We are building an early-stage deep-tech startup developing advanced robotics, computer vision and laser-based systems for high-precision detection and response in complex environments. The problem we are addressing is the growing need for faster, more automated and scalable protection systems. Drones and other fast-moving autonomous technologies are becoming increasingly accessible, capable and difficult to manage with traditional methods. This creates new challenges for protecting critical infrastructure, sensitive areas, public spaces and high-value assets. Our solution combines real-time computer vision, mechatronics, precision control and a laser-based system into an automated technology platform. The goal is to detect, track and respond to relevant objects with high accuracy, while reducing the need for manual operation and making the system more scalable than many existing alternatives. We are working on this because we believe there is a strong need for intelligent, cost-effective and technically advanced systems that can help society respond to emerging security and infrastructure challenges. By combining software, hardware and robotics, we aim to build a platform that can create real-world impact in areas where speed, precision and reliability are critical.

For too long, healthcare has been reactive. Focused on treatment after problems appear, rather than prevention and performance. We're building the alternative: a physician-led health optimization platform that combines deep diagnostics with personalized protocols. 60+ biomarker testing, physical performance assessments, and dedicated physician support, all built into a continuous loop: measure, interpret, intervene, track, learn. Our mission is to make proactive, data-driven healthcare accessible, personal, and continuous. Cue turns medical insight into something you can measure, understand, and act on. No generic protocols. No one-size-fits-all care. Just personalized hormone and health optimization built on your own data. Based in Copenhagen. Building the category for proactive health in Europe.

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.

Ankerias is building an AI-powered software platform to improve how chronic neuropathic pain is treated. We help clinicians make better treatment decisions in complex conditions where outcomes are often driven by trial and error. Neuropathic pain affects hundreds of millions of people globally, yet matching the right patient with the right treatment remains a major challenge. We combine clinical expertise with AI and data-driven methods to enable more precise and personalized care. We build data-driven patient models (“digital twins”) from clinical and physiological data to support better diagnosis and treatment decisions. Our goal is to bring better decision-making into everyday clinical practice. We work closely with clinicians, universities, and AI researchers, and bring together expertise in pain research, healthcare, and technology. We are a team with strong backgrounds in pain research, clinical collaboration, and AI-driven technology. We collaborate closely with clinicians, universities, and AI researchers.

Kapitel is a Nordic book platform that brings together the best of Wikipedia and Goodreads — a place where readers across the Nordics and Europe can discover books, track their reading, and connect through book clubs. We're building the go-to destination for Nordic readers: rich book pages with editorial content and community reviews, personal reading lists, and social book clubs where friends and strangers read together. Integrated with local bookstores across Denmark, Norway, Sweden, and beyond, Kapitel makes it easy to go from discovery to purchase — all in your own language. Starting in Denmark and expanding across the Nordics, Kapitel is built for readers who take books seriously.

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.

WinWinKit provides a comprehensive solution for implementing affiliates and referral programs in mobile applications. Our toolkit simplifies the process of building, integrating, and launching effective referral systems, enabling app developers to drive organic growth through word-of-mouth marketing while enhancing user engagement and loyalty. Why for mobile apps? - Because there are no solution that solves the challenge of marketing attribution and that would fit the modern social media world. Why did I start working on it? - Because I needed a tool like that myself, and there is a huge market for the web-first apps, but not for mobile.

Tech Nordic Advocates is Northern Europe’s largest and only pan-Nordic/Baltic tech startup organisation. We’re a not-for-profit community that brings entrepreneurs, investors, corporates and experts together to fuel innovation, collaboration and growth across the region and internationally. We’re part of Global Tech Advocates, a worldwide tech community of 48 hubs, across 60 countries and 30,000 tech leaders – helping to connect our ecosystem to the world.

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.

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.

We are a boutique talent management and influencer marketing agency that specializes in bridging the Influencer type of storytelling with data-driven performance. Originally founded as the innovation project "Vimacy," we rebranded to symbolize a close-knit of high quality influencers mixing the words "Enclave" and "Universe". Starting with a traditional agency business model, we are moving towards AI first approach BUT maintaining a human in the loop, As we notice the importance of Personal relationships with brands. The "AI-First" Evolution This model aligns with the vision of Andreessen Horowitz (a16z), who have stated their intention to back "AI-first" business models. Following a16z’s thesis that the next era of industry leaders will have AI at their core rather than as an add-on, we are building Enclaverse toward an automated, data-native infrastructure. By treating the creator economy as a technology stack.

In Tally, we are building an AI-powered financial reporting assistant that makes it effortless for businesses to access and understand their own financial data. We are solving a core problem in finance: companies often have the data, but it’s locked behind fragmented systems, complex reports, and manual processes that make it slow and difficult to turn numbers into clear decisions. Getting answers to basic questions—what’s driving performance, what changed, what needs attention—too often requires spreadsheets, specialists, and time most teams don’t have. Tally acts as an assisting number brain: it understands financial data, translates it into simple insights, and helps businesses work smarter and faster. We’re building the future of financial services around three principles—credibility (trust, transparency, and integrity), security (full control of data protection), and simplicity (reducing complexity so financial reporting is easy to attain and act on).

Diverge is a Danish AI startup building specialized AI shopping assistants for e-commerce. We solve the problem that online stores struggle to guide customers through large and complex product catalogs, which leads to lost sales, poor customer experiences, and high support costs. Our AI is built specifically for e-commerce and goes beyond answering FAQs by actively helping customers find and choose the right products. We combine a scalable SaaS platform with tailored implementation and fast execution, integrating seamlessly with existing systems and delivering measurable results in weeks.

Silicon Valhalla is a Nordic tech intelligence hub that maps startups, founders, investors, and market signals across the Nordic region, with a particular emphasis on AI, SaaS, and frontier innovation. It exists to make the “Silicon Valhalla” ecosystem - Nordic tech’s answer to Silicon Valley - more visible, navigable, and investable for founders, operators, and capital. The platform combines a curated startup directory, an events calendar, and ecosystem insights into a single, neutral entry point for Nordic tech. Startups and scaleups get structured profiles highlighting what they do, where they are based, which sector they play in, and how to reach them, while investors and partners can quickly scan emerging companies across AI, climate, fintech, deep tech, and more. A continuously updated view of companies and activity aims to surface momentum early, so users can spot new categories, breakout teams, and upcoming fundraising stories before they hit the mainstream. Silicon Valhalla is designed to be independent and ecosystem-first rather than a job board or paywalled database. The service is currently free to use, making discovery accessible while opening the door for future premium offerings such as featured profiles, highlighted events, and deeper signal products for investors and corporates. In short, Silicon Valhalla is building the default map and narrative for Nordic tech: a living overview of the startups, talent, and ideas turning the region into one of the most dynamic innovation hubs in Europe.

Rock Flour Company is a dynamic, mission-driven startup founded by Professor Minik Rosing, the world-renowned geologist and pioneer of utilizing Greenlandic Rock Flour (GRF) for carbon-negative agronomic applications. Our core mission is ambitious: to bring GRF to market, enabling sustainable agriculture, facilitating carbon removals at scale, and delivering tangible economic benefits to local communities in both Greenland and specific farming regions globally. Today, we’re a dynamic core team of five with a validated potential by top investors across the globe. In September this year, we raised our second financing round featuring major commitments from Danish & Greenlandic institutional investors like Novo Holdings, EIFO (Danish state venture fund), SISA, and Nalik Ventures.