Risustudy er et AI-baseret softwaresystem udviklet til den danske folkeskole. Platformen er bygget op omkring tre centrale brugergrupper: elever, lærere og forældre. Vores mission er at løse nogle af de største udfordringer i folkeskolen – blandt andet mangel på tid, differentieret undervisning og manglende støtte til elever med forskellige behov. I dag oplever mange danske folkeskoler de samme problemer: lærere har for lidt tid til den enkelte elev, undervisningen bliver ofte for “one size fits all”, og mange elever føler sig overset eller tabt i systemet. Det er netop de udfordringer, vi vil være med til at løse gennem teknologi og AI. Idéen bag Risustudy kommer også fra personlige erfaringer. Jeg har selv haft en svær tid i folkeskolen, hvor jeg ikke passede ind i den traditionelle måde at lære på. Jeg er ordblind og har ADHD, og mine udfordringer blev ofte håndteret ved, at jeg blev sat til side i stedet for at få den støtte og forståelse, jeg havde brug for. Det gjorde, at jeg mistede motivation og ikke fik det fulde udbytte af undervisningen. Med Risustudy ønsker vi at skabe et værktøj, der hjælper elever med at lære på deres egne præmisser, giver lærere bedre muligheder for at differentiere undervisningen, og samtidig inddrager forældrene mere aktivt i elevens udvikling. Målet er at skabe en folkeskole, hvor flere elever føler sig set, forstået og støttet i deres læring.

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.

Brandog is developing an AI-powered counterfeit detection and enforcement platform to help brand owners solve the problem of online counterfeiting with autonomous scanning agents that find, verify, and take down fakes across 500+ marketplaces — in minutes, not months. Online counterfeiting is a $2 trillion problem. Every brand with a digital presence — from luxury fashion to consumer electronics — faces an endless stream of counterfeit listings across Amazon, AliExpress, eBay, Shopify stores, social media, and thousands of independent websites. Today, brand protection is manual, slow, and expensive. Companies either hire law firms charging $300/hour to file takedowns one by one, or they pay enterprise platforms $50K+/year that still require human analysts to review every detection. Small and mid-size brands simply can't afford protection, and even large brands can't keep up with the volume. The counterfeits multiply faster than humans can find them. Brandog deploys autonomous AI agents that work around the clock. The Scan Agent crawls billions of pages and uses reverse image search across 500+ marketplaces to find listings that match a brand's protected assets. The Vision Agent then uses AI image comparison to score each match with precise visual similarity percentages — not rough guesses. Listings that cross the threshold are automatically escalated. The Enforcement Agent generates and submits takedown requests to platforms. The entire pipeline runs without human intervention. Brand owners upload their product images, set their scan frequency, and the system handles everything — from detection to takedown verification. A dashboard shows real-time results, match scores, seller intelligence, and revenue-at-risk estimates so brands can prioritize what matters most. We watched a friend's small consumer brand get destroyed by counterfeit sellers on Amazon. They spent months manually searching for fakes, filing DMCA complaints, and watching the same sellers pop back up under new names. They couldn't afford the enterprise brand protection tools, and the cheap alternatives were just glorified Google Alerts. We realized that the technology to solve this — computer vision, large language models, automated web crawling — already existed, but nobody had assembled it into something affordable, autonomous, and accessible to brands of any size. That gap between what's technologically possible and what's actually available to brand owners is what drives us. Every day a counterfeit stays live, a brand loses revenue, reputation, and customer trust. We're building the tool we wish existed.

alma er byens nye madmarked med fokus på økologi, kvalitet og ordentlige råvarer. Indtil videre findes vores butikker i København og på Frederiksberg, men vi har flere på vej. alma er opkaldt efter grundlægger Alfred Josefsens bedstemor fra Thy, der værnede om lokale råvarer af god kvalitet. Den tanke har vi videreført, så den afspejles i vores butikker og varesortiment, der er sammensat ud fra principper som autenticitet, økologi, det lokale og sæson. Vi kalder alma et madmarked, fordi vi er er sted, der primært handler med madvarer og drikkevarer. Derfor vil vi ikke have et stort udvalg af alle mulig andre varer, der ikke kan spises eller drikkes. Med alma giver vi danskerne nemmere adgang til økologi. Vi samler de bedste, sundeste, grønneste kvalitetsvarer på tværs af alle kategorier, så vores kunder får nemmere ved at træffe et bevidst valg, der er til glæde for både dem selv og planeten. Vi skaber en bedre indkøbsoplevelse og har fokus på den behagelige butiksindretning og det nærværende møde mellem vores medarbejdere og vores kunder. På denne måde håber vi at blive det foretrukne indkøbssted for ansvarsbevidste kunder, som nyder god mad, men samtidig går op i at passe på planeten.

