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).

Kihleo is a medtech startup developing an early warning system for urinary tract infections in older people with incontinence receiving care at home or in nursing homes. UTIs are one of the most common reasons for acute deterioration, confusion, and hospitalisation in this group. They are challenging to detect early, because symptoms are often vague, many older people cannot clearly communicate discomfort, and home care staff and nurses have minimal time. Today, detection is primarily reactive. Staff notice that something is wrong, then order urine tests and start treatment when the infection is already well underway. This leads to unnecessary suffering, avoidable admissions, and a high use of antibiotics. Kihleo’s solution is a small sensor placed in the diaper that measures biomarkers in the urine every time the person voids. When the diaper is changed, the sensor is read, and data is sent to a secure backend. Algorithms and predictive models analyse patterns over time and provide early, trustworthy indications that an infection may be developing, days before clinical symptoms are usually recognised. The system is not a diagnostic tool. It is a decision-support and early-warning system that integrates into existing workflows and helps staff decide when to look more closely, consult a nurse or doctor, and perform standard diagnostic tests. The value is threefold. For older people, it means faster and more targeted treatment, fewer severe infections, less confusion, and a better day-to-day quality of life. For relatives and care staff, it provides reassurance, objective data, and more time for actual care rather than crisis management. For the public sector, it helps prevent avoidable hospitalisations and complications that are both expensive and resource-intensive. Kihleo is working with a hardware partner on sensor development and is already in dialogue with Danish municipalities about pilot projects. The long-term vision is to create a scalable, data-driven platform for early detection of infections and other complications in elderly care, using everyday materials like diapers as non-invasive data sources.

The Problem Most workplaces struggle with high sick leave — and the root causes are rarely acute injuries or illness. They are lifestyle-driven issues: • fatigue and low energy • stress and mental strain • poor sleep • musculoskeletal pain • unhealthy habits • lack of support These problems build up over time, and employees try to handle them alone. But people don’t change their health on their own — and employers don’t have the tools or competency to help them. The result? High sick leave costs, reduced productivity, and employees who are stuck in patterns they can’t break. Why it matters Sick leave is one of the biggest hidden costs in business. A single employee on sick leave costs on average 65 200 kr per year — and 20% of employees account for 80% of the total. Most of these cases are preventable with the right support. At the same time, people want help: 85% prefer guidance from a qualified professional rather than trying to solve health challenges alone. ABEL’s Role ABEL solves this gap. We connect employees with qualified health coaches who follow them closely over time — mentally, physically, and socially. Through structured guidance and our digital platform, we help people make sustainable lifestyle changes that reduce sick leave and increase wellbeing. The impact: Employees get better health. Companies save money. Society reduces the burden of preventable illness.

At Soolv, we help the world’s most attractive employers identify and develop future stars. Each year, these companies receive thousands of applications - filled with CVs, cover letters, transcripts, assessments, and interview notes. Over time, they generate even more data from performance reviews, staffing decisions, and project evaluations. This represents vast amounts of data that could be used to analyze and predict exceptional talent - yet they still rely on manual processes and intuition for their most important people decisions. Soolv is the AI platform that turns these hidden signals into actionable intelligence - finally bringing data-driven precision to every high-stakes decision about people. We’re backed by top-tier Nordic early-stage investors, and our customers are top firms in investment banking, law, consulting, and tech. Founded by alumni from McKinsey, Spacemaker, and reMarkable, with backgrounds from Cambridge, KTH, and NTNU, we combine deep AI expertise with first-hand experience from high-performance environments.

DFRNT provides the world’s most reliable business information exchange through the platform for justified trust; including model-based business reporting infrastructure with the Twinfox product; and semantic data hub solutions through the DFRNT Studio product. The Twinfox and DFRNT Studio product suites enables business professionals to replace current manual error-prone information processing with spreadsheet software for financial planning and analysis, with effective and efficient processes where quality control is built into the information toolchain, enabling business professionals to achieve high quality results significantly faster, better and cheaper than today.

