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.

Pokoin lets anyone sell second-hand collectible cards (Pokémon and more) in seconds. Scan it. Sell it. Ship it. An AI card scanner recognizes and prices a card in under a second, so a collection of hundreds of cards can be listed in minutes instead of days. The Card Vault stores cards in insured storage so they can be sold without shipping each time. Pokoin Flex turns card shops into InPost-style pickup points for faster, cheaper shipping. Based in Aarhus, piloting in Denmark and Salerno, Italy.

Oscar Yankee bridges aviation and technology to make flying smarter and more efficient. We deliver modern digital tools like our Training and Flight School Management platform, OY Wings, designed to streamline scheduling, ensure compliance, and simplify student management for flight schools and training organisations.

JobCrawls is a free job search for Finland. It collects about 20,000 open jobs from employers' own career pages and the public Työmarkkinatori into one search, with salary ranges, employer ratings and alerts, in English, Finnish and Swedish. Instead of relying on paid job ads, JobCrawls automatically indexes thousands of employers' career pages. It is free for job seekers, and employers get a free careers page. JobCrawls is a job search engine, not a recruitment agency: it does not place candidates or charge employers per hire.

Building Matrix — a platform combining physical activity, social competition and community. Currently working on the first version of the product, school activations, events and the team around the project. My goal is to make physical activity more engaging by turning it into something people want to participate in, compete in and share with others.

We're on a mission to help financial professionals (actually) use AI. We have built a Virtual Controller that helps bookeepers, accountants and controllers with ensuring they produce a high quality output for their end customers. We are a VC backed startup and more importantly have (paying!) customers. We are on a crazy ride and looking for people that want to be a part of building at the forefront of AI with us. Reach out to hear more :)

The PeopleFirst Standard™ Psychological Safety. Measured. Proven. The Problem Psychological safety is now a legal obligation in 30+ countries. ISO 45003, Danish BEK 1406, the EU Framework Directive, UK HSE Management Standards, Canadian CSA Z1003, and Safe Work Australia all require organisations to assess and evidence psychosocial risk at work. None of them prescribe how. So organisations reach for what they have: engagement surveys. Likert scales that ask people how they feel. Global engagement sits at 21% despite billions spent annually on these tools. Regulators, boards, and insurers increasingly know the difference between an opinion score and a defensible evidence base. The organisations that can't tell the difference are accumulating liability. The measurement approach is broken. We're fixing it. The Solution The PeopleFirst Standard™ is the first independently certifiable standard for psychological health and safety at work. Not a survey. Not a wellness tool. A standard, built on the same logic as ISO 9001 for quality or B Corp for social responsibility. The platform delivers a 25-question scenario-based behavioural diagnostic across 5 dimensions, measuring what people actually do under pressure, not what they say when asked nicely. Results are mapped clause-by-clause to ISO 45003:2021, BEK nr. 1406/2020, EU Directive 89/391/EEC, CSA Z1003-13, HSE Management Standards, and Safe Work Australia Code of Practice simultaneously. Organisations achieving Level 3 or above on our 5-level maturity model earn the independently certifiable PeopleFirst Standard™ mark. Those below receive a full diagnostic report with prioritised, evidence-based recommendations. For Danish organisations, the assessment serves as a validated psychosocial supplement to the mandatory APV process, providing the evidence base that Arbejdstilsynet's own framework requires but does not supply. GDPR compliant by design: no PII collected, sessions destroyed on submission, 20-respondent anonymity floor. Advisory services delivered by a separate team, after the report is issued help organisations act on what they find. Why It Matters 136 independent studies confirm psychological safety predicts team learning, innovation, and performance. (Frazier et al., Personnel Psychology, 2017). Work-related stress costs Danish employers €1.17 billion annually. The conditions that produce these outcomes are measurable and improvable. Where We Are The platform is live at thepeoplefirststandard.com. Active pilot conversations are underway with major Danish employers. The team brings two decades of leadership across military, Ørsted, Novo Nordisk, and startups backed by advisors spanning occupational psychology, enterprise sales, and organisational safety. We are applying for Innofounder funding and building the team that takes this global.

Lithium Optima ApS specialises in the development and production of advanced Battery Management System (BMS) products. These solutions are ISO 13849 PL C compliant, cybersecure, cost-effective, and incorporate sophisticated algorithms for state-of-charge (SoX) estimation and cell balancing. Advanced SOC, SOH, SOP and efficient balancing, Algorithms based on AI and Fuzzy logic are the DNA of our company. Our solution offer accurate and precise estimations that improve range (capacity utilization) and Battery life.

