IoT Solution Development — Sensor to Insight, Delivered
75% of IoT projects stall at proof-of-concept because they lack the cross-disciplinary expertise to reach production. Opsio's IoT solution architects deliver end-to-end platforms — device connectivity, edge computing, cloud infrastructure, streaming data pipelines, and analytics — on AWS IoT Core and Azure IoT Hub.
Trusted by 100+ organisations across 6 countries
100+
IoT Projects
AWS IoT
Certified
Edge
Computing
Millions
Devices Managed
What's Included
Device Connectivity & Provisioning
Secure device connectivity via MQTT, HTTP, CoAP, LoRaWAN, NB-IoT, and LTE-M cellular. Automated device provisioning with X.509 certificates, fleet-wide OTA firmware updates with staged rollout and automatic rollback, and complete device lifecycle management from factory registration through field deployment to decommissioning.
Edge Computing Platform
AWS Greengrass and Azure IoT Edge deployments for local data processing, ML inference at the edge, real-time alerting, and store-and-forward during connectivity outages. Edge computing reduces latency for time-critical decisions, ensures operation during network disruptions, and cuts cloud data transfer costs by 60-80%.
Cloud IoT Platform Architecture
AWS IoT Core or Azure IoT Hub integration with device shadows/twins, rules engine configuration, device management policies, and defence-in-depth security. We architect platforms that scale from hundreds to millions of devices without redesign — built on cloud-native services that auto-scale with your fleet.
Streaming Data Pipeline
Real-time data ingestion via Kinesis, Event Hubs, or Kafka with stream processing for alerting, aggregation, and anomaly detection. Time-series storage in InfluxDB or TimescaleDB for operational analytics, plus data lake integration on S3 or ADLS for historical analysis and ML model training.
Analytics & Visualisation
Real-time operational dashboards, historical trend analysis, anomaly detection, and predictive analytics built as custom web and mobile applications. We transform raw IoT telemetry into actionable business intelligence for operators, managers, and executives — not just charts of sensor readings.
Custom IoT Applications
Mobile and web applications for device management, monitoring, alerting, and reporting. White-label solutions for connected product manufacturers who need customer-facing IoT portals with multi-tenant architecture, branded experiences, and self-service device onboarding for end customers.
Free consultation
Talk to an expert about IoT Solution Development
Tell us briefly what you need. A specialist replies within one business day — free and without obligation.
- Reply within one business day
- No obligation
- Certified cloud engineers
Opsio's focus on security in the architecture setup is crucial for us. By blending innovation, agility, and a stable managed cloud service, they provided us with the foundation we needed to further develop our business. We are grateful for our IT partner, Opsio.
Jenny Boman
CIO · Opus Bilprovning
IoT Platforms From Sensor to Business Insight
Building production-grade IoT requires expertise across hardware integration, networking protocols, edge computing, cloud platform architecture, data pipeline engineering, security, and analytics visualisation. Most organisations lack this cross-disciplinary skill set internally, leading to fragmented IoT projects that stall at proof-of-concept stage — working in the lab but failing in production when device counts scale, connectivity becomes unreliable, and data volumes overwhelm ad-hoc architectures. Opsio's IoT solution architects have delivered 100+ production IoT platforms across manufacturing, logistics, smart buildings, agriculture, and connected products. We build on AWS IoT Core, Azure IoT Hub, or hybrid architectures — handling every layer of the IoT stack. Device provisioning with X.509 certificates and automated fleet onboarding. Secure connectivity via MQTT, LoRaWAN, NB-IoT, and cellular protocols. Edge processing with AWS Greengrass or Azure IoT Edge for local analytics and store-and-forward during network outages. Streaming data pipelines on Kinesis, Event Hubs, or Kafka for real-time ingestion. Time-series storage in InfluxDB or TimescaleDB for historical analysis. And custom analytics dashboards that transform raw telemetry into actionable business intelligence.
