Beleco is the most flexible subscription service and workplace management software that makes your work, work. Anywhere. Companies subscribe to furniture and work products for workspaces fully flexible per month from more than 50+ well-known suppliers. Easily set up and equip your team with home office equipment so that they may work anywhere. With Beleco you can also manage all your company inventory and devices with just a few clicks, and assign them to offices, rooms or team members. All this – on one monthly invoice. The suppliers own the products, Beleco rents them out, and then we share the profit. The concept brings together high-quality design with simplicity and high availability letting users access items in both shorter and longer times. By maximizing the value of furniture throughout its life cycle, Beleco is transforming the furniture industry and developing a more sustainable society. Beleco serves over 400+ Startups, Unicorns, and Fortune 500 companies like Kry, Pleo, Bolt and Epidemic Sound. Launched in Sweden, the UK, and Germany with office furniture subscriptions and Europe if you want to equip your team with home office solutions.

HR Connect er en rekrutteringsvirksomhed med fokus på search – det betyder at vi gør meget ud af finde de helt rigtig kandidater for netop dig. Vi hjælper dig med at screene Danmarks største databaser for jobsøgende kandidater og eksponerer din stillingsannonce for de kandidater, som lever op til dine krav – formålet er at connecte virksomheder med de rette kandidater.

Tenol is developing a structured recruitment platform to help young candidates and local businesses solve the gap between first-job seekers and relevant entry-level job opportunities through practical matching, candidate screening and a clearer recruitment process. Many young people struggle to get their first job, not necessarily because they lack motivation, but because the path into work is unclear. They often do not know where to start, how to present themselves, or how to become visible to employers. At the same time, many businesses need motivated people for full- or part-time roles, extra help, weekend shifts and practical tasks, but do not always have the time or structure to find and assess young candidates properly. This creates a gap between young people who want to work and businesses that need help. Tenol is focused on making that connection easier, safer and more structured. Tenol helps candidates register their interest, availability and profile in a structured way. Businesses can describe their needs, such as role, working hours, requirements and preferred candidate profile. Tenol then works to match candidates with relevant opportunities based on practical fit, including availability, motivation, role requirements and communication. Instead of only forwarding names, Tenol aims to provide businesses with clearer candidate shortlists and structured candidate presentations. The goal is to reduce friction for businesses while giving young candidates a more professional and understandable path into working life. The motivation behind Tenol comes from seeing how difficult the first step into working life can be for many young people. A lot of candidates are motivated, but they are not always given a clear or fair way to show it. At the same time, businesses often need reliable help, but the process of finding young candidates can be time-consuming and unstructured. Tenol was started because this connection can be better. First jobs matter. They build confidence, experience, responsibility and future opportunities. Tenol exists to make that first connection between candidate and employer more practical, structured and human.

Mitt Barnebarn er en seniorhjelp-bedrift i Trondheim. Vi hjelper hjemmeboende seniorer med det praktiske i hverdagen: renhold, hagearbeid, småreparasjoner, handling og digital hjelp. Navnet sier det meste: vi stiller opp slik et barnebarn ville gjort. Et menneske på døra, god teknologi i ryggen. Problemet vi jobber med er at mange eldre faller mellom familie som ikke rekker det, og en kommune med vedtak og ventelister. De trenger trygg, fast hjelp uten byråkrati. Det er det vi gir dem, med samme hjelper hver gang. Det som gjør oss spesielle: hjelperne våre er unge mennesker, og for mange er dette den første jobben. Hvert besøk blir et generasjonsmøte der en ungdom og en senior faktisk blir kjent. Vi tror unge kan styrke eldreomsorgen og avlaste en presset kommune, og vi bygger en bedrift som beviser det. Vi er et ungt team som bygger noe fra bunnen, og vi tenker stort: å vokse by for by, og gjøre kontoret til en hub der unge får prøve egne ideer, lære ferdigheter de tar med seg videre, og bygge noe som betyr noe. Å jobbe hos oss skal være meningsfullt, og du skal vokse av det.

