RATOONG is an early stage start-up working to improve the way we find ski resorts and rate them. We aim to become the global platform with-in the ski community of approx. 120 mill potential users. We completely change the way you today search for a ski destination or how you decide where to go. We will also revolutionize way ski-resorts are rated today.Our core team so far consist of skiers but we are looking to expand the team and therefore we might want you. Ratoong manifesto! Our overall purpose is to make the whole skiing eco-system thrive and grow so that as many people as possible can enjoy the amazing experience of skiing/snowboarding (in the following just called skiing). Skiing is unique because it offers an amazing way to play, exercise, be together, compete, relax, and enjoy nature. Riding in the snow should make you #smilieinthesnow - one day without a good laugh or smile is a wasted day ⚖ We believe in sustainability - we support our users and the industry is changing the industry to operate with sustainable strategies and behavior ⚖ We believe in diversity - regardless of gender, identification, or cultural background ⚖ We are open to all cultures - the world is better if we all just get along ⚖ We are passionate about what we do - we want this to spread to everyone around us including our users and business partners ⚖ All we do is based on our users - we are user-centric to the extreme. We believe that the user experience should always be our first priority and that this approach will always be the most profitable for Ratoong ⚖ We collaborate and support each other - life is better when we work together and share successes and pains alike ⚖ We always welcome people with warmth and a smile - in all our communication ways ⚖ We are open and honest and treat others with respect ⚖ Flexibility in our daily work life is essential - getting freedom is obvious but it goes hand in hand with showing responsibility ⚖ All destinations hold unique qualities and all will thrive from feedback from users ⚖ We only use ads/commercials in select sections of our platform ⚖ We aim to be objective in all we do - e.g. our data specifically can not be altered, excluded, or incorrectly influenced by partners or for financial gain. ⚖

The DROPBOY platform is fully live and allows companies to create their own digital infrastructure for last mile deliveries. We are a Danish software company delivering the online software to enhance effectiveness, profitability and improved customer service for companies with first and last mile transport needs. We started In 2014 and today we allows companies to create their own digital infrastructure for last mile deliveries.DROPBOY is developed by people with great experience from the transport industry. Today's processes within transport can be handled smarter and more cost-efficient - for the benefit of the industry and the environment.

North Star Tech Oy is a Finnish company that makes research integrity verifiable. Its product, North Keeper, is a verifiability layer for the research lifecycle, built on Microsoft Azure. Research integrity is now a board-level obligation for universities, research funders, and publishers, driven by the reproducibility crisis, fabricated results, and tightening funder mandates. Today integrity is asserted, not proven: ethics approvals sit in filing cabinets, reproducibility lives in a methods section few can rerun, and grant spending is reconciled long after the money is gone. North Keeper runs deterministic checks on the research record and turns each passed check into verifiable evidence. It can prove that identified records met defined integrity controls at a point in time, recorded as evidence a funder, journal, or auditor can verify directly. This is the distinction the product is built on: proof, not assurance. It does not claim that a scientific conclusion is true. The first check covers ethical consent, with reproducibility and responsible spending as deliberate later phases. Each passed check is issued as a tamper-evident, post-quantum-signed True North Certificate and recorded in the True North Registry, a public, append-only record anyone can verify against. North Keeper consumes Microsoft Purview, Microsoft Fabric, and Azure Cost Management as substrate rather than rebuilding them; the owned engines and the registry are what make the evidence independent. North Keeper is a transactable ISV product on the Microsoft Azure Marketplace, with metered consumption pricing and Microsoft co-sell, so customers buy through their existing Microsoft agreement. North Star Tech Oy is based in Helsinki and serves universities, research funders, and publishers across the EU and the Nordic region first, then the wider global research market.

Costile is an AI agent diagnostic proxy for teams building production AI workflows. As companies start using AI agents for support, research, coding, internal operations, and automation, they run into a new kind of infrastructure problem: the agent may technically work, but nobody knows when it is wasting money, looping, retrying badly, using the wrong model, or silently drifting outside expected cost behavior. Most teams can see their total AI bill after the fact. That is too late. What they need is operational visibility into which agent caused the spend, what pattern caused it, how severe it is, and what action should be taken. Costile sits between a company’s AI agents and model providers such as Anthropic. It routes requests through a proxy, logs only metadata such as model, tokens, cost, timestamps, agent ID, session ID, and stop reason, and turns that metadata into diagnostics. Prompts and responses are not stored. The product shows teams a command-center view of their AI agents: which agents are healthy, which are critical, what they spent in the selected time window, and what issue is driving the risk. When an agent is flagged, Costile gives a diagnostic report with the incident window, request log, baseline comparison, projected monthly exposure, and recommended fix. The problem we are solving is not just “AI is expensive.” The deeper problem is that AI agents are becoming autonomous software systems, but companies are still monitoring them like simple API calls. A bad agent loop, retry cascade, model-routing mistake, or runaway request can create cost, reliability, and governance risk before anyone notices. Costile helps engineering, product, and operations teams answer three questions quickly: What is going wrong? Which agent or session caused it? What should we do now? The initial product focuses on AI cost diagnostics, haywire detection, alerts, audit logs, API key management, and enterprise-ready reporting. Over time, Costile can become the observability and control layer for AI agent operations.

