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IoT Fabrikken

IoT Fabrikken was founded in 2018 by Mikkel Fischer and Jon Wichmann. However, the foundation of the company was laid long before that. The founding partners brought with them a strong track record, having previously built two highly successful tech enterprises: DIBS, a pioneer in secure online payments, which is today owned by Nets, and eSmiley, the leading provider of digital food safety solutions for professional kitchens, canteens, and hospitals across the Nordic region. Together, they share more than 25 years of in-depth expertise in developing software designed to make daily operations simpler. This experience forms the very core of IoT Fabrikken. As our name suggests, we harness the power of the Internet of Things (IoT) to remove complexity. We believe that securing vital data should be as simple as mounting a sensor that automatically finds the network and starts delivering insights. Our guiding principle is that technology must always support your daily work – it should be precise, entirely dependable, and accessible to everyone, regardless of their level of IT proficiency. Today, IoT Fabrikken operates from two offices in Denmark, located in Roskilde in the east and Hørning in the west. We also collaborate closely with dedicated partners across several countries, with Germany and Sweden standing out as two of our most significant growth markets. What started as a vision between two men has grown into a highly successful enterprise that makes a tangible difference every day. Currently, we deliver our solutions to 70 Danish municipalities, alongside a wealth of private businesses, housing associations, museums, churches, and industry advisors. We are incredibly proud that thousands of customers now rely on our system daily to support and elevate their work within facility management, space management, and cultural preservation.

Yesper

Yesper is the AI civil engineer for construction and infrastructure. Construction and infrastructure teams lose enormous time to manual, document-heavy work — reading tenders, taking off quantities, checking deliverables against the rules. Yesper's AI agents read a project's documents, drawings and models, reason against the Swedish standards, regulations and contracts a project runs on (AMA, AB 04, PBL, Miljöbalken and more), and deliver whole pieces of engineering work: tender review, quantity takeoff from BIM/IFC and drawings, and compliance checks — each with page-level source citations. It integrates live Swedish authority data (Trafikverket, SGU, SMHI, Lantmäteriet), computes in code so the numbers hold, and stores data in the EU.

Virexa Technologies

Virexa Technologies is a modern SaaS and software company building AI-powered business platforms, web applications, mobile solutions, marketplaces, and scalable digital products for businesses worldwide. We combine product strategy, UI/UX design, software engineering, AI automation, quality assurance, and long-term technical support to turn ideas into reliable, user-friendly products. Our focus is on solving real business challenges through practical technology, clear collaboration, secure architecture, and scalable product development. From early-stage concepts and MVPs to production-ready SaaS platforms, we support the complete journey from idea to launch and continuous improvement. Our capabilities include: * SaaS product development * Custom software development * Web and mobile applications * UI/UX and product design * AI solutions and workflow automation * Marketplace and business platforms * Quality assurance and testing * Product maintenance and support Building smarter SaaS products, AI solutions, and scalable digital experiences for businesses worldwide.

BlueShadow

BlueShadow is a dual-use technology startup offering maritime security as a service. With a passionate team on a mission to protect society by safeguarding critical offshore and coastline infrastructure and resources. Using deep intelligence powered by advanced fusion data and sensors, and using machine and intelligence experience to predict potential threats, and deploying an array of autonomous drone solutions to prevent harm before they materialize. Our team does both software and hardware system integration, using our core technologies and the best available hardware solutions from partners across Europe to solve the mission.

fbstats

ABOUT FBSTATS & THE PROBLEM WE SOLVE fbstats is a Swedish sport-tech startup aiming to revolutionize how floorball is analyzed, understood, and developed. Floorball is a massive sport, but when it comes to automated match statistics and deep video analysis, it is lagging far behind. Existing solutions on the market are either built for completely different sports or require expensive, fixed arena camera installations that are financially out of reach for the majority of clubs. This leaves coaches and managers at most levels with two bad options: guessing, or spending countless hours on manual, analog tagging of video files after games. It’s inefficient, expensive, and not scalable. We are changing that. WHERE ARE WE TODAY? We are in an extremely exciting early startup phase where the market need is clearly validated. Through our founders roots in the floorball community, we have unique insights into the actual everyday problems and needs of coaches. We are moving fast. We already have a strong, concrete interest from pilot teams who are ready to test the platform. We are currently incorporating the company (Aktiebolag) and have secured the initial funding. Most importantly: our AI engine is already proving itself, accurately tracking players and equipment in early test footage.

RiskFinder

RiskFinder helps the companies that keep heat, water and power running stay ready when something goes wrong. Our customers are utilities and critical infrastructure operators. Every year they face more cyber threats, extreme weather, supply chain failures and new rules. Most of them already have emergency plans and risk assessments. But the information sits in long documents, spreadsheets and people's heads. That is exactly where it is useless in a real crisis. We turn it into something teams can use under pressure: clear action cards, live risk tracking, exercise planning, supplier and asset overviews, and the proof that they are ready. This is not a tool for auditors. It is for the person on shift when a plant goes down at 3am, who has to make the call and keep the city warm. Those are the high-stakes moments we build for. When it counts, the work has to hold. We are early. RiskFinder is a small operation working with serious customers on hard problems. There is no narrow lane to stay in. You will see how the whole thing fits together, from talking to the people who run a plant to shipping the feature that helps them. If you want your work to land on something real, with people who genuinely need it, this is a good place to spend your time.

