much of an IoT product’s value is won or lost. Its reviews frequently mention firmware, Bluetooth, and embedded engineering, including battery-management and charger firmware for an electric boiler, BLE modules for thermostats, and connected wearables.
That device-level work is supported by mobile and backend development, so the hardware can become a usable product. Its ISO 27001 certification is also relevant as secure-by-design expectations become stricter.
For products that depend on reliable firmware, connectivity, and security-conscious engineering, Lemberg is a strong fit.
Euristiq is strongest in the phase after an IoT product’s first release: modernizing deployed systems, scaling cloud infrastructure, and keeping connected products secure over time. That long-tail focus makes it a good fit for buyers who need more than a new app or dashboard.
Its ISO 27001:2022 certification and AWS Advanced Tier status provide documented security and cloud credentials. The company has also delivered IoT and cloud work for clients such as Philips and Ryanair.
For companies with connected products already in the field that need to scale, modernize, or stay compliant, Euristiq is a credible partner.
Integra Sources is the boutique specialist: a smaller team with deep expertise at the hardware-to-software boundary. Its reviews describe complex embedded and connectivity work across aerospace, medical, and manufacturing, including battery-management systems, CAN-bus integrations, and wireless bridging.
The company delivers both hardware and software under one roof and earned a Summer 2026 Clutch Global Award for IoT development, placing it among the top providers by verified reviews.
For technically demanding device-level projects, especially those requiring firmware and electronics alongside software, Integra offers senior attention that larger firms may struggle to match.
Digiteum is a fit for compliance-heavy IoT software, where data handling and regulatory standards matter as much as the connected feature itself. The company builds software and data layers for connected systems, including embedded and web controls, analytics, and reporting, for clients such as Oxford University Press and Sanofi.
Its certifications and compliance experience include ISO 13485, ISO 27001, ISO 9001, HIPAA, GDPR, and NIS2. That combination makes Digiteum well suited to connected products in healthcare, pharma, and other regulated sectors.
For buyers who need IoT software backed by audited data practices, Digiteum offers a deep level of compliance.
MobiDev combines connected-product software with strong AI and machine-learning expertise, which is increasingly where IoT value is created as intelligence moves closer to the device.
Its IoT portfolio includes smart-home security, such as the CUJO device for protecting connected home networks, and connected-vehicle work, including an app-controlled active suspension system. These are products where the app, cloud layer, and data model must work together reliably.
With a record of long, multi-year client relationships, MobiDev is a good fit for businesses that want their connected product to keep improving over time.
Waverley brings 3 decades of engineering experience and a strong record of reviews. Its embedded and IoT work spans social robotics, smart home, and connected audio, including contributions to the Jibo social robot.
The company has built connectivity layers, firmware drivers, and cloud-backed apps for connected consumer devices. These are the kinds of device-to-cloud programs that require a mature engineering process across multiple teams.
Headquartered in Silicon Valley with delivery across Eastern Europe and beyond, Waverley is well suited to larger organizations building connected-product programs that need to scale reliably.
Very is an IoT-native firm focused on moving connected products from pilot to production. It works across the full stack, from firmware and cloud to data science and edge AI.
The company’s work focuses on commercial and industrial use cases, including machine uptime, predictive maintenance, and energy optimization.
For businesses with a working prototype but no reliable path to a shippable connected product, Very’s pilot-to-production focus is its strongest advantage.
Oxagile is the enterprise option on this list, strongest when connected products overlap with data-heavy, video, or streaming platforms. Its in-house R&D group works across IoT, machine learning, computer vision, and big data, and the company has delivered projects for clients such as Discovery, Google, and Vodafone.
IoT is one capability within a broader engineering practice. That makes Oxagile a good fit for larger organizations whose connected product is part of a wider data- or media-intensive platform.
Software now plays a bigger role in IoT outcomes as the market grows and faces new regulations. Before you shortlist a partner, it helps to understand the shifts shaping connected products in 2026.
By the end of 2024, there were around 18.5 billion connected IoT devices. This number is expected to rise by 39 billion by 2030. More devices in the field mean more telemetry, backend load, and systems to secure. Most of this work falls on the software team.
As connected fleets grow, more value sits in the cloud, data platforms, and application software that make devices useful. Enterprise IoT spending has been growing fastest in software and cloud-based solutions. That’s why asking who can build the app is too narrow. The bigger question is who can build and support everything behind it.
Analytics, machine learning, and edge AI are becoming key parts of modern IoT systems. More processing now happens on or near the device, so telemetry can support real-time decisions. For buyers, this raises the bar for a partner’s data and AI engineering.