............................................................. SecondShopper is the app that makes secondhand shopping easy, smart, and inspiring. We bring together thrift stores, vintage shops, and flea markets into one curated, location-based platform - connecting conscious consumers with local gems

LoyaltyPlays in brief: Problem: Each year, everyday consumers lose over €100B in expiring loyalty points. Programs are designed to reward the 5% of members with the highest balances, who can afford free flights and hotel stays. The remaining 95%, ordinary consumers who travel a few times a year and earn a few thousand points, have no meaningful rewards available to them. Solution: The LoyaltyPlays anyplay platform opens redemption for this excluded 95%. Members can redeem premium digital entertainment gift cards, including Apple App Store, Google Play, PlayStation, Spotify, and Steam, starting from €5 (roughly 5,000 points). Why digital entertainment: The category has over 85% penetration across all consumer segments and over 90% among digital natives, particularly Gen Z. Our team's previous platform in this space achieved a 24.2% visitor-to-redemption conversion rate with a €23 average redemption value. Why us: The LoyaltyPlays team has over a decade of presence in the international loyalty industry, with direct relationships to loyalty programs ranging from 20M to 250M members. The team has received three international awards, including Red Herring's Most Innovative Companies and The Loyalty Awards' Best Loyalty Partnership. There is active, current demand for this solution across Western and emerging markets.

Crowdsorsa is a fast-growing mobile app startup on a mission to save the environment. What are we about? Crowdsorsa is a mobile game where people earn money by collecting data or doing micro-tasks that help cities improve the state of the built and natural environments. You can learn more about us at https://crowdsorsa.com/. Our application has been featured in over four hundred news articles and acknowledged by an international innovation award. We currently operate in Finland, Sweden, Norway, and Canada.

AI Rookie helps companies turn AI interest into real capability. Many organizations want their employees to use AI more effectively, but they struggle to move from inspiration to practical adoption. Traditional training is often too generic, too theoretical, and quickly forgotten. Employees need relevant guidance, hands-on support, and someone they can learn from in the context of their actual work. That is the problem we are solving. AI Rookie is a platform where companies can give their employees access to experienced AI mentors who help them build confidence, skills, and real-world AI workflows. Instead of one-off courses, we focus on practical mentoring that makes AI useful in everyday work. We are building AI Rookie because we believe the biggest barrier to AI adoption is not the state of the technology— it is the gap between potential and implementation. Companies need a better way to help their people learn by doing, ask questions, and apply AI responsibly and effectively.

Qfix offer a digital platform that seamlessly integrate the local tailors with e-tailers, advertising platforms and logistics providers, which have an enormous potential to enable circular business models while creating efficiency in the entire process. The textile industry is one of the most resource-intensive sectors globally and accounts for approximately 10 percent of global greenhouse gas emissions. EU has identified textiles as one of the seven key product value chains that require increased circularity. Circular business models for clothing, such as secondhand sales, rental models, repair of worn garments, repair of reclaimed products, adjustments for better fit have been shown to significantly reduce environmental impact. The aims is to make the local tailors the hub of the circular transition by making existing repair services more accessible.

The Stable Hour is currently under development. While we're not ready to reveal the full details just yet, we're excited to begin sharing the journey. Follow our official platforms and channels to stay updated, discover upcoming announcements, and be among the first to find out what's taking shape behind the scenes. More information will be shared soon.

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.

