5 Star rating from Clutch verified reviews

IoT Software Development for Connected Device Products

Firmware, edge software, and cloud backends for connected products. Built for the gap between a working prototype and a fleet of a million devices.

No commitment requiredResponse within 24 hours

8000+
Projects
Delivered for clients nationwide
3000+
Clients
Nationwide across the USA
200+
Engineers
Senior, vetted, full-time
5.0
Clutch Rating
From verified client reviews

Common Challenges

We Understand IoT Engineering

IoT systems span hardware, firmware, edge, and cloud, and they fail in the seams. The challenges we help connected product teams work through.

Connectivity & Protocol Diversity

The protocol choice is upstream of half the product roadmap. BLE saves battery but constrains range. LoRaWAN gives you kilometers but kilobytes. LTE-M solves coverage but adds a recurring carrier bill per device. The wrong call shows up as a hardware revision twelve months in, not as a software change.

Edge Computing Constraints

Most IoT devices spend 99% of their life asleep. Hitting a five-year battery target on a coin cell means duty cycling measured in milliseconds per hour, peripheral power gating, and being honest about what cannot run on-device at all. Adding 'a small ML model' to a sleeping device is rarely small.

Device Management at Scale

A successful product is a million bricked devices waiting to happen. OTA needs cryptographic signing, A/B partitions or fail-safe rollback, staged rollout with health gates, and differential bundles for cellular fleets. The OTA design you ship in v1.0 is the constraint you cannot fix in v1.1, because v1.1 has to flash over v1.0.

Security at the Device Level

Every device shipped is an internet-facing host that will outlive your security team's attention span. Secure boot from a hardware root of trust, factory provisioning that gives each unit a unique identity it cannot leak, mutual TLS, and a certificate rotation strategy that survives a vendor change are baseline. The recall cost of getting this wrong is the device, not the firmware.

What We Build

IoT Engineering Capabilities

Engineering capabilities for device firmware, edge computing, IoT cloud backends, and connected fleets at scale.

Firmware & Embedded Development

C and C++ firmware on ARM Cortex-M, ESP32, STM32, and nRF52 with FreeRTOS, Zephyr, or bare-metal as the application demands. Power profiling against real-device telemetry, OTA from day one (not as a v2 retrofit), and a HAL boundary that makes a chip family swap a contained change rather than a re-port.

Cloud IoT Backends

Telemetry ingestion that survives a fleet-wide reconnect storm, device shadow and digital twin services, time series storage in TimescaleDB or InfluxDB sized to your actual write rate, and rule-engine alerting that the support team can edit without a redeploy. AWS IoT Core, Azure IoT Hub, or a custom EMQX broker when the math says so.

Device Management Platforms

Fleet dashboards that answer the operator question (which units are unhealthy, since when, on what firmware), OTA rollouts with cohorting and automatic abort on health regression, remote configuration with audit history, and zero-touch factory provisioning workflows the manufacturing line can actually run.

IoT Mobile & Web Applications

Companion apps with BLE provisioning that does not crash on Android Bluetooth quirks, control dashboards that degrade usefully when a device goes offline, and analytics views for the rare end user who actually opens the data tab. Apple HomeKit, Google Home, and Alexa integrations where they earn their keep.

IoT Security Architecture

Threat modeling against the actual device, not a generic PSA. Secure boot from a hardware root of trust, a private CA strategy that does not break when the vendor relationship does, mutual TLS at provisioning, and certificate rotation tested by actually rotating them before launch.

Edge AI & Predictive Analytics

TensorFlow Lite Micro and ONNX Runtime models quantized to int8 and pinned to a memory budget you can actually meet on a Cortex-M, with an honest answer about when the right call is to send the data to the cloud instead. Anomaly detection and predictive maintenance are the usual fits.

Questions? We've Got Answers

Your IoT Security Questions, Answered.

Clear answers on the four security practices that hold up across thousands of remote devices, and why retrofitting them later is painful.

Featured Answer

How do IoT platforms handle security across thousands of remote devices?

Production IoT security relies on four practices. Unique per-device cryptographic identity established during manufacturing rather than shared credentials. Mutual TLS for all device-to-cloud communication so both sides authenticate. Regular credential rotation handled automatically rather than requiring manual touch. Encrypted firmware with secure boot to prevent tampered code from running. Without these, a single compromised device can extend access across the fleet. Retrofitting security on deployed devices is significantly harder than designing it in.

Book an IoT security architecture audit.

Talk to an IoT engineer

Tech Stack

Technologies We Use

The C, C++, MQTT, AWS IoT Core, and Azure IoT Hub tooling we reach for on production IoT work.

C
C++
Python
MQTT
AWS IoT Core
Azure IoT Hub
InfluxDB
TimescaleDB
Kubernetes
React
RTOS
TensorFlow Lite

Compliance & Standards

Built to Meet Regulations

Engineering practices aligned with IEC 62443, ETSI EN 303 645, FCC Part 15, and the security controls IoT buyers will audit.

IEC 62443
ETSI EN 303 645
FCC Part 15
CE Marking
GDPR / CCPA

The Software Pro Difference

Why Choose Software Pro

The reasons engineering leaders keep coming back, told the way we'd tell them in the room.

Full-Stack IoT Engineering

One team owns firmware, edge software, cloud backend, and the companion app. No handoff gaps where firmware blames cloud and cloud blames firmware.

