Opsio - Cloud and AI Solutions
Internet of Things

IoT Services Provider

IoT connects your physical operations to digital intelligence — but the gap between a sensor prototype and a production-grade IoT platform is enormous. Opsio designs and builds IoT solutions that scale from hundreds to millions of devices, with secure connectivity, real-time data processing, and analytics that turn sensor data into operational decisions.

Trusted by 100+ organisations across 6 countries · 4.9/5 client rating

1M+

Devices Supported

<100ms

Edge Processing

99.99%

Platform Uptime

24/7

Monitoring

AWS IoT Core
Azure IoT Hub
MQTT
Edge Computing
Kubernetes
Time-Series DB

Connect Physical Operations to Digital Intelligence

IoT promises real-time visibility into physical operations — equipment health, environmental conditions, asset location, and production metrics streamed to dashboards and analytics platforms. But most IoT projects stall between prototype and production. The proof-of-concept that worked with 10 sensors breaks at 10,000. Data volumes overwhelm traditional databases. Device security becomes a nightmare when firmware updates must reach thousands of endpoints. Edge computing requirements demand a distributed architecture that most cloud-only teams have never built. Opsio delivers production-grade IoT platforms built on AWS IoT Core, Azure IoT Hub, or open-source stacks (MQTT, InfluxDB, Grafana). We handle the full stack: device connectivity and provisioning, edge computing with AWS Greengrass or Azure IoT Edge, data ingestion pipelines capable of processing millions of messages per second, time-series storage and analytics, and application dashboards that give operators actionable insights. Our platforms are designed for scale from day one — device provisioning, certificate management, over-the-air firmware updates, and fleet management for thousands of devices.

Security is built into every layer. Device identity using X.509 certificates, encrypted communication over TLS, secure boot for edge gateways, and network segmentation between IoT and corporate networks. We implement the NIST IoT security framework and design for the reality that IoT devices operate in physically accessible, often hostile environments where traditional perimeter security does not apply.

Device Connectivity & ManagementInternet of Things
Edge ComputingInternet of Things
Data Pipeline & StorageInternet of Things
Analytics & DashboardsInternet of Things
IoT SecurityInternet of Things
AWS IoT CoreInternet of Things
Azure IoT HubInternet of Things
MQTTInternet of Things
Device Connectivity & ManagementInternet of Things
Edge ComputingInternet of Things
Data Pipeline & StorageInternet of Things
Analytics & DashboardsInternet of Things
IoT SecurityInternet of Things
AWS IoT CoreInternet of Things
Azure IoT HubInternet of Things
MQTTInternet of Things
Device Connectivity & ManagementInternet of Things
Edge ComputingInternet of Things
Data Pipeline & StorageInternet of Things
Analytics & DashboardsInternet of Things
IoT SecurityInternet of Things
AWS IoT CoreInternet of Things
Azure IoT HubInternet of Things
MQTTInternet of Things

What We Deliver

Device Connectivity & Management

Device onboarding, certificate-based authentication, fleet management, and over-the-air firmware updates using AWS IoT Core, Azure IoT Hub, or custom MQTT brokers. Support for MQTT, AMQP, HTTP, and CoAP protocols across constrained and full-featured devices.

Edge Computing

Edge processing using AWS Greengrass, Azure IoT Edge, or custom edge runtimes on industrial gateways. Local data filtering, aggregation, anomaly detection, and ML inference at the edge — reducing cloud data transfer costs and enabling real-time response without network latency.

Data Pipeline & Storage

Scalable data ingestion pipelines handling millions of messages per second using Kafka, Kinesis, or IoT rules engines. Time-series storage with InfluxDB, TimescaleDB, or Amazon Timestream optimized for high-write, high-query IoT workloads.

Analytics & Dashboards

Real-time operational dashboards using Grafana, custom web applications, or Power BI. Anomaly detection, predictive maintenance models, and historical trend analysis that turn raw sensor data into operational intelligence.

IoT Security

End-to-end security: X.509 certificate management, TLS encryption, secure boot, network micro-segmentation, and continuous vulnerability monitoring. Designed for the NIST IoT Cybersecurity Framework with device lifecycle security from provisioning to decommissioning.

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Why Choose Opsio

Production-Scale Experience

We build IoT platforms that work at scale — thousands to millions of devices, millions of messages per second, years of time-series data.

Full-Stack IoT

Device connectivity, edge computing, cloud platform, analytics, and security from one team. No gaps between hardware and software specialists.

Cloud-Native Architecture

IoT platforms built on AWS IoT, Azure IoT, or Kubernetes with auto-scaling, high availability, and managed operations.

Security First

IoT security is not optional. Every platform includes device authentication, encrypted communication, and network isolation by default.

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 Delivery Process

01

Discovery

Understand device types, data requirements, connectivity constraints, and analytics objectives. Timeline: 1-2 weeks.

02

Architecture

Design IoT platform architecture covering devices, edge, cloud, data, and security layers. Timeline: 2-3 weeks.

03

Build

Implement device connectivity, data pipelines, analytics dashboards, and security infrastructure. Timeline: 8-16 weeks.

04

Scale & Operate

Production deployment, fleet expansion, ongoing monitoring, and platform optimization. Timeline: ongoing.

Key Takeaways

  • Device Connectivity & Management
  • Edge Computing
  • Data Pipeline & Storage
  • Analytics & Dashboards
  • IoT Security

IoT Services Provider FAQ

What IoT platforms does Opsio work with?

Opsio builds on AWS IoT Core, Azure IoT Hub, and open-source stacks (Eclipse Mosquitto MQTT, InfluxDB, Grafana, Kafka). Platform selection depends on your existing cloud investment, device count, required features, and budget. For clients with multi-cloud strategies, we build platform-agnostic architectures using open protocols (MQTT) and portable components.

How do you handle IoT security?

Security is built into every layer: X.509 certificate-based device authentication, TLS 1.3 encrypted communication, secure boot for edge gateways, network micro-segmentation isolating IoT from corporate networks, and automated vulnerability scanning. We follow the NIST IoT Cybersecurity Framework and design for devices operating in physically accessible environments.

What is edge computing and when is it needed?

Edge computing processes data on local gateways near the devices rather than sending everything to the cloud. It is needed when you require real-time response (sub-100ms latency), have limited network bandwidth, need to reduce cloud data transfer costs, or must process sensitive data locally for regulatory compliance. Opsio implements edge computing on AWS Greengrass, Azure IoT Edge, or custom runtimes.

How much does an IoT platform cost?

IoT platform costs depend on device count, data volume, and analytics complexity. A pilot platform for 100-500 devices typically costs $30,000-$80,000 to build with $2,000-$5,000/month in cloud costs. Production platforms for 10,000+ devices cost $100,000-$300,000 to build with cloud costs scaling based on data volume. Opsio provides detailed cost models during the architecture phase.

Still have questions? Our team is ready to help.

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Editorial standards: Written by certified cloud practitioners. Peer-reviewed by our engineering team. Updated quarterly.
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