Scalable Iot Solutions: Clean, Serverless, Independent.

IoT Architectures for Industry 4.0 Applications: process millions of data points daily, generate real-time insights, scale automatically.

We build your solution with you, instead of for you – completely without dependencies.

Mastering Challenges

We solve this. Every day.

Scaling Risk

From 10 prototypes to 10,000 real devices. How does it work?

Prototypes based on classic server infrastructure often fail during mass-market rollouts. Building an elastic architecture that scales automatically with the number of devices is complex and requires significant expertise that may be lacking internally.

Solution: Managed Serverless IoT Infrastructure.
Unlimited scaling through a future-proof foundation. No constant redesigning or expensive reconstruction necessary.

Data Volume & Costs

Millions of data points per day. Now what?

Efficient processing of millions of time-series data points requires specialized databases and fast queries. Traditional solutions result in high storage costs.

Solution: Serverless Data Lake.
Efficient and scalable thanks to pay-per-use storage and specialized time-series databases

Legacy Integration

Old machines, new cloud?

Connecting heterogeneous industrial protocols (e.g., OPC UA or Modbus) to modern cloud systems is complex. Different data formats, states, and protocols must be reliably translated and integrated.

Solution: Edge processing and translation.
Machine data is transformed near the source, standardized, and transferred to the cloud in a structured format.

Your team knows machines, but not the cloud?

Cloud-native IoT development requires specific expertise that is often lacking in development teams. Reliance on external experts slows down innovation.

Enabling approach:
We transfer our know-how to your existing team hands-on to build up internal expertise.

Our Implementations

Success Stories

In Industrial IoT (IIoT), measurable facts and an architecture that performs under load are what matters.

We focus on clarity and serverless precision.

Serverless Data Lake

Customer: KSB SE & Co. KGaA

Challenge:

Massive amounts of IoT data
no large dedicated team available
ETL processes and architecture must scale with growing requirements

Solution:

Simplified ETL processes
Optimized data structure
Serverless architecture scales easily with growing data volumes
Stable foundation with established best practices

Impact:

Backend for Smart Pump Monitoring

Customer: M-Tribes GmbH

Challenge:

Processing and management of large volumes of IoT data
Enable real-time monitoring
Efficient processing of data for the frontend

Solution:

Stable IoT communication for real-time transmission
Algorithms for processing and analyzing incoming data streams
Processing and providing data for visualization

Impact:

Freedom of Choice

Creating Independence

Serverless-First for IoT

What does that mean? We build your IoT architecture with managed services: e.g., AWS IoT Core, Lambda, DynamoDB, S3, Timestream. No servers, no VMs, no maintenance effort.

Your Benefits

Automatic Scaling: Unlimited growth from prototype to mass production – without capacity planning.
Pay-per-use: You only pay for actual usage. No fixed costs for idle servers.
Features in focus: Your team concentrates on value creation, not server maintenance.
Reliability: 99.9% availability through AWS Managed Services.

Specifically: Fast implementation & quick adaptation to changes.

Enabling: Crafting Your Independence.

Our promise: We don’t just develop, we pass on our know-how to your team hands-on. This way, you will be able to operate and further develop your product independently as quickly as possible.

How the knowledge transfer works:

Specifically: With us, you do not build new dependencies, but rather develop internal expertise.

Your Win:

Architecture Overview

How IoT Systems Are Made

IoT projects rarely fail because of the devices, but rather because of the architecture behind them. We develop cloud-native IoT systems that reliably process millions of events, grow flexibly, and remain maintainable in the long term.

From device connectivity to analysis, we design every component to remain stable under load and operate cost-effectively.

Technology that works.

Devices and Connectivity

Robust operations. Connecting devices is more than just connectivity. Different protocols, varying connection quality, and consistent device states determine how reliably a system functions in operation.

Protocols: MQTT, HTTP, or proprietary – depending on the scenario.
Edge Logic: Processing close to the source.
Consistency: Synchronized states between device and cloud.

Data Input

Stable under load. Incoming data streams are reliably accepted, distributed, and organized so that no bottlenecks occur even under high load.

Parallelism: Many simultaneous events without delays.
Routing: Targeted forwarding along defined data flows.
Peak load: Manageable without congestion or data loss.

Processing & Logic

Reacts in real time. Events are processed immediately, enriched, and transferred into workflows – from simple alarming to predictive analytics.

Event-driven: Reacts immediately to incoming events.
Orchestration: Processes clearly defined and controlled.
Automation: The foundation for further processes.

Data Storage

Specialization reduces costs. Different data types are specifically stored in optimized storage systems for performance in access and efficiency in long-term archiving. Different data types are specifically stored in optimized storage systems for performance in access and efficiency in long-term archiving.

Time-Series: Efficiently store continuous sensor data.
States: Fast access to current values.
Long-term Data: Cost-effective Archiving.

Analysis & Visualization

Data becomes understandable. Results are available where they are needed: in dashboards, applications, or operational processes.

Up-to-dateness: Relevant information is immediately available.
Context: Data is processed and categorized in an understandable way.
Interfaces: Usage via APIs and applications.

Security & Operations

Security is not an add-on. Devices authenticate themselves securely, communication is encrypted throughout, and compliance requirements are systematically met.

