iPaper provides user-friendly software to publish online flipbooks on all devices. With iPaper, you can turn PDF files into interactive and dynamic publications enriched with innovative features. Track reader behavior, engage customers and boost sales by integrating your shop into your publications. As a Danish company founded in 2006, we were the first in the world to develop and introduce online flipbooks. Today, iPaper is used by all types of businesses around the globe and has over 20 million visitors every month.

Our employees are engaged and happy, and we have the data to prove it! We believe in giving our employees freedom, responsibility, and opportunities to grow. Together, we create a market-leading product that helps our customers become more engaged, happy and perform better. If you want to work alongside fun, driven and supportive colleagues while creating better workplaces around the world - Eletive is the place for you!

Maintenance in the property management world is still pretty analogue. Soundsensing aims to change that. At Soundsensing, we are building a platform for providing intelligence and insights to customers in the property management market, through sensors and machine learning. We gather data from any source: our own sensors developed in-house, existing sensors, and other data streams, before we turn the data into actionable insights through condition monitoring and predictive maintenance. We are developing technologies using machine learning, IoT and cloud computing. These are not buzzwords to us, and we need people capable of- and interested in building good solutions for these technologies. We are dedicated to solving hard problems - and we are growing rapidly.

Meili FMS is a fleet manager for mobile robots with a vendor-agnostic approach. It enables operators to collate their diverse fleet onto one platform. By using Meili FMS, our users can finally use their mobile robot fleet to its full potential by orchestrating their fleet as a collective, regardless of the robot’s application, brand, or type. Our main mission is to eliminate interoperability pain points that have started to cast a shadow over the robotics industry. With more businesses adopting robots to carry out inventory management, material handling, and other applications, fleets are becoming more diverse. Robot manufacturers can hardly keep up with this growing demand, which means that companies will be deploying robots from various brands — with different operating systems. This is where the problem arises. Currently, robot manufacturers develop their own FMS, which means minimal to no correlation between systems. In other words, the robots cannot communicate amongst each other, causing delays in operations, accidents, and collisions — ultimately increasing operation costs while diminishing safety and efficiency substantially. Frightfully, this problem may cripple the whole supply chain, with business owners starting to question their decisions on expanding operations with robots — as a result, stagnating the entire mobile robot market. There is a need for a universal third-party solution that can bridge the gap and enable seamless operation for the robots to function collectively rather than individually. At the same time, by having an overview of the whole fleet, robot management becomes much more effective. And that’s where we come in, with several important features: automated traffic control, smart task allocation algorithms, operator analytics, and unified mapping. With Meili FMS’s automated traffic control feature, robots in the same environment will operate in a safer and more organised manner — not only between individual robots but also between them and human-operated vehicles. Too often do robots navigate the facilities without a payload as the current solutions do not facilitate task queuing effectively, therefore wasting energy by needless travel or lengthy idle time. Using smart tasking algorithms, Meili FMS can help improve companies’ sustainability records as the robot fleets will no longer operate without a payload and wasting any energy. Furthermore, our pricing plans are very accessible to early-stage or small businesses. This will definitely lower the entry barriers, allowing businesses of any size to start investing in robots and automation, which facilitates the growth of the robotics industry.

QuantrolOx is an Anglo-Finnish deep-tech startup, spun out of the University of Oxford in 2021 and now headquartered in Espoo, Finland. We build AI- and machine-learning-based control software that automatically tunes, stabilizes, and optimizes qubits, the fundamental building blocks of quantum computers. The problem: Unlike classical computers, which run reliably for years with no intervention, today's quantum computers require constant manual tuning by highly trained quantum physicists just to keep qubits calibrated. Qubits are extremely sensitive to noise and drift, and as systems scale from dozens of qubits to the hundreds of thousands or millions needed for useful computation, this manual tuning problem grows exponentially harder. As a result, quantum labs spend most of their time and expert talent maintaining hardware instead of running computations or advancing the science. Why it matters: This tuning bottleneck is one of the biggest practical barriers standing between today's experimental quantum computers and commercially useful machines. There simply aren't, and never will be, enough expert physicists to hand-tune millions of qubits one by one, so without automation the industry cannot scale. Our solution: QuantrolOx's software runs on classical hardware alongside the quantum system, continuously monitoring and adjusting many parameters in real time, on microsecond timescales. It is technology-agnostic and can be applied across different qubit platforms, though we have initially focused on solid-state qubits, where we've already demonstrated clear improvements in tuning speed and machine uptime. By automating this process, we free up scientists' time, increase the useful operating time of quantum computers, and remove a key bottleneck to scaling the entire field

