Bikematch.dk is a platform where you can get the overview and find offers on bikes from your local bikeshop.On the other side we have made a dedicated online system called Bikedata.dk for bike dealers, that enables them to manage and update all of their online platforms from one place. The system features a build in database with bikes which can be integrated with their current webpage, facebook and other marketing platforms.Our vision is to be The best online system for bike dealers globally.

Leadgrid er et kartbasert CRM-system for norske bedrifter som selger lokalt og ute hos kunden. Vi kobler data fra Brønnøysundregistrene med et kart, så selgere ser hvilke bedrifter som finnes i området sitt, og kan samle leads, møter og oppfølging i én pipeline. Kunden kan booke møter selv via møtelenker, og dagsruten samler dagens besøk i én plan. Leadgrid finnes på web, iPhone og iPad, og data lagres i EU/EØS. Vi lager Leadgrid for små og mellomstore B2B-bedrifter, håndverkere, regnskapsbyråer og salgsteam med feltsalg. Én selger kan bruke Leadgrid gratis med Solo Free.

About Meat City Music Club (MCMC) Meat City Music Club (MCMC) is building a new kind of cultural hub in Copenhagen, bringing together music, hospitality and community through the concept of a vinyl listening bar. Based in Kødbyen, MCMC creates a space where music is more than background noise. In a world increasingly shaped by digital playlists, algorithms and fast-paced experiences, we want to bring people closer to music through intentional listening, vinyl culture and shared experiences. Our concept combines carefully curated music, vinyl DJs, quality drinks and a welcoming atmosphere. Through themed music nights, collaborations with DJs and record collectors, and community-driven events, we give people the opportunity to discover new sounds, connect with others and experience music in a more engaging way. MCMC was born out of a passion for music and the belief that there is room for more meaningful, social music experiences. We want to create a place where culture and hospitality meet, bringing together people who share a curiosity for music and a desire to be part of something different. As an early-stage startup, we’re building MCMC from the ground up, developing the concept, growing our community and exploring new ways to bring music and people together. We’re excited about the journey ahead and the opportunity to build something distinctive in Copenhagen’s cultural scene.

Propvision is building the AI sidekick for Danish landlords. When a tenant moves out, most landlords face hours of photo editing, listing writing and copy-pasting across portals. We turn that into a few clicks. Our secret sauce: one platform that brightens and furnishes photos, writes the listing, and gets it out everywhere in minutes, built by people who have spent 20+ years in the rental trenches. Every day a rental home sits vacant, the landlord loses money. You'd think filling it would be quick. It isn't. A tenant gives notice, and the landlord's to-do list explodes. Take photos (usually of dark, empty rooms nobody can picture living in). Write a listing from scratch. Type the same details into one portal, then another, then the website, then Facebook. Repeat for the next vacancy, and the next. It's slow, it's boring, and it's expensive. Many landlords pay assistants or agencies just to keep up. Meanwhile the home sits empty and the rent doesn't come in. This happens to every landlord in Denmark, from the guy with three apartments to housing associations with thousands, every time someone moves out. We took the whole re-letting marketing mess and put it in one place. Upload your photos, and our AI brightens the dark ones in seconds and furnishes the empty rooms, so tenants see a home instead of four white walls. Add a floor plan and a few details, like the nearby school or bus stop, and Propvision writes the listing and the social posts before your coffee is done. Then one click publishes to Denmark's largest rental portals, schedules posts on Facebook and Instagram, and updates the listing viewer on your own website. Interested tenants submit their details through a secure link. Because we integrate with the admin systems landlords already use, nobody types the same thing twice. And it's working. More than 50 customers, including Himmerland Boligforening, Viva Bolig and Bolig Kronjylland, use Propvision to manage a combined portfolio of 20,000–25,000 homes. Not bad for something that started as a side project. We're just getting started. We're doing this because we've lived the problem. We know what an empty apartment costs, and we know how mind-numbing the manual work is. Our goal is simple: make re-letting fast, easy and maybe even a little fun, for landlords and tenants alike.

Teams that receive engineering drawings — owner's representatives, technical managers, building and asset operators, consultants — are expected to review and comment on them without owning CAD software or knowing how to use it. In practice the review happens across email threads, marked-up printouts and ad-hoc spreadsheets, and by the third revision nobody can say which comments were answered and which were quietly dropped. Xenmark is a browser-based drawing review tool built for that side of the table. Reviewers mark up PDF drawings directly in the browser — no CAD, no per-seat licences for occasional reviewers, no training. Every revision produces the same two documents: a comment plan PDF showing each comment at its marked position on the drawing, and a comment list Excel recording every comment, its status and its response. Closed projects export as a complete archive bundle. The point is not to replace anyone's design tools. It is to make the review cycle traceable from first submission to final close-out, so the record of what was asked and what was answered outlives the project. Xenmark AS is a Norwegian company with a free tier and paid plans at €14.99 and €59.99 per month.