Identities: Uniquely authenticated devices and systems.
Encryption: Protection of communication and data.
Monitoring: Traceable statuses and anomalies.

The Path To The Product

From Idea to Scale

IoT projects are complex. That is why we focus on maximum transparency. Our process is short-cycled, result-oriented, and has a clear goal: accelerate market entry and make your team independent.

In short: Plan, code, test, repeat.

Step 1

Quick Check-In

Focus: Collaborative reality check, requirements analysis, and definition of epics for your MVP. Creation of the serverless blueprint and interface definition.

Deliverable: MVP roadmap with clear time and budget estimates.

Step 2

Infrastructure Setup

Focus: Implementation of the reusable architecture via Infrastructure as Code (IaC). Setting up the DevOps and CI/CD pipelines.

Your benefit: We establish a stable foundation: serverless-first and secure from the start.

Step 3

Agile Development

Focus: Feature-driven development of core logic. Parallel to this, know-how transfer takes place through pair programming and code reviews.

Your benefit: Your team builds internal expertise directly through practice and sees early results through continuous deployments.

Step 4

Rollout & Scaling

Focus: Load testing, security audits, and a gradual rollout to the first devices in the field (no big-bang go-live).

Your benefit: Proof-of-Scale. We prove that the architecture remains stable under load and can scale.

Step 5

Operation & Autonomy

Focus: Handover of stable operations (handoff), ongoing monitoring, and continuous cost optimization.

Your benefits: Stable operation and full autonomy for your team. We remain on board as a sparring partner for as long as you wish.

“Fast, reliable, and extremely professional”

Lenard Vorpahl · Product Manager Digitalization · KSB SE & Co. KGaA

Technological Foundation

Our IoT Technologies

AWS IoT Services

☁️ AWS IoT Core

🌱 AWS IoT Greengrass

🏭 AWS IoT SiteWise

🔄 AWS IoT Events

🏗️ AWS IoT TwinMaker

Data Processing

⚡ AWS Lambda

🔁 Step Functions

📈 Kinesis Data Streams

🧠 SageMaker

Databases

⏱️ Amazon Timestream

⚡ DynamoDB

🗄️ S3 + Athena

🐘 RDS Aurora

Protocols & Integration

📡 MQTT / MQTTS

🔧 OPC UA

🔌 Modbus TCP/RTU

🌐 REST / GraphQL

📨 AMQP / Kafka

Secure From The Start

IoT Security
by Design

Device Authentication

Data Encryption

Network Security

Compliance

What Our Customers Are Say

Made For Engineers

The combination of their profound technical know-how, their quick adaptability to new circumstances, and their constant commitment to quality makes our partnership especially valuable.

Jochen Mades · Head of Development Competence Platforms · KSB SE & Co. KGaA

Working with Intenics was a clear choice for us. Their track record and expertise provided invaluable contributions to our serverless IoT projects from start to finish.

Marian-Maximilian Martens · Co-Founder & CRO · M-TRIBES GmbH

A reliable base for the development of future features.

Tobias Klunke · Director Machine Diagnostics · KSB SE & Co. KGaA

Clear Architecture In 45 Minutes

Start For Free

Free 45-minute IoT Architecture Check: We analyze your use case, outline an architecture, and estimate effort + costs.

What You Can Expect

45 minutes with an IoT Architect
Analysis of your specific use case
Architecture Sketch (High-Level)
Effort estimation (timeframe and budget)
Best Practice Insights
No obligation: honest, technical consultingh
Guaranteed response

Name

Company

Email address

Phone number

Your IoT challenge?

Briefly describe your use case

Questions & Answers

Good To Know

What internal requirements do we need to establish to successfully implement an IoT project?

Successful IoT projects are not just IT projects. It is important to bring business and technology together early on to create a common understanding of goals and benefits. We help clarify the right questions, identify relevant data, and work together to develop a clear direction for the project.

How can we tell if an IoT project is economically viable?

The concrete business impact is what matters: e.g., reduced downtime, more efficient processes, or new services. Together, we define measurable goals and check early in the project whether these can be achieved – before major investments become necessary.

How do we integrate IoT into our existing IT and system landscape?

A central theme is the integration into existing systems such as ERP, MES, or data platforms. Instead of creating isolated solutions, we focus on clean interfaces and an architecture that fits into your existing landscape and remains expandable in the long term.

How do we avoid vendor lock-in with IoT platforms?

Vendor lock-in is usually caused by poor architecture, not by the choice of technology. We focus on a clear separation of business logic and infrastructure (e.g., through Clean Architecture), so that you remain flexible – even if technologies or providers change.

What distinguishes IIoT projects from IoT applications?

IIoT rarely happens on a greenfield site. It is often a matter of further developing existing industrial systems, processes, and requirements in such a way that real added value is created without disrupting ongoing operations.

This means higher requirements for reliability, security, and integration, and significantly more complexity in implementation. This is exactly where it is decided whether a project works in the long term or remains just a prototype.

We bring the experience to consider this reality from the very beginning, both technically and organizationally.

What are typical risks in IoT projects – and how can they be avoided?

Common risks include oversized initial projects, unclear goals, and a lack of integration into existing processes. Successful projects start small, deliver value quickly, and are expanded incrementally. Clear prioritization and an iterative approach are crucial.