We help companies detect stress, overload, and declining capacity before it turns into sick leave, disengagement, or employee turnover. Using passive biomarker data combined with cognitive validation, our platform gives companies early insights into workforce wellbeing - enabling proactive support instead of reactive damage control. Built for modern SMEs and scaleups, we turn invisible warning signs into actionable insights that protect both people and performance.

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.

Blazar Capital is a Copenhagen-based venture studio that builds and invests in digitally-native consumer brands. Founded in 2017, Blazar provides its 20+ portfolio companies — including Nordgreen, Moonboon, and Scandinavian Biolabs — with shared infrastructure across tech, paid media, and operations to help founders scale fast.

Imagine a world where the 'Size Chart', a relic of the 20th century, no longer exists. At UTRY, we are building a universal ecosystem for personalized digital fashion. Born at Aalborg University, our mission is to ensure the digital store adapts to the individual’s unique body, rather than forcing people to fit into static categories. We aren't just building a tool for brands; we are building an interactive, personalized experience for every shopper, where getting the perfect fit becomes the new global standard. We are tackling a massive, dual-sided problem. For the consumer, online shopping is a guessing game that leads to frustration and "fit-anxiety." For brands, this uncertainty results in 8,7 billion returned packages every year, where 53% of returns are due to poor fit. This cycle produces 24 million tons of CO2 annually, because costumers has to guess which size fits them. We saw this gap and realized that the industry doesn't need more complex 3D software; it needs a frictionless bridge between the buyer and the product. Our solution is built on smart synergy. Currently, we have launched our Virtual Try-On (VTO), which leverages generative AI to give shoppers a photorealistic view of garments on their own bodies. This provides the immediate visual confidence shoppers crave. Following closely behind is our Size Algorithm, designed to provide technical fit data to ensure the physical fit matches the visual one. By combining these into a single "UTRY ID," we are creating a cross-brand network where a user sets up their profile once and shops at every brand using UTRY with confidence. UTRY started because we did not fit into the standard size chart and had to order several sizes to find the correct size ourselves. As students at Aalborg University, we didn't just want to study the problem; we teamed up with a dedicated full-time crew to solve it. We are doing this because we believe that when you give consumers a personalized, engaging experience, the business value, higher conversions and lower returns, follows naturally. We are here to prove that what is best for the person is also what is best for the planet and the companies.

Atlas Well is on a mission to transform addiction care, with technology as leverage. We're committed to crafting digital tools and therapeutics that equip caregivers, clients and their loved ones with the resources they need to conquer addiction and thrive. First in line is our software-powered breathalyser for remote alcohol monitoring — designed to provide security, motivation, and the strength to resist drinking. Join us in building a future of sober habits.

Clubmate is a sales and fundraising platform built for sports clubs. Clubs rely on volunteers, spreadsheets, and scattered tools to run lotteries, sell tickets, collect payments, and manage supporters which creating unnecessary admin and lost revenue. We solve this by bringing digital lotteries, ticketing, fundraising, CRM, discount booklets, and kiosk/merch sales into one simple platform. The result: clubs sell more, spend less time on administration, and get clearer control of cash flow.

Kihleo is a medtech startup developing an early warning system for urinary tract infections in older people with incontinence receiving care at home or in nursing homes. UTIs are one of the most common reasons for acute deterioration, confusion, and hospitalisation in this group. They are challenging to detect early, because symptoms are often vague, many older people cannot clearly communicate discomfort, and home care staff and nurses have minimal time. Today, detection is primarily reactive. Staff notice that something is wrong, then order urine tests and start treatment when the infection is already well underway. This leads to unnecessary suffering, avoidable admissions, and a high use of antibiotics. Kihleo’s solution is a small sensor placed in the diaper that measures biomarkers in the urine every time the person voids. When the diaper is changed, the sensor is read, and data is sent to a secure backend. Algorithms and predictive models analyse patterns over time and provide early, trustworthy indications that an infection may be developing, days before clinical symptoms are usually recognised. The system is not a diagnostic tool. It is a decision-support and early-warning system that integrates into existing workflows and helps staff decide when to look more closely, consult a nurse or doctor, and perform standard diagnostic tests. The value is threefold. For older people, it means faster and more targeted treatment, fewer severe infections, less confusion, and a better day-to-day quality of life. For relatives and care staff, it provides reassurance, objective data, and more time for actual care rather than crisis management. For the public sector, it helps prevent avoidable hospitalisations and complications that are both expensive and resource-intensive. Kihleo is working with a hardware partner on sensor development and is already in dialogue with Danish municipalities about pilot projects. The long-term vision is to create a scalable, data-driven platform for early detection of infections and other complications in elderly care, using everyday materials like diapers as non-invasive data sources.