We create and optimise business

by leveraging the potential of Internet-of-Things.

We help you connect your factory machines into one coherent system, connect your products or services, and upgrade your existing system to utilise the possibilities of cloud and analytics.
We are specialised within Industrial IoT and many of our projects involve global roll-outs of connected devices and cloud integration. We assist throughout the whole project cycle - from business case to operation - and we have implemented some of the largest Industrial IoT-projects in Scandinavia.



We support you in creating business cases and to validate them with proof-of-concepts to ensure that both the business and technology hypothesis are well substantiated.

IoT Cloud

We have significant experience with designing and implementing enterprise cloud architectures for IoT-data collection and integration with business systems.


We are device experts and help develop electronics and embedded software, choose sensors, and balance connectivity and power consumption for your existing or new products.


We help your organisation to implement smart factories, as well as connected products and services, by assisting with IoT-specialised project and program management.

Client tracks

  • Smart Factory

    Even though there is a huge push for Industry 4.0, most factories will still be using existing machinery for many years to come. Usually production lines can be connected through their existing MES, DCS and SCADA systems and through internet enabled PLC solutions. At the same time, they often have few or no sensors measuring their operational health and efficiency. By using a cloud service and IoT sensors we can connect and retrofit production lines to allow for a better operational overview, quicker issue resolution and predictive maintenance.

  • IoT Cloud

    While the connected product is critical, the importance of the cloud solution to ensure a reliable, consistent and accessible service is often overlooked. We help customers establish a consistent overview by connecting factories and products to the cloud. By using the strengths of IoT cloud components on the generic cloud platforms (Microsoft Azure, Amazon Web Services, IBM Cloud and Google Cloud) we deliver cost-efficient, secure and scalable IoT cloud solutions for data collection and analytics, device provisioning, optimisation of workflows and new customer experiences.

  • IoT Transformation

    It is evident that some products are not suitable for digitalisation, but it is also evident that the number of those products is diminishing. It can be an almost overwhelming task for a traditional company to embark on the journey towards digital products and connected services, as it involves activities that in the end will transform many parts of the company. We help you prioritise business cases and identify the best route to connecting your products. We guide your business and product development based on real experiences, realistic technology projections and an iterative approach starting with a Proof-of-Concept.

Activity examples


Let our senior advisors contribute within digital innovation, customer experience and value proposition. We are not only technical experts, we also have some very sharp business and creative minds that can help your organisation discover business potential.
How well adapted is your company for IoT business models and how do your competitors handle IoT? We provide you with an assessment of your business along with recommendations.
Our simple and effective process helps you identify the most fitting business cases for your organisation. In the process we will answer the following questions:
How can your organisation leverage the potential of IoT? How do we conduct a proof-of-concept? What are the total cost of ownership? What business cases should we refine and which should we omit?
Let us test your business hypothesis with our "works-like, looks-like, feels-like" methodology. In the "works-like" phase we test the hypothesis with standard products and get valuable user feedback and workflow knowledge. The "looks-like" phase provides further details with form-factors, business case refinement and proof-of-technology. The "feels-like" phase adresses user experience and technology challenges.
We design maintainable, cost-effective yet scalable IoT-data collection platforms. We have significant experiences helping clients with requirement specification, detailed design and micro-service architecture while preparing the design for several levels of access and future analytics.
Designing and implementing an IoT-Cloud platform differs from a typical "infrastructure lift and shift" cloud project. An IoT-Cloud project involves interfacing to devices / sensors (sometimes through a gateway/edge passing it on via Modbus, Profibus, CAN bus or other industrial protocols) and understanding signals; handling events and storing streaming data accordingly; administration of access to data and multi-tenancy support for enterprises; cost-effective micro-service design and implementation. We have deep understanding of the requirements of the IoT-Cloud and have carefully designed, implemented and specified requirements for some of the most demanding IoT-Cloud platforms in the Nordics.
We help you go from prototypes to real-world products and make sure that it is within the agreed time-to-market, quality and cost. We handle development of electronics and selection of sensors while making sure that the balance between connectivity and power consumption is right. Examples on our device project experiences range from micro and extreme low power electronics, RF-design, FPGA and ASIC design to industrial EMC requirements, ISO 9001 and ISO 13485 validation.
Our senior advisors have many years of experience within management and handling of development of intelligent products. We handle the day-to-day project management as your company's trusted advisor, mitigating the risks and always focusing on a transparent and flexible project management tailored your requirements. We have noticeable project execution experience within highly regulated products, e.g. MDD/IVDD/QSR and FDA.
Security is a critical element of an IoT deployment. We have processes and experts that help you avoid incorrect data exposure and insecure infrastructure of devices and back-end.
New products and services are not always going to remain new. Therefore, we secure that maintenance and support are included in the project planning and organization.