The gap between a working IoT prototype and a production platform is massive — and it's where most IoT initiatives die. Production IoT requires handling thousands of devices that connect and disconnect unpredictably, OTA firmware updates that can't brick devices in the field, edge-to-cloud data synchronisation with guaranteed delivery, security that prevents devices from becoming attack vectors, and analytics that deliver insights rather than drowning operators in raw data. Opsio's IoT solution architects have solved every one of these challenges across 100+ deployments.
Every Opsio IoT platform includes comprehensive device lifecycle management from factory registration through field deployment to decommissioning, secure OTA firmware update infrastructure with staged rollout and automatic rollback, edge computing for latency-critical processing and offline operation, cloud-native scalability that handles growth from hundreds to millions of devices without rearchitecting, and real-time analytics dashboards with configurable alerting and historical trend analysis. The complete IoT stack — designed for production reliability from day one.
Common IoT development challenges we solve: devices that work in the lab but fail in production environments with intermittent connectivity, data pipelines that can't handle burst traffic from thousands of devices reporting simultaneously, analytics dashboards that show raw telemetry instead of actionable business insights, security vulnerabilities from default credentials and unencrypted communication, and edge gateways that lose data during network outages because store-and-forward wasn't implemented. If your IoT initiative has stalled for any of these reasons, Opsio can get it back on track.
Whether you're building a connected product that needs a customer-facing IoT portal, instrumenting a factory for operational intelligence, tracking assets across a global supply chain, or monitoring building systems for energy optimisation — Opsio's IoT solution architects design and deliver the complete platform. We provide IoT architecture consulting for organisations that want to build in-house, full development and deployment for those that want a turnkey solution, and managed IoT platform operations for ongoing device management and analytics. Wondering about IoT development costs, platform selection, or whether to build versus buy? Our IoT architecture assessment gives you a clear answer with a detailed technology roadmap and realistic cost model. Featured reading from our knowledge base: Top Yii Development Company for Custom Solutions, Custom Enterprise Software Development Company Guide: FAQ, and Finding the Perfect Custom Web Application Development Company – Opsio. Related Opsio services: Agentic AI Development: Build Production AI Agents, AI Development & Integration: Production AI, Shipped, and Enterprise RAG Chatbots — Grounded in Your Data.
How Opsio Compares
| Capability | DIY / In-House Build | Hardware Vendor Platform | Opsio IoT Development |
|---|---|---|---|
| Protocol coverage | 1-2 protocols | Vendor protocols only | MQTT, LoRaWAN, NB-IoT, OPC-UA+ |
| Edge computing | Basic or none | Vendor gateway only | AWS Greengrass / Azure IoT Edge |
| Cloud platform | Custom (fragile) | Vendor lock-in | AWS IoT Core or Azure IoT Hub |
| Scalability | Redesign at scale | Vendor-dependent | Millions of devices, cloud-native |
| Analytics | Basic dashboards | Pre-built reports | Custom BI + predictive analytics |
| Time to production | 6-12 months | 3-6 months | 10-16 weeks |
| Typical annual cost | $300K+ (team + infra) | $80-150K (license + lock-in) | $100-344K (fully managed) |
Ready to get started?
What You Get
Pricing & Investment Tiers
Transparent pricing. No hidden fees. Scope-based quotes.
IoT Architecture Assessment
$15,000–$30,000
1-3 week engagement
Platform Development
$40,000–$100,000
Most popular — full platform
Managed IoT Operations
$5,000–$12,000/mo
Ongoing operations
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
Why Choose Opsio for Cloud Services
100+ IoT projects delivered
Production platforms across manufacturing, logistics, smart buildings, agriculture, and connected products.
Certified IoT solution architects
AWS IoT Core and Azure IoT Hub certified architects with hands-on production deployment experience.
Multi-protocol expertise
MQTT, OPC-UA, Modbus, LoRaWAN, NB-IoT, cellular — reliable connectivity for any environment.
Edge-first architecture
Production AWS Greengrass and Azure IoT Edge deployments for offline operation and low-latency processing.
Scales to millions
Cloud-native platform architecture designed to grow from prototype to millions of devices without rearchitecting.