PharosBio is building an autonomous AI scientist—a platform and APIs that help biopharma and research teams reduce R&D risk by turning fragmented evidence into decisions across discovery and translation. The problem Despite billions spent on R&D, the research ecosystem runs on incomplete, siloed insight. Around 90% of drug candidates still fail in the clinic, wasting time and capital and delaying therapies for patients. This affects 4.5 million scientists across pharma, biotech, and academia who must constantly decide what to study, why it matters, and whether to proceed—with evidence that’s scattered and stale. Our solution We’re building the first agentic AI built for life sciences: a system that plans, reads, reasons, and writes like a tireless collaborator, and plugs into existing workflows via APIs. What it does • Target discovery & repurposing: surfaces novel targets and repositioning opportunities from literature and data; ranks by mechanism and evidence strength. • Translational go/no-go: aggregates preclinical and clinical signals to support milestone decisions with transparent rationales. • Scientific writing copilot: drafts systematic reviews, grant sections, IND-supporting summaries, and patent landscape briefs with citations. How it fits • Platform + APIs integrate with existing tools and pipelines. • Evidence-first UX: every recommendation is linked to sources; uncertainty is quantified. • Autonomy with control: agents run end-to-end tasks, while scientists supervise, edit, and approve. Outcomes • Faster time to insight, • Fewer dead-ends, • Higher confidence at each stage from early discovery to translation. Our motivation We’re expats who fell in love with Denmark’s research culture and collaborative ecosystem. We started PharosBio because agentic AI is powerful but under-applied where it matters most—healthcare, research, and biotech. Watching promising ideas stall for lack of clear evidence lit the spark: we want to equip every scientist with an always-on partner, so more therapies reach patients - us and our loved ones!

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.

Luminik is the event pipeline platform for B2B marketing and RevOps teams using Salesforce or HubSpot. When an attendee list, booth notes and follow-up live in separate tools, the event marketer has to piece together what happened and which opportunities came from the event. Luminik connects that work from event preparation through CRM attribution. Teams use Luminik to source attendee lists, enrich contact and company details through the vendors they already use, score attendees against their ideal customer profile, and prepare event-specific outreach. On the event floor, reps capture contacts and conversation notes. After the event, teams review follow-up and sourced and influenced pipeline using their CRM data. We are building Luminik for teams with pipeline targets for conferences and trade shows. Our focus is helping marketing and sales work from the same event context, with Salesforce or HubSpot remaining the system of record.

Messuille Oy is an event company based in Helsinki Finland. We are sales reps for Messe Berlin GmbH which is among the top 10 largest event companies in Europe. We also plan and design exhibition booths for events taking place in Europe and in Asia. We are a small team of 4 people and hire freelance graphicians and booth builders for cases.

NoCFO is a fast-growing startup transforming how small businesses handle their finances. We combine powerful automation with an easy-to-use platform that replaces manual bookkeeping and removes financial stress from entrepreneurs. With support from Holvi and strong momentum across Finland, we’re on a mission to build the most automated financial platform in Europe. Join us and help shape the future of how businesses run their finances.

Valma.ai is a versatile AI-powered SaaS platform to help businesses actually become highly productive with Artificial Intelligens. We are a Norwegian startup with global reach, offering both a no-code/low-code solution for non-technical SMBs and a robust API and SDK for developers, enabling businesses of all sizes and technical capabilities to harness the power of AI. Valma.ai is addressing the challenge of AI underutilization in businesses, spanning from small and medium-sized enterprises (SMBs) to large corporations with in-house development teams. This issue affects companies across various industries, particularly in the Scandinavian market, but is rapidly gaining global recognition. For non-technical SMBs, the problem lies in the complexity and inaccessibility of many AI solutions, which often require specialized knowledge to implement and use effectively. These businesses struggle to leverage AI to enhance their productivity and competitiveness due to limited resources and technical expertise. On the other hand, companies with strong technical capabilities face a different challenge. While they have the skills to implement AI solutions, they often lack a flexible, scalable platform that allows them to quickly develop and deploy custom AI-powered applications tailored to their specific needs. Valma.ai recognizes that the need for AI-driven productivity spans across the spectrum of technical capabilities, from marketing agencies needing simple automation to tech companies requiring advanced AI integration. Our platform is designed to bridge this gap, offering solutions for both ends of the technical spectrum. Valma.ai solves these problems by offering a dual-approach platform: For non-technical users and SMBs: A user-friendly, no-code/low-code interface that allows easy creation and management of AI-powered workflows Pre-built AI variants (Chatbot, Agent, and Workflow) that can be easily customized and deployed Simple integration options, including a chat window that can be easily added to websites White-labeling capabilities for brand customization For developers and technically advanced users: A robust API that allows deep integration of Valma.ai's AI capabilities into existing systems and applications An SDK for building custom solutions and extending the platform's functionality Advanced features like custom annotations to override language models for precise outputs Flexible data management, including the ability to edit uploaded/stored data directly in a vector database Common features for all users: - Multiple AI variants that can be combined for complex problem-solving - Integration capabilities with both internal and external tools - Long-term memory for storing and retrieving important information - Collaboration features for team-based workflow creation - Voice-to-text and text-to-voice capabilities - Built-in security features and GDPR compliance This comprehensive solution allows businesses of all sizes and technical capabilities to leverage AI effectively, whether they're looking for out-of-the-box solutions or want to build custom, AI-powered applications. By providing both no-code options and developer tools, Valma.ai ensures that companies can start small and scale their AI usage as their needs and capabilities grow.

