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CodeIT

Turn labelling and traceability into a strategic asset with lower costs and greater independence CodeIT helps leading companies in many different fields turn labelling and traceability into a strategic asset with lower costs and greater independence. At CodeIT our goal is to make industrial automatic identification, labeling and traceability intelligent. we provide our customers with expert advice and analysis, software, hardware, installation and support. We have over 20 years’ experience with critical business applications in many types of industries and are known for having a high level of product, system, application, technology and engineering expertise and the capacity needed to help achieve a rapid and successful implementation. CodeIT Enterprise™ is an open and flexible software solution that can be easily adapted to meet many different kinds of enterprise needs. Integrates into your current Auto ID labelling and coding system and talks with all surrounding intelligence in realtime, with zero faults. CodeIT optimize the operation with high quality and unique flexibility. CodeIT Enterprise™ puts you in control with an easy to use, reliable platform designed for growth with clear technical, economic and operational benefits. See the CodeIT Enterprise™ introductory video: https://youtu.be/S3IvpxeEKgE CodeIT eMRB™ is an industry solution for MRB compilation. The solution indexes all relevant production order information quickly in a secure and manageable way. It is the perfect tool for companies in the oil and gas sector, such as engineering and service companies, vendors, sub-contractors and the like. CodeIT eMRB™ makes Manufacturing Record Book compilation and delivery easier and faster, MRP processing has never been simpler! See the CodeIT eMRB™ introductory video: MRB™ introductory video: www.eMRB.no

Cognite

Cognite has a unique starting point and great of momentum on its side. The idea behind Cognite came when I was working on a digitalization project with the industrial conglomerate AKER ASA.  In less than 15 years there will be over 50 billion physical assets and machines connected to the Internet, and over seven billion Internet consumers. The exponential growth of data resulting from the increase in Internet users, combined with machine learning (ML) and artificial intelligence (AI) will challenge the status quo of across all industries. We believe that data handling will become a competitive advantage for industrial companies across a range of sectors. Unlocking its tremendous capabilities should not just be for an elite group of companies. Cognite makes this technology available to our customers. Furthermore we think that the most successful companies will create alliances to leverage the numerous and complex data sources. We aim to deliver breakthrough customer benefits facilitating productivity-related savings, improved operations, increased safety, and new revenue opportunities. Our initial focus is to aggregate and process data from industrial sensors and corresponding applications combining it with 3D-models to see how these sensors are related to the physical world. This enables our customers and partners to create advanced visualizations and machine learning applications for optimization and automation. Please contact us if you're interested in learning more.

ZTORAGE

Ztorage är ett bättre sätt att magasinera där du bara betalar för ytan du använder och alltid slipper hämta eller lämna dina saker. Vi hämtar, magasinerar och lämnar efter dina behov. På Ztorage samlas vi kring en gemensam vision; att frigöra tid och plats åt människor. Sedan starten 2014 har vi jobbat för att erbjuda magasinering som förenklar prylpusslet och som anpassas efter våra kunders liv. Vi har kommit en lång bit på vägen men jobbar ständigt med att förnya oss för att kunna erbjuda en service som våra kunder faktiskt längtar efter att använda. Idag är Ztorage ett av de snabbast växande företagen inom vår bransch.

Kezzler

Working with global brands and leading partners, Kezzler can make millions, billions, even trillions of product connections a remarkable, everyday reality. Industries from pharmaceuticals to food, FMCGs to governments, have transformed their activities with Kezzler's long experience in mass serialization.

Disruptive Technologies

In 2013 we formed the building blocks of Disruptive Technologies with a group of industry experts with decades of experience in low-power, high-end semiconductors. Industry leaders in cloud computing, production and sales have since joined our team to create a true powerhouse of industry knowledge. Together we have created a complete sensing solution that is unmatched in size, capability and price. It is easy to use and fully scalable, making it a great fit for operations of any size. With Disruptive Technologies, the world can truly realize the potential of the Internet of Things.

Outso

Our supply chain aims to revamp the way we consume fashion today. We are a complete supply chain that believes in products, that are made with respect for all living beings. Our products will be sold both online and offline in a totally transparent way. We aim to have total control of our supply chain, starting from fiber all the way to customer experience. There are no secrets regarding production or the way we do business.

Dogbuddy

DogBuddy is Europe's leading and largest online community of dog lovers. We help to connect dog owners with local and reliable dog sitters, providing a comfortable and caring home from home for your pooch while you're away. DogBuddy has now grown to be Europe’s leading online dog sitting and home dog boarding community, offering one of the first “airbnb style services” for dogs in the UK, Spain, Italy, France, Germany, Sweden and Norway.

Askeladden & Co

As a idea factory, incubator and investor, Askeladden & Co identifies opportunities, develop concepts and scale up companies. Our sweet-spot is in traditional industries that - until now - have seen limited consolidation, limited innovation, too high prices and a customer journey that has been standing still since the 90s.   Our investments and startup journeys so far:  Cutters | Adams Matkasse | Freska | Lotel | Lorry Restaurant | Wellbee

Robot Aviation

Robot Aviation develops and produces UASs (Unmanned Aircraft Systems) for industrial applications. One of our ambitions is to become a global preferred provider of connected solutions for various industries. The company is in a growth stage and has international customers representing different sectors. Much experience and knowledge is required to develop systems for professional use in a rapidly changing world, markets and technology.   We are people who have a passion for technology and flying. We do love progress, designing and putting together a good product that is successful. We are down to earth people with sky high ambitions.