Full stack delivery
Device firmware through cloud platform to analytics dashboard — no gaps between layers.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our 4-Phase Delivery Process
Architecture & Planning
Define use cases, select connectivity protocols, design end-to-end IoT platform architecture with device, edge, cloud, and application layers. Deliverable: IoT architecture blueprint and technology roadmap. Timeline: 1-3 weeks.
Platform Development
Deploy cloud IoT platform, implement device provisioning, build streaming data pipelines with edge computing, configure security policies, and develop analytics dashboards. Deliverable: working platform with connected pilot devices. Timeline: 4-8 weeks.
Integration & Validation
Connect production devices, validate end-to-end data flow reliability under real conditions, load test for target device count, and build custom applications with role-based views. Timeline: 3-4 weeks.
Operations & Scaling
Ongoing device lifecycle management, platform monitoring, performance optimisation, OTA update management, and fleet scaling as you add devices and locations. Opsio becomes your IoT operations team. Timeline: Ongoing.
Key Takeaways
- Device Connectivity & Provisioning
- Edge Computing Platform
- Cloud IoT Platform Architecture
- Streaming Data Pipeline
- Analytics & Visualisation
Industries Served by Opsio
Manufacturing
Equipment monitoring, OEE tracking, process optimisation, and quality analytics from production data.
Logistics & Transport
Asset tracking, cold chain monitoring, fleet management, and supply chain visibility platforms.
Smart Buildings
Energy management, occupancy analytics, HVAC optimisation, and indoor environmental monitoring.
Agriculture
Soil moisture, weather, crop condition, and irrigation control for precision farming operations.
IoT Solution Development — Sensor to Insight, Delivered — FAQ
What does an IoT solution architect do?
An IoT solution architect designs the complete technology stack for connected device platforms — from device hardware and connectivity protocols through edge computing and cloud platform architecture to data pipelines and analytics applications. They make critical decisions about protocol selection (MQTT vs HTTP vs LoRaWAN), cloud platform choice (AWS IoT Core vs Azure IoT Hub), edge computing requirements, data storage architecture, security design, and scalability patterns. Opsio's IoT solution architects combine this technical design expertise with hands-on implementation experience from 100+ production deployments, ensuring architectures that work in the real world, not just on whiteboards.
Should we use AWS IoT Core or Azure IoT Hub?
AWS IoT Core is ideal for organisations already invested in AWS with its mature IoT-specific ecosystem including Greengrass for edge computing, SiteWise for industrial data, and TwinMaker for digital twins. Azure IoT Hub suits Microsoft-centric environments with strong integration to Dynamics 365, Power BI, and Azure Digital Twins. Google Cloud IoT is best for organisations leveraging BigQuery and Vertex AI for IoT analytics. We evaluate based on your existing cloud platform, team expertise, integration requirements, and edge computing needs — then recommend the architecture that balances capability, cost, and long-term flexibility.
How do you handle IoT device security?
We implement defence-in-depth security across every IoT layer: X.509 certificate-based authentication with per-device identity, mutual TLS for all device-to-cloud communication, secure boot chains preventing firmware tampering, encrypted at-rest storage on devices, OTA update signing and verification preventing malicious firmware injection, network segmentation isolating IoT devices from corporate networks, and rate limiting preventing denial-of-service from compromised devices. Device credentials are managed through cloud IoT platform identity services with automated certificate rotation. Security is designed into the architecture from day one, not bolted on after deployment.
How much does IoT solution development cost?
IoT investment varies by scope. An IoT architecture assessment and strategy engagement runs $15,000-$30,000 (1-3 weeks) and delivers a technology roadmap with cost projections. Proof of concept with 5-20 devices costs $40,000-$80,000 including platform development, device connectivity, and analytics dashboards. Full production platform deployment ranges from $80,000-$200,000 depending on device count, protocol complexity, edge requirements, and analytics scope. Ongoing managed IoT platform operations cost $5,000-$12,000/month covering device management, monitoring, OTA updates, and platform maintenance. Most clients start with an architecture assessment to validate their approach before committing to development.