Under the EU Cyber Resilience Act, vulnerability-reporting obligations begin on 11 September 2026, and the main requirements apply from 11 December 2027. The act also introduces secure-by-design expectations, software bill of materials requirements, and fines of up to €15 million or 2.5% of global turnover. Any product with digital elements sold in the EU is in scope. This makes updating infrastructure and vulnerability handling baseline software requirements.
IoT programs don’t fail because the idea is weak. They stall when devices, data, and users expose software problems the team didn’t plan for. Knowing where these problems arise helps you choose a partner who can address them early.
The right partner depends less on rank and more on what you are building. Match each vendor’s real strength to your product’s center of gravity: device, data, compliance, or scale.
Use these cases to narrow the shortlist, then test candidates on the lifecycle questions that matter most: fleet-scale data handling, over-the-air updates, and long-term device security.
Smart locks, wearables, and connected home devices only work when firmware, cloud, and app agree on the same data. Most stall when these pieces are built by separate teams.
When the hard part is the hardware itself, such as custom boards, sensors, and power management, you want a partner who will not lose information across the hardware-software seam.
For thermostats, battery systems, and connected sensors, the product lives or dies on solid embedded logic and reliable device-to-cloud plumbing.
For healthcare, pharma, or anything under HIPAA, GDPR, or NIS2, data practices matter as much as features.
When a product exists but must grow, stay secure, and keep improving, the work shifts from building to running.
When the value is in the telemetry, you need genuine data and AI engineering.
Plenty of connected products reach a demo and then stall on the software work needed to reach production.
For enterprise builds where IoT meets heavy data, video, or streaming, Oxagile brings the broadest big-data and R&D bench and a roster of large clients.
Whichever use case fits, prioritize backend, data, and lifecycle engineering over a polished demo app. The interface is the easiest part to show and the least likely to sink the product.
Read Clutch records for patterns, not just scores. Repeat, multi-year engagements in your industry say more than a perfect rating from only a few reviews.
The IoT software market scales and re-regulates simultaneously. This has shifted the real buying decision. Shipping the first app is no longer the hardest part, but keeping a connected product secure, current, and useful for years is.
That is why this guide ranks companies on backend, data, and lifecycle engineering rather than demo polish. The right partner depends on where your product’s weight sits: the device, the data, the compliance load, or the scale.
If you need one accountable team to own the full device-to-cloud-to-app chain and support it after launch, Axon is the strongest fit on this list, with proven work in smart access, connected consumer devices, and PropTech.
From there, match the partner to the hardest part of the product: Softeq and Integra Sources for hardware-heavy builds; Lemberg Solutions for firmware and connectivity; Digiteum and Euristiq for regulated, data-heavy systems and deployed fleets; Very and MobiDev for intelligence, machine learning, and edge AI; Waverley Software for large multi-team programs; and Oxagile when IoT is part of a wider data or media platform.
Before signing, verify the fundamentals: full-stack coverage, real data and update engineering, security credentials that match your obligations, and a Clutch record showing repeat work in your space.
Planning a connected product and need one team to own the software from device to cloud and keep it running after launch? Talk to Axon about your project.
An IoT software development company builds the software that makes connected products work. This includes firmware, device integration, connectivity, cloud infrastructure, backend systems, data pipelines, and the apps or dashboards people use. A strong IoT partner also provides post-launch support for the product. They handle updates, security patches, performance issues, and the work required to turn device data into actionable insights. In short, IoT software is the system that keeps a connected product useful, secure, and reliable over time.
The cost depends on the product's complexity, the number of layers the vendor needs to build, and the amount of hardware, data, and cloud work involved. As a rough guide, an IoT proof of concept usually costs $5,000 to $20,000. An MVP often falls between $20,000 and $80,000. A full connected-product build can go much higher, sometimes reaching $1,000,000 for complex systems. Hourly rates in 2026 typically range from $50 to $99 for many mid-market vendors. Premium US consultancies may charge $200 to $300 per hour. Minimum project sizes often start around $10,000. The cheapest quote isn’t always the cheapest path. If the backend is thin, updates aren’t planned, or data handling is weak, the product frequently needs expensive rework once real devices are in the field.
It depends on how much control you need. An existing IoT platform can help you move faster and reduce early infrastructure work. It can also lower upfront costs. The tradeoff is flexibility. Platforms can limit customization, create long-term vendor dependency, and add per-device costs as the product scales. Custom IoT software requires more upfront time and budget, but it gives you greater control over the device, data, user experience, and roadmap. The best choice depends on the product’s lifespan, scale, and the degree of differentiation the software needs to create.
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