SAHA is developing a software and a mobile app to help athletes to optimize their training to reach their full potential through fully personalized training experience. There are millions and millions of athletes around the world but only very few coaches - not to mention the small amount of coaches training professional athletes. Each coach can coach personally only few athletes at a time. We are helping all athletes to access top level coaches - coaches of professional athletes to unlock every athlete's true potential true fully personalized training experience. With SAHA app every athlete can get an access to top level coaches to get optimized training through personalized training based on athlete's personal data, needs, wants and analysis. We are former professional athletes coaching current professional athletes from Olympic gold medalists to World Champions. We saw the need for more personalized coaching and realized the power of personalized training. No more one size fits for all. We want to create the best possible coaching for every single athlete so every athlete can optimize their training and unlock their true potential around the world.

Elvy is building the energy company that should have existed already. We design, finance, install, and operate distributed energy systems that cut costs, slash emissions, and actually work in the real world. No hype. No science projects. Just infrastructure that turns buildings into energy assets and makes clean power a clear economic win. We move fast, take ownership end to end, and obsess over execution. If you like solving hard, physical problems with real consequences and you want your work to matter at grid scale, you will feel at home here.

AirDodge is a Norwegian company with an HQ in Oslo, Norway. We are building an automated air traffic management system(termed as U-Space software) to enable scalable drone operations. Our target end customers will be drone operators. U-Space solves the problem for all drone operators by making it much easier to obtain permissions. It enables large scale Beyond Visual Line of Sight (BVLOS) operations whereof today this is too costly for most companies. It also makes it safer for manned aviation such as emergency helicopters that will have full visibility of ongoing drone flights in the area they are approaching. Other drone operators such as police, search and rescue will be able to quickly deploy drones opposed to wait for helicopters to arrive. They may also mandate quick clearing of drones from any given area in case such operations must take place. Our solution is to build our own software platform and provide flight services according to the EASA framework recently published. These services will be legally required and the 4 primary services are defined by: 1) Drone Identification: This service will be focused on providing information on all the live drone traffic in U-Space to all participants (operators in the air). 2) Live Air Traffic Identification: This service will be focused on providing information on all the live manned air traffic in U-Space. All manned air traffic has to make themselves electronically visible if flying in U-Space. If a manned aircraft flies too close to a drone, then the drone pilot/operator will receive a warning message. 3) Geo-Zones: These are the core geographical definitions of airspaces on map where drone operators can see where they can or cannot fly. Examples of restricted airspaces include airports, military bases, prisons, bird sanctuaries, obstacles etc. Having an extensive dataset which displays all the possible flight restriction/warning zones is significantly important to drone operators as it ensures compliance and more efficient flight planning. 4) Flight Authorization: This gives drone operators the ability to ensure their flight path does not intersect/conflict with any other operators conducting drone flights in the same airspace. The flight authorization will require drone pilots to submit their flight path in 4 dimensions which include 3D trajectory and time. Flight authorization will also allow drone pilots to communicate with Air Traffic control to request a drone flight in restricted airspace. The response times for both types of requests will be instant. AirDodge was originally founded by Umar in 2022 in Sweden. A year later he moved the company to Norway where he met Serhii in 2024 and then they built the company together. Umar, as the founder of Skyqraft—a company specializing in drone-based powerline inspection—gained firsthand experience with the challenges of commercial drone flying while leading its operations. His deep industry knowledge, combined with Serhii’s technological expertise, laid the foundation for AirDodge. Together, they are building innovative solutions to streamline drone operations, making them safer, more efficient, and seamlessly integrated into regulatory frameworks. We are backed by Antler, Nordic Makers and also received grant funding from Innovation Norway.

ARIS Robotics was founded by a shared vision: to steer the world towards a greener future. One of the critical challenges in the green transition is how we manage our resources and waste. Today’s processes are highly linear: raw materials are extracted, processed into products, used a few times, and then discarded—either incinerated or buried in landfills. We aim to change that. At ARIS, our ultimate goal is to create a world without waste. This means transforming linear processes into circular ones. The first step towards effective recycling is good sorting. We develop scalable and automated solutions using deep learning to recognize and sort waste efficiently. Currently, we are serving our beachhead market—public recycling centers. Here, we assist visitors in correctly sorting their waste, extending the lifespan of materials and reducing the need to extract more raw materials from our limited planet. We are always on the lookout for passionate individuals to join our mission. Keep an eye on our open positions, follow us on LinkedIn, or feel free to send us a motivated application. Let’s create a greener future together!