Telos is building the shared truth layer for engineering companies in the age of AI agents: one place where the vision, the objectives, the work and the customer evidence live together, so that humans agree on what's worth doing and every agent they run builds from that same agreement. The problem Execution used to be the hard part of building software. It isn't anymore. Agents write the code, run the playbooks, learn how your company works and get better every week. The thing they can't do is agree, with each other or with you, on what's worth doing, why, who owns it, and whether it happened. That agreement used to be free. At five people you're in one room and everyone knows why they're there. Somewhere between ten and twenty people it starts to cracks. By fifty it's broken. The strategy lives inside a founder's head or a slide deck nobody opens, the work lives in Linear or Jira, the customer evidence lives in Slack threads that scroll away, and the ROI lives in a CFO's spreadsheet. Engineers ship without knowing why. Leadership can't see where the effort actually goes. Everyone is busy and nobody is sure they're busy on the right thing. Agents make this worse, not better. A fifteen-person company running always-on agents makes decisions at the pace a hundred-person company used to. Drift tracks decision volume, not headcount. Every engineering org of 20 to 200 people has this problem. Most of them have already bought a tool for strategy, a tool for execution and a tool for reporting, and none of the three talk to each other. The solution Telos is where agreement lives. One vision at the top of the company. Every objective, opportunity and task traces back to it. Every piece of customer evidence, from Slack, Teams, Intercom, GitHub, Linear or Notion, sits next to the work it informs. Humans ratify intent: the vision, the objectives, the go and the no-go. Agents read the same record, write their work into it, and propose changes where everyone can see the diff. Concretely, that means: - Leadership opens Telos and sees where the company's effort is going, what it costs, and how it maps to the vision. No slide deck, no quarterly reconstruction. - An engineer opens a task and the reason it exists is one click away, with the customer conversations that led to it. - An AI referee, grounded in the company's own vision and evidence, challenges every proposal. Does this advance where we're going? Is there customer evidence, or is it the loudest voice in the room? It informs, it never decides. - Every agent the company runs grounds itself in Telos through the API, so its work lands in the shared record under the company's rules instead of in a private memory nobody can audit. Customers bring their own LLM. Telos doesn't own the model, it owns the record. Why Because alignment is the constraint now. The tools that exist treat AI as a way to build more, faster. Faster in the wrong direction is the most expensive thing a company can do, and it's about to get much cheaper to do it.

Greatwill is Finnish consolidation software built for preparing consolidated financial statements under the Finnish Accounting Act (FAS, Finnish GAAP). It breaks the consolidation down into group events: each event is a short form, and the elimination entries, reconciliations and the consolidation worksheet are generated from the data entered in the forms. There is a form for every group event: founding and acquiring a subsidiary, intra-group income, expenses, receivables and payables, unrealised margins in inventory and fixed assets, intra-group dividends, translation differences of foreign subsidiaries, minority interests, the transfer of depreciation differences and tax-based reserves to equity and deferred tax, equity-method accounting for associates, and the sale or merger of a subsidiary. Each form asks only for what matters; exchange rates, tax effects and minority shares are handled automatically. The subsidiaries' own bookkeeping stays untouched. Each company prepares its financial statements in its own accounting software, and the finished statements are imported into Greatwill as files. They are mapped automatically to the FAS group chart of accounts, and accounts marked as intra-group are eliminated directly from the imported figures. A form filled in once carries over to the following financial years: goodwill amortisation, the unwinding of purchase price allocations and recurring eliminations are generated automatically for later periods. Reconciliation statements reveal forgotten or incorrectly filled forms, and every elimination entry can be traced back to the form it came from. The consolidation worksheet, the financial statements and the general journal and ledger are downloaded as Excel files, and auditors can be given read-only access directly in the system. Pricing is based on a base fee plus the forms the group needs, not on user counts or revenue. Data is stored in the EU. Greatwill Oy was founded in 2024 and is based in Helsinki, Finland.