MOOW is an innovation house with a mission to decarbonize the built environment through fully sustainable and design-oriented building materials made from locally sourced willow. MOOW’s holistic understanding of sustainability includes natural carbon capture, biodiversity, circularity, and human health. Our long-term ambition is to redefine how buildings are constructed and experienced.

Vexter hjelper B2B-selgere å jobbe smartere ved å kombinere presis prospektdata med et intelligent AI-verktøy for e-post outreach. Vi gjør det enkelt å finne riktige leads, bygge målrettede kampanjer og skape flere møter på kortere tid. Med Vexter bruker du mindre tid på manuelle prosesser og mer tid på å selge. Plattformen omsetter data til innsikt som øker konverteringsraten, øker effektiviteten og skalerer veksten.

Hive Brazilian Jiu Jitsu is a premium BJJ gym in Copenhagen built on two things: world-class instruction and a community that takes the sport seriously without taking itself too seriously. We train kids, adults, and a fast-growing group of women who are finding their footing — and confidence — on the mat. Our members come from all over the world, which means Hive is as international as the city it sits in. We've grown through reputation and word-of-mouth, and we're now building the brand infrastructure to match the quality of what happens inside the gym. If you're looking to work on something with a real identity, a real community, and real room to make your mark — this is it.

P-Secure is a pioneering Danish SaaS company that develops Europe's only platform for automated and EU-compliant background checks for employees, applicants, consultants and suppliers. Our solution streamlines critical security processes, supports compliance with GDPR, NIS2 and CER directives and contributes to a higher security culture in both private companies and public institutions. We have ambitious growth plans in Scandinavia and Europe and are now looking for people to join our team.

Compli is a compliance operating system that transforms laws and regulatory requirements into structured, operational workflows inside a company. Instead of delivering static reports or raw risk data, Compli identifies gaps between regulations and a company’s existing procedures, and turns them into concrete actions, documented decisions, and continuous follow-up. It integrates regulatory updates, supplier risk, internal routines, and ESG reporting into one unified execution engine. Our vision is to build the infrastructure layer for regulatory intelligence in Europe — where compliance is no longer manual, reactive work, but an automated system that strengthens businesses every day.

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 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.

We are an early-stage company developing retail software for the global watch and jewellery industry. Our customers work with high-value objects, but often rely on generic systems not designed for their industry. We develop a specialized platform for operations and documentation that improves efficiency and transparency without compromising quality.

KAKTI is on a mission to accelerate the transition toward affordable and intelligent energy systems. Our AI-powered energy management platform optimizes the operations of district heating plants, making energy production more efficient, responsive, and climate-friendly. We work with forward-thinking utilities and plant operators to orchestrate complex thermal systems in real-time, leveraging machine learning, optimization, and forecasting technologies. At our core, we're a collaborative, impact-driven, and technically ambitious team dedicated to transforming how heat and power are produced and consumed.

Dimmi is an early-stage Danish legaltech SaaS start-up revolutionising how European companies navigate the complexities of immigration law across the European Union. Companies across Europe are increasingly in need of international labour and talent. Yet navigating immigration law and obtaining work permits is highly challenging and costly for companies of all sizes. Combining unique research and legal insight into migration law and global mobility with augmented retrieval technology, Dimmi is building the first-ever digital infrastructure for end-to-end case handling of international hires, making legal immigration compliance fast, easy, and cost-predictable. From guiding users through the most viable visa track, deadlines, and documentation requirements, Dimmi empowers companies to file compliant applications to the authorities faster, cheaper and with higher rates of compliance. Dimmi is a spin-out company pioneered by a research project conducted by research conducted at the University of Copenhagen, Center of Excellence for Global Mobility Law by Dr Christian Prener with aim of resolving the major legal and financial bottlenecks that European companies face when hiring candidates from outside of the EU. The project is funded by Lighthouse, University of Copenhagen’s innovation centre and currently based at the University of Copenhagen. We are in search of a co-founding CTO to lead the development of the technical platform in collaboration with the Alexandra Institute. Both junior and senior product architects and software developers are encouraged to reach out to hear more.

We are developing a system intended to replace fixed interfaces with software that adapts in real time. Current products still depend on predefined UI paths that fail when underlying models behave in new ways. This gap limits how far teams can push advanced automation. The platform is being designed as a runtime that can generate interface elements dynamically. It aims to let products reorganize themselves around model output and user context without manual UI wiring. The goal is to enable applications that won’t rely on static interaction surfaces once the system is fully realized.