IoT Solutions and Consultancy
By combining the physical and the digital world, you can add value to your business. Internet of Things allows you to gain valuable insights. Take advantage of this massive opportunity. Kickstart your IoT now with Codit.
About IoT
IoT is a game changer, and it is time to take up the challenge while steering clear of technical challenges. You need to connect your devices and collect their valuable data. Let Codit design, build and run your IoT architecture while you focus on creating value.
How to get started with IoT
We’re sure that you have some excellent ideas how the Internet of Things could revolutionize your company. Codit helps to realize your ideas with our expertise on:
Connecting your systems and devices to the cloud without giving in on security, performance and flexibility.
Intelligently capturing, aggregating and securing information from your devices.
Using Big Data and analytics to make informed business decisions.
Automating your business based on statistics and predictions.
Get started with IoT quickly and easily
Launch your IoT projects without complexity thanks to a proven methodology and ready-to-use tools.
Choose a secure, open, and scalable platform
Benefit from a flexible, interoperable IoT infrastructure that meets the highest security standards.
Measure, analyze, predict and automate
Turn your data into operational decisions through advanced analytics and intelligent automation.
Gain deeper insights and step ahead of your competitors
Use actionable business insights to enhance your performance and strengthen your strategic positioning.
Why work with us for your IoT Integration
Codit is the leading Microsoft Azure integration partner in Europe, which brings significant added value to your IoT projects. Our proven methodology has been validated in hundreds of successful projects. Innovative tools like Nebulus™ offer a fast start for IoT, with out-of-the-box connectivity for many standard protocols. Operational and management costs can be reduced through Codit’s customer support services.
Work with our experienced and dedicated teams to benefit from the highest quality standards.
Expertise in Azure IoT Solutions
IoT is not just about connecting objects to the Internet — it’s a domain that requires deep expertise in IT architecture, cloud technologies, databases, and integration. Codit brings all of this to your project.
To design and build your IoT solution, we smartly combine our own tools, components, and proven project methodology. As a Microsoft partner, our understanding of Azure technologies is unmatched. This enables us to accelerate delivery and ensure long-term project sustainability. We also collaborate with IoT enablers such as Sigfox.
Get support in areas such as data capture and transmission, storage, data integration, and analytics. For example, enriching your telemetry data with third-party historical data can significantly improve insight and interpretation.
When you’re ready to tackle the IoT challenge, we’ll equip you with the tools to start predicting the future. Our products, services, and areas of expertise include:
- Consulting
- Development
- Microsoft Azure IoT: IoT Hub, IoT Edge, IoT Central, and IoT solution accelerators
- Nebulus™ IoT Gateway
- Customer support
A word from the client
“We wanted to offer real and tangible benefits, not a vague promise. And, with Codit’s help, that’s exactly what our IoT solution does. We are now determining value propositions for our other divisions, to expand this success throughout our business.”
Stuart Bashford, Digital Officer, Corporate Technology Department, Bühler
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Identifying high-value IoT use cases starts with a cross-analysis of business processes, operational pain points, and untapped data sources. The most profitable cases are those that significantly reduce costs (predictive maintenance, energy optimization), increase productivity (automation, real-time monitoring), or generate new revenue streams (connected services, personalized offers). An iterative approach based on targeted POCs and clear performance indicators helps prioritize high-impact scenarios while minimizing risk.
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Securing IoT data requires a layered architecture incorporating encryption of data in transit and at rest, strong device authentication, network segmentation, and active anomaly monitoring. It's essential to integrate security mechanisms from the design phase (secure by design) and rely on certified cloud platforms compliant with standards such as ISO 27001 and GDPR. Centralized identity management tools, secure firmware updates, and a SIEM connected to IoT data streams help maintain continuous protection at a high level.
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To ensure interoperability, it's best to use widely adopted and well-documented protocols in industrial or cloud ecosystems. Key open and robust options include MQTT (Message Queuing Telemetry Transport), AMQP (Advanced Message Queuing Protocol), CoAP (Constrained Application Protocol), and OPC-UA (Open Platform Communications – Unified Architecture). These protocols support reliable communication between sensors, gateways, cloud platforms, and analytics tools. Additionally, using RESTful APIs and standardized data formats (JSON, XML) simplifies integration with third-party systems.
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Integrating IoT with analytics tools requires a data pipeline architecture tailored to the volume, variety, and velocity of IoT flows. This involves using platforms capable of ingesting real-time data streams, organizing them into data lakes or warehouses (Azure Data Lake, Synapse, etc.), and exposing them through connectors to BI tools (Power BI, Tableau, Qlik). Aligning data models and governance is critical to ensure coherent, actionable insights that serve business decision-making.
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Choosing between a public, private, or hybrid cloud depends on several factors: data confidentiality, regulatory requirements, scalability needs, latency sensitivity, and integration with existing systems. A public cloud is well suited for projects requiring rapid scalability and global deployment. A private cloud offers greater control over sensitive or mission-critical environments. A hybrid approach, combining the best of both, provides optimal flexibility while addressing local constraints. It's particularly relevant in sectors where data proximity and resilience are crucial, such as manufacturing, healthcare, and finance.