BLS HAFNIA

BLS HAFNIA is a Copenhagen-based clothing brand established in 2011. The brand started as a minimalistic contemporary label with a focus on headwear. Since then, BLS HAFNIA has evolved into a complete clothing brand rooted in Scandinavian minimalism, utilitarianism, and Italian sportswear influences. Our goal has always been to create products with exceptional fit, comfort, and timeless appeal. Today, the BLS HAFNIA collection includes a full range of apparel, developed through seasonal collections, capsules, and collaborations with both Scandinavian and international brands. Our garments have been worn by influential figures across fashion, music, and sports, helping establish BLS HAFNIA as a recognized name within contemporary streetwear culture.

Nordic Waves Group

Nordic Waves Group is a Danish climate-tech and education startup building digital tools and learning experiences that help people better understand climate change, sustainability, and their own impact on the world around them. We believe one of the biggest barriers to climate action is not a lack of information, but a lack of understanding. Climate science is often complex, fragmented, and difficult to translate into everyday decisions. At the same time, traditional learning formats struggle to engage younger generations in meaningful ways. Our mission is to make climate literacy accessible, engaging, and actionable. We are currently focused on two core product areas: Greenhouse Calculator (GHC) – an AI-powered carbon footprint platform that helps users understand their emissions through intuitive calculations, personalized insights, and practical recommendations. The platform is designed to make climate impact understandable in minutes rather than hours. Educational Gaming Universe – a science-based learning platform that combines educational games, interactive experiences, and immersive technologies to teach climate and sustainability concepts. Rather than building games for entertainment alone, we are creating learning experiences with clear educational objectives, developed in collaboration with educators, game designers, developers, and climate scientists. What makes Nordic Waves unique is our interdisciplinary approach. Our team brings together professionals and volunteers from technology, climate science, education, game development, design, communications, and business development. We work closely with a Climate Scientist Board and a growing Teacher Community to ensure that our products are both scientifically credible and educationally relevant. Today, Nordic Waves is an international team of passionate contributors working across Europe and beyond. Together, we are building the tools, experiences, and learning ecosystems needed to strengthen climate literacy and empower informed decision-making in a rapidly changing world. Our long-term vision is to become a leading platform for climate learning, combining digital tools, educational content, and game-based experiences into one connected ecosystem that helps individuals, schools, organizations, and communities better understand and navigate sustainability challenges.

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.

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.

FrontFlow

FrontFlow develops AI-powered solutions for operational processes in manufacturing, wholesale, and distribution. The result is lower costs, more time freed up, and increased productivity. We are a product company with an international focus, and we are now building the next phase of our growth. We are looking for a Growth Marketing Manager who wants to truly combine marketing and AI.

Spucce Venture

Spucce Venture is a venture studio. We build the intelligence operating system for creation. We work where human development meets technology. We design the infrastructure. Creators build everything else on top. We match and train founders. We train them from the inside out. A shared intelligence layer carries memory across every build. It gives each company clarity and long-term direction. The goal is to become the universal system for building ventures. Where things stand now: Round 1 funding is underway. The first investor is confirmed. The team is forming. The demo build is in progress. Business architecture and processes are taking shape. This is an adventure. I cannot promise outcomes. I can promise one thing. It will change your life by unlocking the potential already inside you.

Velocity Insights

Velocity Insights is building a new class of analytical production systems that generate decision intelligence from a fully traceable evidence base. Most commonly used GenAI approaches generate narratives first and attempt to justify them during the text generation process — often resulting in outputs that are incomplete, difficult to verify, and not fully traceable to underlying evidence. Velocity Insights takes a different approach, structuring the evidence first and deriving every insight from it. This enables organizations to produce analytical outputs that are fully traceable, inspectable, and auditable — transforming how conclusions are validated in high-stakes decision environments. Designed for capital allocation and strategic decision-making, Velocity Insights enables enterprises across finance, life sciences, and technology to generate high-speed decision intelligence without sacrificing traceability or control. By combining data structuring, workflow design, and AI, the system establishes a new standard: analytical outputs that are fully verifiable, transparent, and trusted.

Konvolo

Konvolo (Unisurveys), is an AI-powered platform that helps universities understand why students apply, choose programs, or drop out. Instead of traditional surveys, we use conversational AI to conduct dynamic interviews that adapt to each respondent’s answers. The platform turns qualitative student conversations into structured insights by automatically analyzing, grouping, and summarizing responses at scale. This allows universities to move beyond surface-level metrics and gain a deeper understanding of student motivations, expectations, and decision-making. Konvolo is used to improve student recruitment, program development, and retention by capturing the “why” behind student behavior — in a scalable, data-driven way.

Arcana Bio

Arcana is building new AI-powered technologies that enable long-term human health monitoring through label-free protein detection and proprietary photonics technology, designed to support health monitoring at home. By combining photonics and artificial intelligence, Arcana reads biological signals directly—without labels or reagents—making it possible to generate continuous insight into health over time. Instead of relying on infrequent lab tests or reacting to late-stage symptoms, Arcana focuses on capturing early biological signals that reflect how the body responds to everyday physiological processes such as stress, recovery, and aging. Our mission is to support long-term health and longevity by shifting healthcare from reactive treatment to proactive insight. We believe health should be understood as a trajectory rather than a snapshot, and that high-quality biological data is the foundation for better decisions, more timely interventions, and healthier lives. Arcana is a deep-tech company operating at the intersection of photonics, biology, and artificial intelligence. We work on challenging problems that demand scientific rigor, long-term thinking, and close collaboration across disciplines. Our work spans hardware development, software engineering, data science, and applied biology, with a shared focus on translating complex biological signals into meaningful, real-world impact. If you are motivated by first-principles thinking, enjoy working across boundaries, and want to help shape the future of health and longevity, we invite you to apply.