Security Designed In, Not Retrofitted

Secure boot, per-device identity, and mutual TLS from day one. Security bolted on after deployment is the failure mode that ends in a recall.

30+ Connected Products Shipped

We have seen what breaks between prototype and scaled fleet. OTA, certificate lifecycle, and factory provisioning are in scope, not afterthoughts.

OTA Built Into v1.0

The OTA architecture you ship in v1.0 is the constraint you are stuck with in v1.1. We build it properly at the start, when it is still a design decision.

US Time Zone Alignment

6 to 8 hours of daily overlap with every US timezone. When a device fleet issue surfaces at scale, your team can reach ours in real time.

Certification Experience Included

FCC, CE, and carrier approval timelines are part of every project plan from kickoff. Certification is not a phase that gets discovered at the end.

How We Work

Our IoT Engagement Process

A delivery process built for connected products, where firmware, edge, and cloud have to ship together and certification timelines are non-negotiable.

01

Hardware and Connectivity Review

We review your hardware design, MCU choice, and connectivity stack. If there is a component availability risk or a certification issue, we raise it before the PCB is finalized, not after.

02

Architecture Planning

We define the firmware architecture, OTA strategy, device identity model, and cloud backend design together. These decisions are significantly harder to change once hardware is in hand.

03

Firmware and Edge Development

Firmware and cloud backend development run in parallel from sprint one. OTA is not added later. Every major component has a hardware-in-the-loop test before it ships.

04

Cloud Backend and Dashboards

We build the telemetry ingestion pipeline, device shadow services, and operator dashboards while firmware matures. Integration tests run against real devices on the bench.

05

Controlled Pilot Deployment

A small-fleet pilot catches the issues that only surface in the field: provisioning edge cases, real network conditions, and the support workflows your team will actually need.

06

Production Rollout and Handoff

Scaled deployment uses staged OTA rollouts with health gates. Your team receives documentation and runbooks, and the same engineers who built the system are available for post-launch support.

Client Reviews

What Our Clients Say

All reviews verified and sourced fromClutch.co
Clutch Verified

"Software Pro took off the workload of production from our shoulders entirely. They designed and developed the entire platform from scratch and provided continuous application support. We're already in talks with them for another project."

E-Commerce Development & Application Support

Phillip Tyler

Founder, Kreative Bugs

Brisbane, AustraliaMar 2025
Clutch Verified

"Their commitment to clear communication, timely delivery, and post-launch support truly impressed us. They delivered a robust, scalable website with visually stunning design. Post-launch training and troubleshooting ensured we could manage everything independently."

Web Development & UI/UX Design

Daniel Foster

Manager, Bulvar Global

Lisbon, PortugalMar 2025
Clutch Verified

"Software Pro helped us where other development teams couldn't. One of our client sites saw a 13% organic increase within one month of their technical work. The team always delivers on time and goes above and beyond to meet expectations. They are amazing!"

Custom Software Development & Web Optimization

Michael Bennett

Executive, Custom Digital Solutions

Charleston, SCNov 2024
View All Clutch Verified Reviews

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Common Questions

Questions IoT product teams ask before they engage on firmware, OTA, or cloud platform work.

Can you work with our existing hardware design?
Yes. We integrate with whatever your EE team has settled on, work to the MCU or SoC datasheet rather than fighting it, and build the HAL and connectivity stack to match. When we have an opinion on the hardware (a part with poor long-term availability, an RF front-end that will not survive certification), we raise it before the PCB freezes, not after.
How do you handle OTA firmware updates securely?
Signed bundles verified against a key in OTP or a secure element, A/B partitioning or dual-bank fallback so a bad image rolls back automatically on watchdog reset, differential updates to keep cellular bills sane, and staged rollouts with cohort-level health gates that pause the campaign on telemetry regressions. The point is not 'we have OTA.' The point is that a bad firmware shipped on a Friday does not bring you back on Saturday.
What cloud platform do you recommend for IoT backends?
It depends on three things: where the rest of your stack lives, how much device-side identity logic you need, and how much you want to own. AWS IoT Core with Timestream and Kinesis fits AWS-centric teams. Azure IoT Hub with Digital Twins and Event Hubs fits Microsoft shops. EMQX or a custom Mosquitto cluster fronted by Kafka is what we build when the off-the-shelf rule engines run out, which usually means high-cardinality fleets or low-margin per-device economics.
Can you add AI or machine learning to our edge devices?
Yes, with a caveat we always raise: the question is rarely 'can the model run on the device' but 'should it.' We deploy TensorFlow Lite Micro and ONNX Runtime quantized models for anomaly detection, predictive maintenance, and lightweight vision, and we are happy to tell you when the latency, power, or accuracy budget says do it in the cloud instead. Edge inference looks free until you watch the battery curve.
How long does an IoT product typically take to ship?
Working prototype in 8 to 12 weeks if the hardware exists. Beta-quality firmware, cloud backend, and a companion app for a controlled pilot in 4 to 6 months. The gap from pilot to scaled production is almost always longer than teams expect, because that is where OTA, certificate lifecycle, factory provisioning, and certification (FCC, CE, carrier approvals if cellular) actually happen. Plan 9 to 14 months from kickoff to a fleet you can support at scale.

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