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GOONTECH

After working together since 2012 in game development company Henchman & Goon, we launched Goontech in January 2015. Our background in game development has given us a ton of knowledge and a special mindset that we apply to our projects. We continue to look to the game industry for inspiration, techniques and technology, and bring this with us into other industries. Our vision is “Visualizing Great Ideas”, no matter what industry or format, and our mission is to make smarter and more user-friendly visualization solutions. Goontech is located in Bergen, Norway, in short distance from a growing entrepreneurial environment, and some of the biggest players in the oil and gas industry. We also have a small office in Oslo, Norway.

Symbolon

Symbolon is a PPA broker for the Nordic power market. We help developers of solar, wind and hybrid projects find a corporate buyer for their power through a long-term power purchase agreement (PPA), and we help buyers find the right project. Our brokerage is backed by our own tools: hour-by-hour matching of a project's production against a buyer's consumption, AI that reads a buyer's electricity bill to build a consumption profile, and a monthly price barometer with capture prices for all twelve Nordic bidding zones. Every engagement starts with a fixed-price PPA check, so a project owner knows what their power is worth to a buyer before negotiations begin.

Fikset

Fikset bygger fremtidens digitale infrastruktur for håndværkerbranchen. I dag er håndværkerbranchen splittet mellem telefoner, SMS'er, Facebook, lead-portaler, regneark, kalenderapps, økonomisystemer og forskellige CRM-systemer. På Fikset kan kunden finde en håndværker, beskrive en opgave, uploade billeder, få AI-hjælp til at forstå opgaven og få et realistisk prisniveau. Håndværkeren kan modtage relevante opgaver, sende tilbud, chatte med kunden og håndtere arbejdet gennem Fikset Pro. Samtidig bliver Fikset Pro stedet, hvor håndværkeren driver sin virksomhed. Leads, kunder, opgaver, kalender, tilbud, timer, materialer, fakturering, kvalitetssikring og kommunikation samles i ét system, med AI bygget ind i arbejdsgangene. Og når håndværkeren bruger Fikset til at håndtere en opgave, kommer kunden ind på platformen Jo flere håndværkere der bruger Fikset, jo flere kunder kommer ind. Jo flere kunder der er på platformen, jo flere opgaver opstår. Jo flere opgaver der er, jo mere attraktiv bliver platformen for håndværkere. Vi vil bygge det sted, hvor håndværkere og kunder mødes, hvor arbejdet bliver solgt, og hvor arbejdet bliver drevet fra start til slut. Hvis vi lykkes, bliver Fikset platformen, som en hel branche arbejder igennem.

Archi Systems AS

Archi Systems builds Archi Automate, the AI automation layer for architecture, engineering and construction. It connects Claude, GPT/Codex, Gemini or any MCP-capable AI assistant directly to the tools architects and engineers already use: Revit, Archicad, Rhino and Grasshopper, AutoCAD, SketchUp, Blender, QGIS, Tekla, Vectorworks, IFC/openBIM, Autodesk Forma and Autodesk Construction Cloud. The assistant reads live models, queries elements and parameters, and makes governed changes under a configurable execution mode (read-only, preview, or allow-changes) with every write audited. It validates IFC models against IDS specifications, runs clash detection, quantity take-off and embodied-carbon estimates, and can move entire projects between Autodesk hubs and regions, something Autodesk itself offers no service for. Since version 27.26, Archi Automate also renders AI imagery directly from a model view: a photographic or conceptual visualisation using the practice's own OpenAI, Black Forest Labs, fal.ai or Google account, with masks, multi-turn editing, print upscaling and a full provenance record (model, prompt, seed, cost) for every image. API keys are stored encrypted on the user's machine and are never shown to the AI assistant. One signed Windows installer connects every host application through a single desktop Hub. Architects get an AI assistant grounded in their real project data, not descriptions of it. Founded and built in Oslo, Norway.