Buildright is developing an AI intelligence layer for construction projects to help contractors and project teams solve invisible risk — by turning the data already generated on every project into actionable insights before problems become costs. The problem hiding in plain sight Construction is broken. 85% of large projects finish over budget. Rework accounts for 9% of total project cost. Delays cost $280bn annually in North America alone. The signals that predict these outcomes already exist — in meeting notes, deviation logs, change orders, and task lists. But no one sees them in time to act. Risk only becomes visible after it has already cost you. This affects every contractor, project manager, site foreman, and HSE officer on every project — in an industry that represents trillions in global economic activity. From raw data to the right decision Buildright connects the data already generated on construction projects and surfaces the right insight to the right person — at every level of the organisation. Project directors get cross-project risk visibility to see which projects need attention before they escalate. PMs, HSE managers, and quality leads get role-specific dashboards with the decisions they need to make, surfaced daily. Site crews get targeted microlearning triggered automatically when a risk pattern is detected — before the next shift starts. But we go beyond insights. Buildright also automates the everyday tasks that consume project teams — generating alerts when something needs attention, and producing artifacts like meeting packs, reports, and change-order traces automatically. The result is not just better visibility, but a meaningfully more efficient project team. We're live in production with AF Gruppen and Betonmast, two of Norway's largest contractors. 100,000+ deviations, tasks, and meeting notes analysed — with a confirmed 10x ROI from our pilots. The urge to solve a global problem Lars Gaustad spent years at the top of the construction industry — and watched the same story play out over and over. Projects bleeding money. Deadlines slipping. And when it was over, everyone moved on. No real post-mortem. No learning. Just the next project, making the same mistakes. The industry wasn't short of ambition. It wasn't short of software. It was drowning in data it couldn't use. As CEO of Saint-Gobain Construction Products in Norway, Lars saw that the real problem wasn't digitalization — it was that decades of hard-won project knowledge was locked away, invisible, unreachable to the people who needed it most. Every project started from scratch. Every mistake was someone else's first time. That's not a technology problem. It's a fundamental failure to learn. And it's costing the industry hundreds of billions every year. That's why we build the construction industry's intelligence layer.

Tind Studio is an AI consultancy that helps Nordic businesses turn AI from hype into working solutions, through hands-on advisory, custom implementations, and team enablement. Most companies know AI will reshape their business but don't know where to start. Tools are everywhere, vendors overpromise, and internal teams lack the time and expertise to separate signal from noise. The result: stalled pilots, wasted spend, and missed competitive advantage. We work side-by-side with leadership and operational teams to identify high-value AI use cases, build custom solutions (agents, automations, internal tools, AI-powered workflows), and train teams to actually use them. Pragmatic, fast, and focused on real business outcomes, not demos. The Why Founder Joakim saw too many companies burning budget on AI projects that never shipped or never got adopted. Tind exists to close that gap, turning AI from a boardroom topic into measurable results in the day-to-day work.

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.

S core Nordic is developing the next generation of hardware and software (the infrastructure layer) to help city planners and parking operators bridge the urban data gap and optimize spaces, using 100% GDPR-compliant radar technology and open APIs. The Problem Cities are building advanced digital services, but the physical infrastructure on our streets remains blind. Every day, billion-dollar decisions regarding urban planning and mobility are made based on outdated assumptions and manual measurements. This leads to inefficiently used spaces, unnecessary search traffic, and increased CO2 emissions. Our Solution: The Digital Asphalt Our battery-powered mmWave sensors and Edge Computing continuously gather structured data on occupancy and flows in real-time. By using radar technology instead of cameras, the system is completely anonymous. Data is transmitted via our cloud architecture (PFind) and seamlessly integrated into the existing systems of municipalities and operators. Our Why We were founded on a simple but frustrating insight: A modern city cannot be managed by gut feeling, and citizen privacy must never be compromised to gather data. Our driving force is to give cities the right tools to govern themselves and reach their climate goals, entirely without mass surveillance. Now, we are building the team to make this a reality.