Flowbase.io – Automate ads and creative content At Flowbase, we believe good marketing shouldn’t drown in manual work and scattered tools. Too many teams waste time on repetitive tasks, coordination, and approvals – instead of focusing on what truly creates value: creativity and growth. Flowbase brings everything together in one place. It’s a platform that makes it easy to create, design, and publish ads and campaigns – without jumping between systems. With Flowbase, you can: Automatically generate ads, videos, and copy from your products or listings Collaborate directly in the platform with simple feedback and approval flows Publish campaigns to Meta, Google, TikTok, and LinkedIn in minutes Track performance and results in real time We help brands and agencies work faster, more efficiently, and more creatively. The goal is simple: less administration, more marketing. Flowbase.io – Where marketing flows naturally.

Vision: Automated industrial trade Today it takes far too long for industry to find and buy new technology. It’s manual and it runs on personal networks. Dodigate makes it automatic. You describe what you need, we match it to the right technology, and everything from there, intro, pilot, deal, integration happens in one place. The goal is that adopting new industrial tech should be as fast as any digital transaction. Background: Nordic manufacturers know they need to automate, instrument, and optimize, but finding the right provider of technology is slow and risky. They lack the time to scan a fragmented supplier landscape, the technical depth to separate real capability from a good pitch, and a low-cost way to test a solution before committing budget. On the other side, strong early-stage tech companies struggle to reach industrial buyers, understand plant realities, and land the reference customers that unlock their next stage of growth. The two sides rarely meet on terms that work for either of them. DODi closes that gap with curated, structured matchmaking rather than an open directory. Product: The result is a platform that makes industrial modernization approachable. Manufacturers get a trusted, low-risk way to discover and test new technology without the search cost or the guesswork. Emerging tech companies get warm, qualified access to serious industrial buyers and the reference customers they need to grow. DODi sits in the middle as the layer of trust, curation, and industrial judgment that turns a promising match into a working deployment.

Digital Ops ApS is building an autonomous AI platform that acts as a company's digital grant manager, automating the full lifecycle of public and private grant applications from identifying relevant funding opportunities to preparing and submitting applications, to project management, documentation, and reporting afterward. The problem we're solving is that grant applications today are a heavy, manual, and time-consuming process. This pulls focus away from a company's core business, which is why many businesses either outsource the work to expensive consultants or skip applying altogether, missing out on substantial funding that could support their growth. We're solving this because we believe access to funding shouldn't depend on having the time or budget for consultants; small and medium-sized enterprises deserve the same professional-grade funding management that larger companies can afford. Our platform is already in its first working version and being tested with real companies. Since our founding, we've built strong in-house expertise in software development, AI, and automation, giving us a solid foundation to scale this into a SaaS platform with international potential.

Victoriny Records is an independent music company focused on developing and growing modern electronic artists through a combination of strong creative direction, data-driven marketing and direct fan engagement. We are solving a common problem for independent artists: great music often struggles to reach the right audience because marketing is fragmented, expensive and too dependent on platform algorithms. Our goal is to build a more connected system around each release, combining smart digital campaigns, content, streaming strategy and owned fan relationships so artists can turn listeners into long-term supporters and build sustainable careers.

StuderaHP is a modern digital learning platform built to make preparation for the Swedish Scholastic Aptitude Test (Högskoleprovet) more effective and accessible. Preparing for Högskoleprovet can be overwhelming. Students need to understand several different test sections, identify their weaknesses, practice consistently, and know where to focus their time in order to improve. StuderaHP brings the entire preparation journey into one intuitive platform. Students can practice for different parts of the test, develop their skills over time, and prepare in a more structured and efficient way. Accessibility is an important part of what we are building. StuderaHP offers a completely free plan, allowing anyone to start preparing regardless of their financial situation. Our goal is to build the best way to prepare for Högskoleprovet and help more students reach the scores they need to access the education and opportunities they are aiming for.

Ibex is building the future of mental fitness. We're developing a research-informed platform that combines psychology, behavioural science and physiological data to help people proactively strengthen their mental wellbeing through personalised, actionable guidance.
 We believe taking care of our minds deserves the same evolution that taking care of our bodies has already undergone. Today, if you want to improve your physical health, you have access to coaches, training plans, wearables and decades of research translated into practical tools that help you build strength, resilience and long-term wellbeing. Mental health, despite being just as fundamental to how we live, work and thrive, is still largely approached reactively. Clinical care is essential, but for most people there is little support between treating illness and generic wellbeing content.
 We see an opportunity to help change that.
 Advances in wearable technology, behavioural science and AI are making it possible to personalise mental health support in ways that simply weren't practical a few years ago. Technology has become remarkably good at measuring us. Wearables can tell us how we slept, how we recovered and how our bodies responded to stress - but measurements alone rarely lead to better mental health.
 Most people already know that sleep, movement, relationships, recovery and stress all matter. The challenge isn't awareness, it's understanding how these factors interact for each individual and turning that understanding into sustainable action.
 Our ambition is to build a system that turns research and personal data into practical, personalised guidance. Rather than giving everyone the same meditation, journal prompt or breathing exercise, we're building an experience that learns about the individual over time and helps people understand what supports their mental wellbeing, then guides them towards small, meaningful actions that strengthen it over time. Just as no good coach would give every athlete the same training plan, we don't believe everyone should receive the same advice.
 The long-term vision is to make taking care of your mind as practical, personalised and accessible as taking care of your body.
 I founded Ibex after spending years working with people, leadership and organisational development and repeatedly seeing the same pattern: people often recognised the signals only once they had become difficult to ignore. 