Touchize

Touchize is a start-up originating in Malmö / Öresund region. We are developing a completely unique product that takes e-commerce on mobile devices to a whole new level. What we do are very disruptive an will change the way people shop with their mobiles and tablets. Our first product Touchize Commerce is an add-on to existing e-commerce platforms. - The consumer gets an easier and faster way to shop on mobiles.  - The merchant gets higher mobile conversion, more in each basket.

Farm Legacy

Farm Legacy is a startup building the first AI-powered platform for farm succession, helping retiring farmers find the next generation to take over their land. Across Europe alone, 6.3M+ farms need a successor in the next decade. Globally, there are 608M+ farms, most of them family-run, and farming populations are aging in nearly every market. When no one steps in to take over, working farms get sold off, abandoned, or absorbed into industrial operations. Our goal is to keep family-scale farms alive by making succession simple: matching the right people, handling the legal and financial process, and supporting the new farmer with the tools they need to run the farm for years afterwards. At Farm Legacy, we believe the future of agriculture depends on the people who farm the land, and we are building the platform that makes the handover possible.

Sekorti

Sekorti is AI-native trust center platform for modern SaaS companies. Create a customer-ready Trust Center in minutes and automate security questionnaires like SIG, CAIQ, and VSAQ with AI. Prove SOC 2, ISO 27001, GDPR, ISO 42001, and EU AI Act readiness without spreadsheet chaos. The target audience for Sekorti are B2B SaaS founders stuck in Enterprise deals.

Greenbow A/S

Greenbow gør opladning af elbiler enkel og fleksibel med intelligente ladeløsninger til både hjemmet og vejen. Virksomheden tilbyder moderne ladestandere, smart charging og brugervenlige apps, der hjælper kunder med at lade billigere og smartere. Med fokus på teknologi, service og grøn omstilling ønsker Greenbow at gøre hverdagen nemmere for elbilsejere.

ProTag AS

ProTag is building a Digital Product Passport platform that helps manufacturers and product owners manage and share product data across their supply chains. We solve the growing challenge of fragmented, unstructured information by combining a network-driven SaaS platform with AI that turns messy supplier data into structured, usable product intelligence. Across industries, a new reality is emerging: products are no longer just physical objects, they are data assets. To sell, operate, and scale, companies need reliable information about what goes into their products, where it comes from, and how it evolves over time. The problem is that this data does not exist in one place. It is scattered across suppliers, stored in PDFs, buried in emails, or locked inside disconnected systems. Most companies today are trying to manage this with spreadsheets and manual processes. That might work internally, but it breaks down completely across a supply chain. This creates a structural problem: • Companies depend on data they do not own • Suppliers struggle to provide consistent information • Teams spend significant time chasing, cleaning, and validating data At the same time, external pressure is increasing. Customers, partners, and regulators are all asking for more transparency. What used to be “nice to have” is quickly becoming required to do business. The result is a growing gap between what companies need to know about their products and what they can actually access and trust. ProTag gives companies a way to build a live, structured view of their products across the entire supply chain. Instead of trying to centralize everything manually, we connect the different actors and let data flow where it is created. Companies use ProTag to: • Organize product data in a consistent structure • Request and receive information directly from suppliers • Keep everything updated as products evolve • Share product data with customers and partners when needed AI plays a critical role in making this scalable. We use AI to: • Turn unstructured documents into structured product data • Identify gaps, inconsistencies, and risks in real time • Reduce the effort required to onboard suppliers and maintain data quality What makes ProTag different is how it scales. We are not just building a tool for a single company. We are building a network. When one manufacturer joins ProTag, their suppliers are invited in. When those suppliers join, they can reuse their data across multiple customers. Over time, this creates a shared data layer where: • Information becomes easier to access • Data quality improves naturally • Switching costs increase for everyone involved We do not replace existing systems. We sit on top of them and connect them. This makes adoption fast and reduces friction from day one. We started ProTag because we experienced this problem firsthand. Working in industries with complex products, we saw how much time was spent chasing information that should have been readily available. Engineers, quality teams, and commercial teams were all dealing with the same issue from different angles, but there was no real solution. At the same time, the direction of the market became clear. Transparency around products is increasing, not decreasing. The amount of data required is growing fast. Most companies are not prepared for this shift. We realized this is not just a workflow problem, it is an infrastructure problem. The way product data is managed today does not match how supply chains actually work. That is why we are building ProTag. Our ambition is simple: to become the default way companies manage and share product data across supply chains. Once that layer exists, it unlocks everything else.

DiFacto ApS

DiFacto is an AI-powered SaaS startup based in Aarhus at Incuba, automating invoice auditing for companies with complex supplier and rebate agreements — starting with the Danish construction industry. The problem: Construction companies operate under intricate price agreements with major suppliers like STARK, XL-Byg, and others. These agreements contain volume discounts, seasonal rebates, and project-based pricing. In practice, invoices frequently deviate from the agreed terms — but checking them manually is time-consuming, expensive, and requires specialist knowledge that most SMEs simply don't have. Our own pilot data shows that around 10% of all invoices contain errors or rebate breaches, putting 1–1.5% of total procurement volume at risk. Why we built it: We spent 14 months manually analysing hundreds of real price agreements and invoice structures from Denmark's largest building suppliers. That deep understanding became the foundation for a platform that does in 30 seconds what a trained analyst would take hours to do. Our core engine reads invoices via OCR, converts them to structured data, and cross-references them algorithmically against the client's price agreements — flagging every discrepancy automatically. Why now: We have a working MVP, real pilot customers, and a clear path to a commercially scalable product. We're a small team of three co-founders building something technically complex in a space with almost no direct competition. This means an intern won't just watch from the sidelines — you'll work directly on live problems, contribute to a microservice-based backend architecture, and learn how to build AI-driven data pipelines in a real startup environment at Incuba, Aarhus.