Proku is building an AI-native bid management platform to help Swedish B2B companies selling to the public sector win more tenders, by combining each company's own bid history with outcome data and human corrections into a system that improves with every bid written. Public procurement in Sweden represents roughly SEK 900 billion per year across approximately 18,000 published tenders. On the supplier side, the process is brutally inefficient. A mid-sized consulting or services company routinely spends 40 to 120 hours on a single bid: reading hundreds of pages of requirement documents, hunting down CVs and reference assignments, rewriting the same quality descriptions for the fifth time, and then reformatting everything to match a procurement officer's template. Win rates typically sit around 20 to 30 percent, which means most of that work gets written off. The problem hits hardest for companies competing on qualitative criteria, where evaluation is based on descriptions of methodology, competence, complexion of the tender and delivery rather than price alone. That is exactly where human writing determines the outcome, and exactly the part that is least systematized today. The knowledge lives in the heads of one or two people, rarely in a system. When they leave, it disappears. The consequence is that companies either walk away from business they could have won, or burn their margin on bid work that never converts. Proku is the workspace and data plattform where the bid is actually written, not another monitoring tool that stops at sending notifications. The platform ingests the tender documentation and breaks it down into a structured requirement matrix covering mandatory criteria, weighted criteria, and the evaluation model. It then generates drafts per requirement, grounded in the company's own previous bids, CV database, and reference assignments, with integrations to the systems where that material already lives: Cinode, CV Partner, SharePoint. Every draft is traceable to its source, which matters in a context where an inaccurate claim can disqualify the entire bid. What makes this hard to copy is not the model but the data. Because we own the writing surface, we capture three signals no monitoring service has access to: what was written, what the human changed before submission, and whether the bid won or lost. That combination means quality compounds with usage, both per customer and across the customer base. My co-founder Sadegh and I previously built and sold a digital agency. We spent an unreasonable amount of our own time on public sector bids, and kept having the same experience: we knew we were the right supplier, but lost because we did not have the energy to describe it as carefully as we had in the last bid. The work was repetitive, the knowledge already existed in the company, and we still started from a blank document every single time. When we started talking to other companies, we realized this was not our incompetence. It is a structural problem across the entire supplier side. The public sector has digitized its half of the process. Suppliers are still in Word. This is a market with enormous volume, clearly measurable outcomes, and almost no modern software. We believe whoever owns the writing surface toward the public sector in the Nordics builds something very large, and we intend to be the ones who do it.

Maranics builds a platform that digitalizes operational workflows in complex, regulated industries. Where data was previously lost, scattered across silos, or trapped in manual processes, Maranics creates a single connected layer capturing what matters, routing it in real time, and delivering accurate, contextual data directly to the systems that need it.

Defend Denmark er Danmarks første og eneste lokale bug bounty platform. Vi forbinder danske etiske hackere med danske virksomheder, så sårbarheder bliver opdaget og lukket inden de udvikler sig til reelle trusler. På platformen kan etiske hackere lede efter sikkerhedshuller hos vores kunder. Finder en hacker en reel sårbarhed, udbetaler kunden en dusør. Det gør it-sikkerhed resultatorienteret frem for tidsorienteret, som ellers er normen i konsulentverdenen. Målet er at få flere danske virksomheder til at tage bug bounty modellen til sig som et aktivt værktøj i deres sikkerhedsarbejde. Defend Denmark er søstervirksomhed til islandske Defend Iceland. Vi er stadig tidligt i opbygningen af virksomheden og kommende medarbejdere får reel indflydelse på de praktiske rammer, herunder kontorplacering og daglige arbejdsgange.