We're building the future of tennis - one Smart Tennis Court at a time Zenniz makes tennis courts intelligent. Our system delivers electronic line calling, real-time match analysis, video tools, and gamified drills by turning sensor data and video into insights that help players, coaches, and clubs perform at their best. We are used on courts around the world, and we are growing fast. This year, we are expanding our customer support operation from Finland into North America and beyond. This hire is where that starts.

Pyne is a Danish data and AI consultancy on a mission to make companies truly data-driven - and AI-ready. We combine deep expertise in the modern data stack (dbt, Snowflake, Azure Data Platform, Power BI) with a growing focus on applied AI, helping clients go from raw data to intelligent, automated solutions. We're a small, technical team that punches above its weight. Our clients range from mid-sized Danish companies to international organizations, and we pride ourselves on delivering real, working solutions rather than slide decks and strategy documents. Whether it's building a profitability model from scratch, deploying agentic AI workflows, or getting a messy data landscape under control, we roll up our sleeves and get it done. At Pyne, you'll work closely with experienced data professionals across a variety of client projects. You'll get exposure to the full spectrum of modern data engineering, analytics, and AI - from cloud architecture and transformation layers to building proof-of-concept AI solutions that solve real business problems. We believe in continuous learning and give our team room to grow into emerging technologies. We're currently in an exciting growth phase, expanding our capabilities at the intersection of data infrastructure and AI. If you want to be part of a consultancy where your technical skills make a direct impact and where you're trusted to own your work, Pyne is the place.

Henriksson Storage is a fast-growing self-storage company on a mission to modernize an industry that has long been expensive, inconvenient, and outdated. We solve a simple but widespread problem: people and businesses need flexible, secure storage – without long contracts, hidden fees, or complicated access. Traditional self-storage often comes with high prices, poor transparency, and friction-heavy processes. Henriksson Storage offers affordable, drive-up outdoor storage units with flexible terms, simple online booking, and clear pricing. Customers can drive directly to their unit, access it whenever they need, and scale up or down without hassle. Our model works just as well for households needing extra space as for tradespeople and small businesses storing tools, materials, or stock. Founded in Sweden, we are expanding rapidly across Sweden and the UK, with the ambition to build Europe’s leading outdoor self-storage network. We combine a lean, tech-enabled operating model with a strong focus on customer experience, local presence, and operational excellence. We are building a company where speed, ownership, and pragmatism matter – and where smart, driven people can have a real impact from day one.

Capipal is an AI-native company building an intelligent agent for credit analysis. We’re rethinking how credit decisions are made — moving away from fragmented spreadsheets, static reports, and manual workflows toward an AI system that can read, understand, and act on financial information end-to-end. Capipal’s agent analyzes companies using financial models, credit scoring frameworks, and real-world data to produce structured outputs such as credit assessments, risk analyses, and decision recommendations. Beyond analysis, the agent can execute manual workflows — from document handling and data extraction to ongoing case management — enabling a fully integrated, agentic approach to credit work. Instead of supporting analysts, we’re building a system that can operate like one — augmenting or automating large parts of the credit decision process while keeping humans in the loop. We’re at an early stage, moving fast, and exploring fundamental questions around trust, accountability, and human-AI collaboration in financial decision-making. We’re looking for builders who thrive in ambiguity, take ownership, and want to shape the future of how capital is allocated.

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.

We’re on a mission to make parking simple. By giving vehicle owners clear, on-the-spot insight into local parking rules, we help them avoid parking fines and park with confidence. With more than 600,000 parking tickets issued in Denmark in 2024, it’s clear that many drivers struggle to navigate and comply with parking rules. We’re developing AI-powered technology that translates complex parking rules into simple guidance—beginning in Denmark and eventually across Europe. By combining tech with regulations, we aim to eliminate confusion, stress, and unnecessary parking fines.