How long does an IoT platform deployment take?
A proof of concept with limited devices typically takes 6-10 weeks. Full production platform deployment takes 10-16 weeks including device provisioning, edge computing, streaming data pipelines, security hardening, analytics dashboards, and custom application development. Timeline depends on device count, protocol diversity, edge computing complexity, integration requirements with existing systems, and custom application scope. We can accelerate timelines by deploying in phases — getting core connectivity and dashboards live first, then adding advanced analytics, edge computing, and custom applications incrementally.
Can you build IoT platforms for connected products?
Yes — connected product IoT is one of our core specialties. We build white-label IoT platforms for manufacturers who need customer-facing portals with multi-tenant architecture, branded experiences, self-service device onboarding, and per-customer analytics dashboards. The platform handles device provisioning at manufacturing time, field activation by end customers, OTA firmware updates, real-time monitoring, and customer support tools. We design for the unique requirements of connected products: varied network environments (customer WiFi, cellular, LoRaWAN), consumer-grade onboarding UX, privacy compliance across jurisdictions, and support for heterogeneous device hardware across product generations.
What is edge computing and when do we need it?
Edge computing processes data locally on devices or gateways near the data source rather than sending everything to the cloud. You need edge computing when: latency matters (sub-second responses for industrial control or safety alerts), connectivity is unreliable (intermittent network in factories, remote sites, or mobile assets), data volumes are too large to send to the cloud cost-effectively (high-frequency sensor data from hundreds of devices), or local ML inference is required (real-time anomaly detection, visual inspection). Opsio deploys edge computing on AWS Greengrass or Azure IoT Edge with store-and-forward capability, ensuring devices operate autonomously during network outages and synchronise when connectivity returns.
How do you handle OTA firmware updates at scale?
OTA (Over-the-Air) firmware updates are critical for IoT security, bug fixes, and feature delivery — but they're also dangerous because a failed update can brick devices in the field. Opsio implements safe OTA update infrastructure with: cryptographic signing to prevent tampering, staged rollout deploying updates to a small percentage of devices first, automatic health checks after update that trigger rollback on failure, bandwidth-aware scheduling to avoid overwhelming network capacity, A/B partition schemes that preserve the previous firmware for instant rollback, and comprehensive update status tracking across the entire fleet. This approach ensures reliable updates at any fleet size — from hundreds to millions of devices.
What protocols should we use for IoT device connectivity?
Protocol selection depends on your environment, power constraints, data requirements, and range. MQTT is the default for most IoT applications — lightweight, reliable, and well-supported by AWS IoT Core and Azure IoT Hub. LoRaWAN provides kilometre-range connectivity with multi-year battery life for low-data-rate sensors in agriculture, smart cities, and campus deployments. NB-IoT and LTE-M cellular cover wide-area mobile assets where WiFi and LoRaWAN aren't available. OPC-UA is the standard for industrial equipment integration. CoAP suits extremely constrained devices. We often use multiple protocols in a single deployment — for example, LoRaWAN for remote sensors, MQTT for gateways, and OPC-UA for factory equipment.
Should we build IoT in-house or hire an IoT solution development company?
For most organisations, engaging an IoT solution development company is faster and more cost-effective than building an in-house IoT team. Production IoT requires expertise across embedded systems, networking protocols, cloud platform architecture, data engineering, security, and application development — that's 4-6 specialists at $150,000-$200,000 each, totalling $600,000-$1.2M/year before your first device connects. Opsio delivers a production IoT platform for $40,000-$200,000 in 10-16 weeks, plus $5,000-$12,000/month for operations. We also bring cross-project learnings about protocol edge cases, scaling patterns, and security vulnerabilities that new teams discover through costly trial and error.
Still have questions? Our team is ready to help.
Ready to Build Your IoT Platform?
75% of IoT projects stall at POC. Get a free IoT architecture assessment from certified IoT solution architects and a clear roadmap to production.
IoT Solution Development — Sensor to Insight, Delivered
Free consultation