Nordic Valley is a Scandinavian innovation hub focused on building, owning, and scaling AI-driven digital platforms. We create and manage technology ventures that address real structural challenges across talent, innovation, and organisational development. Our approach combines long-term ownership, disciplined execution, and close collaboration with founders, institutions, and ecosystem partners. Nordic Valley serves as the strategic and operational backbone behind our portfolio providing governance, capital structure, and product direction from early build to scale. Under the Nordic Valley umbrella, we develop and own AI-powered platforms including: - Nordly: Talent Hiring Platform - Automated Funding Discovery & Application Tool - Founder & Startup Collaboration Networks - Strategic Advisory & Venture Support

We build software for general practitioners (doctors) in Denmark. Our software manages everything the doctor and other staff does, including calendar, journaling, prescriptions, vaccinations, lab tests, etc. We started in 2024 and launched in May 2025, and are now onboarding customers across Denmark.

Calibras digitalizes manufacturing workflows and provides strategic digital transformation consultancy for manufacturing companies. Our platform, Elector, is a European Manufacturing AI that provides a flexible and sovereign intelligent workspace for manufacturing suppliers and consultants, reducing the time they spent on analytical & documentation generating workflows by up to 60 %, at a lower price and with on-premise option.

Cobrief er et AI-drevet anbudsverktøy for deg som vil bruke mindre tid på å besvare offentlige anbud. Med vårt AI-anbudverktøy kan du finne, vurdere og skrive anbud på en måte du kanskje ikke trodde var mulig. Finner anbud Cobrief finner offentlige anbud som passer selskapet ditt og varsler deg via e-post eller Slack. Vurderer på sekunder AI skanner gjennom anbudet og gir deg beslutningsgrunnlaget strukturert på én side. Skriv anbud med AI Cobrief AI hjelper deg å besvare anbudet, med ditt innhold og dine egne ord.

NODES is the independent marketplace for a sustainable energy future where grid owners, producers, and consumers of energy can trade decentralized flexibility and energy. NODES, as an independent market operator, is addressing key trends and challenges in the energy system such as increased share of renewable power production, decentralized generation, and the rapid change of customer behavior. NODES vision is to build Europe’s most customer-centric, integrated energy marketplace to unlock the value of local flexible power resources and support the drive to a sustainable, emission-free future. NODES mission is to facilitate the optimal use of flexibility in the grid by offering an open, integrated marketplace to all flexibility providers and grid operators.

Mobai simplifies everyday life and increases ICT security by using biometrics to: Verify and authenticate people, Detect attacks on facial recognition systems, Detects Face Morph Images in ID photos, and Provide technology to use biometrics in digital signatures. A spin-off from the Norwegian Biometrics Laboratory at the Norwegian University of Science and Technology. We offer: Opportunity to work with products and services that are fundamental to secure everyone a part in a digital world regardless of age, nationality, language, ethnicity, IT literacy, and IT experience.To become a part of a dedicated, talented, and passionate team with international ambitions and international opportunities A job that offers lots of freedom and an equal amount of responsibility and accountability. Professional challenges, significant responsibility, and the opportunity to directly influence products that help shape the future of the biometric industry.Great opportunities for further learning and professional development in one of the fastest-growing areas in the tech industry - academically and professionally. Flexible office arrangements. Physical location, hybrid meeting places, and home office. Modern and central offices in Oslo and GjøvikCompetitive terms and benefits include insurance (health, travel, and pension)

We are a tech startup, developing a B2B SaaS product: a AI-based software platform that can identify, classify, and evaluate external damages on cars. It is our ambition to provide reliable, simple, and decentralized car handover processes in order to enable a transition into a new paradigm of the rental and sharing economy! With our software we are leveraging machine learning to enable fleet owners, to automate repetitive work, avoid errors when inspecting cars and provide a standardized service across all branches. Simultaneously, we are helping customers to increase efficiency and cut costs.