Our business and development framework consist of a slightly extended spiral commitment model, revised specifically for business case and PoC exploration.


Our project model is focused on systems of systems. It is an iterative and risk-minimising approach that suits modern project management methodologies.


Governance, operation, maintenance and product updates are integral parts of our project framework and mindset. In IoT-projects these parameters are key from the get-go.

Positioning technologies currently applied across industries:

Global Navigational Satellite System: Outdoor positioning requires line-of-sight to satellites, e.g. GPS: the tracking device calculates its position from 4 satellites’ timing signals then transmits to receiving network
–    via local data network, e.g. wifi, proprietary Wide Area Network
–    via public/global data network, e.g. 3G/4G

Active RFID: A local wireless positioning infrastructure built on premises indoor or outdoor calculates the position based on Time of Flight from emitted signal & ID from the tracking device to at least 3 receivers or when passing through a portal. The network is operating in frequency areas such as 2.4 GHz WiFi, 868 MHz, 3.7 GHz (UWB – Ultra Wide Band), the former integrating with existing data network, the latter promising an impressive 0.3 m accuracy. Tracking devices are battery powered.

Passive RFID: Proximity tracking devices are passive tags detected and identified by a reader within close range. Example: Price tags with built-in RFID will set off an alarm if leaving the store. Numerous proprietary systems are on the market. NFC (Near Field Communications) signifies a system where the reader performs the identification by almost touching the tag.

Beacons: Bluetooth Low Energy (BLE) signals sent from a fixed position to a mobile device, which then roughly calculates its proximity based on the fading of the signal strength. For robotic vacuum cleaners an infrared light beacon can be used to guide the vehicle towards the charging station.

Dead Reckoning: Measure via incremental counting of driving wheels’ rotation and steering wheel’s angle. Small variations in sizes of wheel or slip of the surface may introduce an accumulated error, hence this method is often combined with other systems for obtaining an exact re-positioning reset.

Scan and draw map: Laser beam reflections are measured and used for calculating the perimeter of a room and objects. Used for instance when positioning fork-lifts in storage facilities.

Visual recognition: The most advanced degree of vision is required in fully autonomous vehicles using Laser/Radar (Lidar) for recognition of all kinds of object and obstructions. A much simpler method can be used for calculating a position indoor tracking printed 2D barcodes placed at regular intervals in a matrix across the ceiling. An upwards facing camera identifies each pattern and the skewed projection of the viewed angle.

Inertia: A relative movement detection likewise classical gyroscopes in aircrafts now miniaturised to be contained on a chip. From a known starting position and velocity this method measures acceleration as well as rotation in all 3 dimensions which describes any change in movement.

Magnetic field: a digital compass (on chip) can identify the orientation provided no other magnetic signals are causing distortion.

Mix and Improve: Multiple of the listed technologies supplement each other, well-proven or novel, each contributing to precision and robustness of the system. Set a fixpoint via portals or a visual reference to reset dead reckoning & relative movement; supplement satellite signal with known fixpoint: “real time kinematics” refines GPS accuracy to mere centimetres; combine Dead Reckoning and visual recognition of 2D barcodes in the ceiling.

LoRaWAN: A low power wide area network with wide reach. An open standard that runs at unlicensed frequencies, where you establish a network with gateways.

Sigfox: A low power wide area network reminiscent of LoRa. Offered in Denmark by IoT Danmark, which operates the nationwide network that integrates seamlessly to other national Sigfox networks in the world.

NFC: Used especially for wireless cash payments.

Zigbee: Used especially for home automation in smart homes, for example. lighting control.

NB-IoT: Telecommunications companies’ IoT standard. A low-frequency version of the LTE network.

2-3-4G Network: Millions of devices are connected to a small SIM card, which runs primarily over 2G, but also 3G and 4G.

Wifi: The most established standard, especially used for short-range networks, for example. in production facilities.

CATM1: A low power wide area network, especially used in the United States.