The Problem: What problem are you attempting to solve, and how big is it? Children suffering from school refusal systematically fall out of the education system because traditional teaching methods fail to meet their individual learning needs. Today, 110,000 children have experienced school refusal—equivalent to one in five students. This target group becomes isolated at home during their school years, which later leads to difficulties in securing and maintaining employment, costing society 2.2 billion annually. Research shows that the most critical factor for these students is restoring their self-confidence regarding learning; they need to experience learning as a positive activity and process the traumas that led to their school refusal (The Back2School Modular Cognitive Behavioral Intervention, 2024). Therefore, before attempting to reintegrate students into the physical school environment, it is crucial to rebuild their confidence and bring them up to the academic level of their peers to reduce feelings of stigmatization. The Solution: What is your idea? Describe your product or service. GradeAid is an AI agent that creates personalized learning experiences. Students simply scan their homework or verbalize what they wish to learn. Our AI then generates tailored content derived from pedagogically validated materials, specifically designed for children who lack academic confidence or have fallen behind. The system continuously learns from the student's interactions and automatically adapts the curriculum. This helps restore the self-confidence and joy of learning that many of these students lack, while ensuring the process is both personalized and fun. The platform features a 24/7 AI tutor providing instant feedback. Through gamification, students earn coins for their virtual pets. This approach was selected because research has long established that gamification effectively builds confidence and helps children re-engage with learning (Impact of gamification on school engagement: a systematic review, 2024). Instead of forcing the child to fit the system, our technology adapts to the child's way of learning. Our intention is to build confidence so that children find it easier to return to school, equipped with the mental energy to focus on social reintegration. The platform supports both English and Danish. We are currently testing the Danish version.

Nezto is a property intelligence platform that transforms how people and professionals evaluate and decide on residential property decisions. The company combines advanced machine learning valuation models, Computer Vision technology, proprietary data sources, and investment logic to deliver deeper insights and data‑backed recommendations for real estate professionals, homebuyers and sellers.

Only 7.9% of new medicin is approved for phase 1 clinical programs - life saving cures are being scrapped because of poor reproducibility. Today, researchers designing complex in vitro and in vivo experiments jump between many tools that do not talk to each other. Protocols are written in free text, naming is inconsistent, raw data is scattered across drives, and inventory and cell banks are tracked separately. This makes it hard to reproduce experiments, compare results across projects, trace which cell material went into which batch, and satisfy regulatory expectations. Small and mid-sized labs often cannot afford enterprise platforms like Benchling or Dotmatics, so they manually glue everything together and rarely get to use advanced analytics or AI. BioPilot solves this by standardising the full early-to-in-vivo CTR pipeline in one product. Users can register and template in vitro experiments (differentiation, expansion, cryopreservation, device testing, etc.) and in vivo studies (animals, groups, dosing, housing, ethics documents) using fixed ontologies. This gives every experiment a structured schema and a precise schedule of readouts, barcodes and data types to collect. Raw data (FACS, scRNA-seq, imaging, counters, bioreactor logs, etc.) is then automatically linked back to the right experiment, condition and sample. On top of this, BioPilot offers: • Inventory and cell bank tracking that makes it trivial to trace which vial, edit or expansion batch was used where. • Live bioreactor monitoring with alarms (email / phone) to prevent losing expensive batches. • A growing library of free analytical tools, including automated FACS gating, scRNA-seq pipelines and image analysis that can feed results straight back into the experiment records. • A global ontology service for vendors, instruments, cell lines, species and process terms, with a roadmap for a public API. Because everything is structured and queryable, BioPilot makes it much easier to compare experiments, run Bayesian optimisation on process parameters, and let AI suggest next-step experiments. The pricing is kept aggressively low (free tier plus a simple paid tier based on storage), so smaller biotech and academic groups can access capabilities that are normally reserved for organisations with large software budgets. In short, BioPilot aims to become the operating system for cell therapy R&D: a single, affordable platform where experiments are planned, executed, monitored and analysed in a way that is standardised enough for automation and flexible enough for real-world biology.

Nørd Studio is a Scandinavian branding and packaging agency based in Copenhagen (we work fully remote). We create human brands that communicate clearly and effectively without resorting to shouting. That last part matters. In a world of loud, trend-chasing designs, we deliberately do things differently. Minimal. Honest. Considered. This is not just an aesthetic choice; it's a philosophy that underpins everything we do, from our design process to our pricing strategy and how we treat the people we work with. We specialise in branding, including logos, visual systems, packaging, stationery and pitch decks. We write copy that sounds human, not like a press release. We also build websites from scratch — no templates or shortcuts, just fast, SEO-ready sites. We're a small studio, and that's intentional. Every client works directly with the people doing the work. Every project receives our full attention. There are no account managers, no handoffs and no diluted output. We're not looking to grow quickly. We want to grow well, with the right people on the right projects.