At the same time, I saw incredible research, talented clinicians and coaches, and rapidly advancing technology, but very little that brought these worlds together in a practical way for everyday life.
 That question; what if we approached mental fitness more like physical fitness? - became the starting point for Ibex.
 Since then, we've developed an early prototype, completed our first pilot, and are continuing to learn where the product creates value, where it needs to improve, and what we need to build next. We're still early in the journey, but we believe mental fitness deserves the same evolution that physical fitness has already undergone, and we're excited to help shape what comes next.
 If you believe the future of mental health is proactive, personalised and built around helping people thrive, not just treating illness - we'd love to connect.

Regnskab med en fast person bag tallene Bag Radius Regnskab står Karsten Ravnsgaard. Som Revisor HD(R) hjælper jeg selvstændige og mindre virksomheder med bogføring, moms, årsregnskab og økonomisk overblik — uden at gøre regnskab mere kompliceret end nødvendigt. For mig handler godt regnskab ikke kun om bilag, frister og systemer. Det handler om, at du forstår dine tal, kender dine rammer og har en samarbejdspartner, der kan forklare tingene i et sprog, der er til at bruge i hverdagen. Radius Regnskab er bygget til virksomheder, der gerne vil have faste priser, tydelige aftaler og digitalt samarbejde — men stadig med personlig kontakt og praktisk rådgivning

AnankeLabs is developing KAIROS Substrate, a real-time deterministic safety engine, to help organizations operating AI, cybersecurity, and autonomous systems solve structural exposure to novel, zero-day threats with a proactive physics engine that mathematically calculates exact breaking points before execution. We are tackling the fundamental failure of reactive, probabilistic defenses. Today, AI, cybersecurity, and robotics rely on known historical data—like threat signatures or mapped environments—to predict safety. This creates a permanent, widespread synchronization lag across modern infrastructure, leaving systems structurally exposed to novel, zero-day catastrophes and unpredictable "distribution shifts." This problem deeply affects operators across multiple high-stakes domains: AI Safety: Operators rely on post-generation statistical classifiers, forcing them to anticipate every adversarial path. This leaves systems highly exposed between vulnerability discovery and classifier updates. Cybersecurity: Current defenses depend on pattern-matching that requires a known signature. This creates a dangerous reality where defenders are forced to absorb the initial zero-day breach just to extract the signature needed to stop future attacks. Robotics: Systems use neural policies optimized for statistical averages. When encountering novel environments, they lack a physical safety substrate, resulting in hardware executing a "software hallucination at full mechanical torque" and causing kinetic collisions. AnankeLabs is creating an entirely new category of safety by shifting away from guessing if an action is safe based on past data, and moving toward a deterministic engine built on first principles. We built KAIROS Substrate, a real-time safety physics engine that acts as an automatic brake. Instead of relying on pattern-matching, it evaluates actions before execution, instantly detecting and blocking structurally unsound actions across AI, cyber, and robotics by calculating exact mathematical breaking points. Crucially, we made auditability a structural property of the engine itself. Because KAIROS is perfectly deterministic (identical inputs produce identical outputs at ε=10⁻⁶), it automatically generates an immutable, byte-identically replayable trace of every gate decision as a side effect. This eliminates subjective incident reporting and natively satisfies strict regulatory regimes like the EU AI Act, Machinery Regulation 2023/1230, DORA, and NIS2. The spark that fired our mission was the realization that relying on statistics to secure critical infrastructure is a dead-end. Watching security teams permanently synchronize their defenses to yesterday's attack surface highlighted an unacceptable structural flaw in modern technology. We saw the same unacceptable risks in autonomous systems, where a simple distribution shift could cause heavy machinery to hallucinate and collide with its environment. We realized that true safety couldn't be bolted on as an afterthought or solved with better guesswork; it had to be deterministic and mathematical. We set out to build AnankeLabs because organizations deserve a proactive safeguard that prevents failures from unseen threats from the ground up, rather than just mitigating the damage after the fact.