Addy: The Invisible Marketing DepartmentThe Vision: From SaaS Tools to Agentic Results We are building the Frictionless OS for the 15M service SMEs in the EU who didn't start a business to become marketers. Our vision is to move the market from complex tools to "Invisible Brains". We envision a future where a business owner sends a video and Addy handles the rest—allocating budgets across Meta, Google, and TikTok to turn content into confirmed bookings.The Problem: The Digital Friction Crisis Local businesses are trapped in the Organic Mirage (posting for

Om House of Leap I Januar 2023 stiftede Christian Mailind og Victor Prager House of Leap. House of Leap består af 3 ben. LeapMarketers, LeapSystems og LeapAI. I LeapAI hjælper vi traditionelle virksomheder med at automatisere manuelle processer og effektivisere interne arbejdsopgaver med hjælp fra AI. I LeapSystems rådgiver vi andre virksomheder hvordan de skal forbedre deres markedsførings indsats og salgs processer. I LeapMarketers hjælper vi ambitiøse virksomheder og content creators med at vokse igennem datadrevet digital markedsføring og salg på sociale medier. Vores kundeporteføjle er inden for e-commerce, fitness, coaching og content creation i markeder som Danmark, UK, USA, Sverige og mere.

We have invented a device that can deliver boiling water on any water tap just by turning on the water 3 times. We produce the device - a Boilr - ourselves and have a workshop in Copenhagen., Denmark. We have applied for a patent on the idea and, have all relevant approvals and have started selling the unit. Now we ware in early stages of a Marketing push and wants to explore the many ways.

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).

Fimento is an AI-native platform that brings clarity to complexity in financial decision-making. It helps businesses make smarter, faster decisions through AI-driven insights by combining advanced analytics, automation, and deep industry knowledge to turn complex data into clear, actionable outcomes that drive growth and efficiency.

Tid is a watch startup challenging the assumption that products should be designed for a single, default body and identity. Most watches are built around narrow aesthetic and ergonomic norms, leaving many people adapting themselves to the object rather than the other way around. We design unconventional, modular timepieces that prioritize fit, expression, and personal meaning over tradition. The problem we solve is not accuracy of timekeeping, but relevance: creating objects that reflect diverse bodies, lives, and ways of being in the world.

Gennem platformene MineTilbud, Dayli og Publisher understøttes formidling af tilbud, inspiration og produkter på tværs af digitale kanaler og fysiske butikker. Løsningerne giver lokale butikker, kæder og brands, store som små, mulighed for at være synlige og relevante gennem hele kunderejsen, fra den første inspiration til det endelige køb. For forbrugerne skabes et enkelt, visuelt overblik over relevante tilbud, inspiration og aktuelle produkter i medieplatformene MineTilbud og Dayli. For virksomhederne giver Publisher platformen fuld kontrol over indhold, visning og timing – og ikke mindst lavere adgangsbarrierer og større gennemsigtighed i forhold til digital annoncering.

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.

At our core, we deliver Autonomous Insights through two flagship products: earli AI and Syncast. Our mission is simple - remove the friction, guesswork, and manual effort that have historically held organizations back from preventing risks and performance loss in real time. earli AI is the world’s first autonomous people-risk intelligence platform for Group Life, Disability, and Health carriers. We enable carriers to access, detect, and act on emerging risks long before they materialize - without surveys, manual inputs, or integrations. By combining AI-driven profiling with continuous real-time signals, earli AI provides the industry’s first truly proactive, accurate measure of preventable risk. The result is earlier intervention, better outcomes, and a fundamentally more resilient book of business. Syncast is the first fully automated, AI-native sales insight engine. It listens, learns, and dynamically captures every pipeline shift, deal movement, and team interaction - all without a single CRM entry. Sales reps save countless hours, leaders gain unprecedented visibility, and teams operate on clean, complete, real-time data that was never possible before. With Syncast, the focus moves from administrative work to winning work. Together, earli AI and Syncast redefine how organizations understand people, performance, and risk - autonomously, intelligently, and effortlessly.

Ludenso is a Norway-born team of playful builders redefining how students learn. Partnering with leading global publishers, like Cambridge University Press, Karger, Gyldendal, and Springer Nature, we deliver safe, trusted AI grounded in textbooks. As generic AI spreads misinformation and risks learning outcomes, we aim to set the global standard for trusted, engaging, and safe educational technology.