CVBooster

CVBooster is a CV and resume builder made in Helsinki. It solves a specific problem: most people send the same generic CV to every job posting, and applicant tracking systems filter it out before a human ever reads it. The free tier is manual. You fill in your own details, pick one of the ATS-friendly templates and download the result, with no AI involved. The Pro tier ($16.99 per month or $99 per year) adds AI tailoring: you paste a job posting and CVBooster rewrites your summary and bullet points to match it, flags the keywords you are missing and keeps the layout clean so applicant tracking systems can parse it. CVBooster works in English, German, Finnish, French, Spanish and Portuguese. It ships 1,600+ role-specific resume examples and writing guides, a job feed, and an iOS app (App Store id6804955613). It is built and run by Mustafa Tarabya under DT Nova Tmi in Helsinki, founded in 2025.

Podcast Gratis

PodcastGratis.dk skal være stedet for folk at lytte til podcasts. Det skal altid være gratis at lytte - og det tilbyder vi sammen med en række fede funktioner. Lyt med her: https://podcastgratis.dk/. Vi er altid på jagt efter de næste features, der kan adskille os fra andre udbydere, så vi tilbyder vores brugere at foreslå ideer og vi lytter!

Gebashop

1. Short description (the pitch) Gebashop.no is an online store making authentic Korean skincare easier to buy in Norway through trusted products, fair prices, and fast local delivery. 2. The What Many people in Norway want to buy Korean skincare but face high prices, long shipping times, import fees, or concerns about authenticity. I want to make these products easier and safer to access. 3. The How Gebashop.no offers carefully selected Korean beauty brands from trusted suppliers, with clear product information, competitive prices, and reliable delivery. As the business grows, I plan to expand the product range and improve the customer experience with personalized recommendations. 4. The Why The idea came from my own experience. I found it difficult to buy authentic Korean skincare in Norway without paying extra fees or waiting weeks for delivery. I realized many others had the same problem, so I decided to create a local store that people can trust.

Verbu

Verbu er en danskudviklet AI-medarbejder der håndtere henvdelser på telefon og chat. Den tager imod opkald og henvendelser fra hjemmesiden, besvarer spørgsmål, afklarer kundens behov og sender informationen videre i en struktureret form. Samtidig kan den arbejde sammen med de systemer, virksomheden allerede bruger. I mange virksomheder er den første kundekontakt stadig afhængig af, at den rette medarbejder har tid til at tage telefonen eller svare i chatten. Det skaber afbrydelser i arbejdsdagen og betyder, at potentielle kunder kan gå tabt. Problemet findes både hos den mindre virksomhed, hvor ejeren står optaget hos en kunde, og i større kundeservice- og supportfunktioner, hvor mængden af henvendelser kan være svær at følge med til. Verbu hjælper med at sikre, at flere kunder får svar med det samme, også uden for normal åbningstid. Løsningen håndterer de spørgsmål og opgaver, den er sat op til, og sender henvendelsen videre til en medarbejder, når der er behov for menneskelig vurdering eller handling. Verbu kan håndtere mere end 32 sprog. Det gør løsningen relevant for virksomheder, der både betjener danske kunder og arbejder på tværs af lande og markeder. For større organisationer kobles Verbu sammen med eksisterende arbejdsgange gennem integrationer. Det betyder, at information fra en samtale eksempelvis kan sendes videre til CRM, booking, kundeservice eller andre interne systemer, uden at en medarbejder først skal skrive det hele ind manuelt. Løsningen er udviklet med fokus på GDPR og europæiske krav til databehandling. Formålet er ikke at fjerne mennesker fra kundekontakten. Verbu tager sig af de gentagne og tidskrævende henvendelser, så medarbejderne kan bruge deres tid på de opgaver, hvor deres erfaring og faglighed gør den største forskel. Verbu er allerede i brug hos danske virksomheder på tværs af brancher og lande. Mange virksomheder har digitaliseret økonomi, marketing, CRM og booking, men telefonen og chatten er stadig ofte manuelle og personafhængige. Det er den del af kunderejsen, Verbu er bygget til at forbedre.