Only 7.9% of new medicin is approved for phase 1 clinical programs - life saving cures are being scrapped because of poor reproducibility. Today, researchers designing complex in vitro and in vivo experiments jump between many tools that do not talk to each other. Protocols are written in free text, naming is inconsistent, raw data is scattered across drives, and inventory and cell banks are tracked separately. This makes it hard to reproduce experiments, compare results across projects, trace which cell material went into which batch, and satisfy regulatory expectations. Small and mid-sized labs often cannot afford enterprise platforms like Benchling or Dotmatics, so they manually glue everything together and rarely get to use advanced analytics or AI. BioPilot solves this by standardising the full early-to-in-vivo CTR pipeline in one product. Users can register and template in vitro experiments (differentiation, expansion, cryopreservation, device testing, etc.) and in vivo studies (animals, groups, dosing, housing, ethics documents) using fixed ontologies. This gives every experiment a structured schema and a precise schedule of readouts, barcodes and data types to collect. Raw data (FACS, scRNA-seq, imaging, counters, bioreactor logs, etc.) is then automatically linked back to the right experiment, condition and sample. On top of this, BioPilot offers: • Inventory and cell bank tracking that makes it trivial to trace which vial, edit or expansion batch was used where. • Live bioreactor monitoring with alarms (email / phone) to prevent losing expensive batches. • A growing library of free analytical tools, including automated FACS gating, scRNA-seq pipelines and image analysis that can feed results straight back into the experiment records. • A global ontology service for vendors, instruments, cell lines, species and process terms, with a roadmap for a public API. Because everything is structured and queryable, BioPilot makes it much easier to compare experiments, run Bayesian optimisation on process parameters, and let AI suggest next-step experiments. The pricing is kept aggressively low (free tier plus a simple paid tier based on storage), so smaller biotech and academic groups can access capabilities that are normally reserved for organisations with large software budgets. In short, BioPilot aims to become the operating system for cell therapy R&D: a single, affordable platform where experiments are planned, executed, monitored and analysed in a way that is standardised enough for automation and flexible enough for real-world biology.

Multi-carrier shipping software Aigol is a multi-carrier transportation management solution designed for the needs of road freight and parcel shipping. The platform supports the full shipment lifecycle, including booking, label and document generation, consolidation, and end-to-end tracking. By centralizing connections to multiple carriers in a single system, Aigol provides operational flexibility and ensures consistent handling of shipments across different logistics partners. Automation capabilities reduce manual work, enhance planning efficiency, and improve cost control. Aigol enables organizations to manage their logistics processes with reliability, transparency, and scalability.

Hairplant is helping men regain their confidence through safe, transparent, and high-quality hair transplant journeys. We guide clients from consultation to procedure and long-term follow-up, creating an honest, educational, and inspiring experience that breaks the stigma around hair loss. Our mission is to make the hair transplant journey simple, trustworthy, and something to be proud of.

Tapp is developing a software-only POS suite—tap-on-phone payments, eshop self-order, Native AI data platforms, and AI-assisted menu/setup - to help small UK service businesses ditch expensive hardware POS, solve slow service and rising operating costs, and stay compliant by default, powered by our ultra-fast UX, AI onboarding, leading AI features, and embedded payments. Independent cafés, massage parlors, and any other service spots are squeezed by hardware terminals, clunky back-office flows, and staffing shortages—which translates to slower turnover, longer queues, and lost revenue. Operators also face VAT/receipt/tips complexity and card-data obligations that traditional POS doesn’t simplify. The market is crowded, but legacy and “one-size-fits-all” tools still mean slow UI, multi-minute setup, and rigid pricing. Our analysis of UK-relevant providers shows many still require dedicated hardware or fragmented QR solutions—creating cost, training, and integration friction for small teams. Whilst providing insights on all the data collected, without the user having to ask. Tapp replaces boxes and paper with a phone-first POS: - Tap-to-Pay on iPhone & Android: take contactless cards/Wallets directly on staff or owner smartphones—no reader required. Fully productised in our “Staff” flow. - QR self-order, eshop & pay: guests scan, order, tip, and receive receipts digitally; staff stay focused on giving the best service, not card machines. - AI onboarding & menu import: snap a menu or upload a file; Tapp auto-parses categories/items, generates a store description, and lets owners tweak with guardrails (VAT, pricing, tags, duration). - Built-in compliance for UK SMBs: support for e-receipts, VAT invoice scenarios, and transparent tip/service handling—plus card-data best-practice via our payments stack. - Embedded payments on Adyen: unified acquiring, wallet rails, refunds/chargebacks, payouts, and potential embedded finance/share—with clear IC++ economics and SoftPOS fees. - Elite performance: our internal tests show UX runs 2.7× faster LCP and 3.3× less blocking than a leading competitor—keeping staff in “flow” during rush. Why this wins: zero hardware CAPEX, minutes-not-weeks deployment, faster service cycles, and fewer receipt/VAT/tips headaches—all in a single app the team already knows how to use (their phone). Feature depth is production-ready across signup/KYC, menu, staff, orders, payout views, and refunds per our shipped user stories. Whilst (soon) providing industry-breaking intelligence to make the small merchants play in the big leagues. We started Tapp after watching small venues spend too much on terminals and too long wrestling slow software—only to still miss orders at peak. We dug into the UK compliance tangle (VAT, receipts, tips) and saw a chance to bake the rules into the workflow, not bolt them on. Then we validated the experience with hard performance data and a best-in-class payments partner so owners can serve more customers with less kit and less stress. That’s why we’re doing this: give time back to small operators with a POS that is fast, compliant, and delightfully simple.

We’re a community organisation aiming to build a world-class startup ecosystem in Aarhus backed by amazing stakeholders such as Aarhus University, Business Academy Aarhus, VIA University, The City Council of Aarhus, and Region Midtjylland. At Startup Aarhus we initiate programs and activities, that help solve our founder’s biggest challenges. Whether it’s securing funding, building networks, or gaining insights, we’re here to help you move forward, and make it easier for startups to change the world.