Pattern Geographic

Pattern Geographic is building the future of real estate valuation. Commercial real estate represents a significant share of the economy, yet valuations are still largely performed through manual workflows, disconnected spreadsheets, and static reports. We are creating the digital valuer: an AI-ready platform that combines valuation, climate risk, sustainability, market intelligence, and urban analytics into a single system. Our mission is to make valuations more transparent, data-driven, and future-proof while helping investors, lenders, advisors, and property owners understand what truly drives long-term value. We believe the future of valuation is continuous, data-driven, and AI-assisted. We're building the platform that makes that possible.

Costile

Costile is an AI agent diagnostic proxy for teams building production AI workflows. As companies start using AI agents for support, research, coding, internal operations, and automation, they run into a new kind of infrastructure problem: the agent may technically work, but nobody knows when it is wasting money, looping, retrying badly, using the wrong model, or silently drifting outside expected cost behavior. Most teams can see their total AI bill after the fact. That is too late. What they need is operational visibility into which agent caused the spend, what pattern caused it, how severe it is, and what action should be taken. Costile sits between a company’s AI agents and model providers such as Anthropic. It routes requests through a proxy, logs only metadata such as model, tokens, cost, timestamps, agent ID, session ID, and stop reason, and turns that metadata into diagnostics. Prompts and responses are not stored. The product shows teams a command-center view of their AI agents: which agents are healthy, which are critical, what they spent in the selected time window, and what issue is driving the risk. When an agent is flagged, Costile gives a diagnostic report with the incident window, request log, baseline comparison, projected monthly exposure, and recommended fix. The problem we are solving is not just “AI is expensive.” The deeper problem is that AI agents are becoming autonomous software systems, but companies are still monitoring them like simple API calls. A bad agent loop, retry cascade, model-routing mistake, or runaway request can create cost, reliability, and governance risk before anyone notices. Costile helps engineering, product, and operations teams answer three questions quickly: What is going wrong? Which agent or session caused it? What should we do now? The initial product focuses on AI cost diagnostics, haywire detection, alerts, audit logs, API key management, and enterprise-ready reporting. Over time, Costile can become the observability and control layer for AI agent operations.

3A FoodTech | Sagitta Family Office

We are 3A FoodTech, part of Sagitta Family Office - one of Denmark’s largest family offices with a long history from engineering. Centrally located offices at Islands Brygge, Copenhagen and a team of 30 - with the resources to build at highest ambition. We are building the next generation of automation and robotics in food tech, and the hardware that supports our AI and software, and integrates with AI-driven decision-making.

Ai Rookie

AI Rookie helps companies turn AI interest into real capability. Many organizations want their employees to use AI more effectively, but they struggle to move from inspiration to practical adoption. Traditional training is often too generic, too theoretical, and quickly forgotten. Employees need relevant guidance, hands-on support, and someone they can learn from in the context of their actual work. That is the problem we are solving. AI Rookie is a platform where companies can give their employees access to experienced AI mentors who help them build confidence, skills, and real-world AI workflows. Instead of one-off courses, we focus on practical mentoring that makes AI useful in everyday work. We are building AI Rookie because we believe the biggest barrier to AI adoption is not the state of the technology— it is the gap between potential and implementation. Companies need a better way to help their people learn by doing, ask questions, and apply AI responsibly and effectively.

FIT for LIVET

FIT for LIVET is a health and lifestyle company working at the intersection of training, behavior change, and medically supported weight loss. We address a growing problem: many people struggle with their health and weight despite knowing what to do. For some, lifestyle changes alone are not enough. That’s why we combine structured training, motivation, and community with modern, medically approved treatments – always as part of a holistic and responsible approach. Our mission is to make health sustainable, realistic, and long-term. We believe medication can be a powerful support when used correctly, but real change happens when it is combined with movement, structure, and daily habits.

Vind AI

Headquartered in Norway and founded in 2022, Vind AI is reinventing the future of wind energy development, offering a digital platform designed to accelerate wind projects, onshore and offshore. By integrating data, advanced algorithms, and analysis and collaboration tools in one place, Vind AI enables developers to make faster, smarter decisions when planning and designing wind projects. Trusted by top renewable energy companies globally, Vind AI is an industry-driven platform

Forma Engine

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.