Are you interested in finance & data and looking for more than "just a job" ? Do you want to work in a motivated team with international colleagues where every day brings new opportunities to learn? At BrightAnalytics, we understand your ambitions. Our management reporting platform helps CFOs and CEOs to make smarter, faster strategic decisions using implemented Artificial Intelligence. We turn financial, operational data into clear, real-time dashboards, enabling action and delivering impactful results. BrightAnalytics counts 130+ young enthusiasts with an academic background in finance working from our headquarters in Roeselare and our offices in Stockholm, Rotterdam, Oslo, Copenhagen and Paris. BrightAnalytics is the place where you can make a lasting impact and shape your future.

🚀 Plaace (/pleɪs/) is a rapidly growing Norwegian tech startup on a mission to create vibrant streets and cities that people truly love. We do so with a platform fuelled by state-of-the-art analytics and newly available data sources to enable smarter decisions for every actor involved in the city floor. Our data-driven platform provides valuable insights and recommendations based on card transactions, footfall, demographics, and competition to empower businesses and organisations to make informed decisions. We work with some of the largest property companies, retailers and brokers including OBOS, Eiendomsspar, Alti Forvaltning, Stor-Oslo Eiendom, Norgesgruppen, CBRE, Princess, Fretex, etc. We’re at a stage where we focus on growing the customer list and harvesting the market potential both nationally and internationally. At Plaace you’ll join a high-paced environment in a rapidly growing startup. We work from a a kick-ass office environment at coworking space StartupLab, surrounded by other cool startups, and a convenient easy (5 mins) train access from the city center of Oslo. We work in a fun and inspiring culture where you’ll get a ton of responsibility and freedom to contribute with your talent and experience. We benefit from high flexibility, where everyone is free to work from home a couple of times/week, but not fully remote, as we reap the high benefits of bringing our bright and diverse minds together. You will join a team of smart, talented and committed colleagues from a variety of backgrounds, both culturally and academically. Because we are a small team and work closely together, we also enjoy a lots of social activities, Friday beers, social dinners and company trips. If this sounds like the right place for you, then we would love to hear from you. Check out our job openings below!

Kindly is one of Europe’s leading chatbot providers specializing in the development of artificial intelligence and automation solutions for customer service and communication. The company offers a platform that combines advanced machine learning techniques and natural language processing (NLP) to enhance the customer experience and improve the efficiency of customer service processes.

Our vision is to help industry and nature to coexist. 🦅 With the current pressure on nature, biodiversity management is bound to see a new wave of regulations and increased pressure on industry to monitor, measure and reduce its impact. We help industry tackle this challenge with our proprietary biodiversity monitoring technology.

Aquabyte was founded in 2017 to bring machine learning and computer vision technologies to the aquaculture industry. Our diverse team of machine learning experts, entrepreneurs, and aquaculture biologists are hyperfocused on delivering solutions with a real world impact. Real-time sea lice counting, biomass monitoring, and appetite detection are just a few of the many applications that will eventually be possible with the Aquabyte system. We have offices in San Francisco and Norway.

Nexro is an early phase startup with the mission of empowering the music industry. We are developing our predictive AI analytics to give the music professionals true insights from music trends. We gather data from streaming platforms, social media, radio stations and music consumption to deliver real-time trends predictions so that labels, publishers, marketing, promotion and other music industry professionals can take their operations to the next level.

Our team is dedicated to develop and manufacture innovative products for the coffee industry, increasing quality in the cup and efficiency in the workflow. ROEST’s current portfolio includes two models of an AI powered hybrid coffee roaster designed for quality control. ROEST Sample Roaster has received several industry awards and even helped coffee enthusiasts to succeed in the World Coffee Championships. In 2023 we will launch a new production roaster for small to medium-sized roasteries. Since 2018 we have sold over 1000 roasters to more than 80 countries around the world. What started as a master thesis has turned into a fast-growing, open-minded company with an international team dedicated to improving coffee. ROEST AS became the national gaselle winner for 2022. https://www.dn.no/gaselle Our product can be viewed here: https://youtu.be/VDi4KYr3pYw Our story can be viewed here: https://youtu.be/xMdB0wTXoR8

Rubus delivers a collaboration platform for real estate projects, gathering all project participants - developer, general contractor, subcontractors and home buyers - in one place, with all communication, documentation and tasks centralized. We do all development inhouse and have customers in Norway, Sweden and Germany. We’re guided by three core values: *One Team* – we trust each other, speak openly, and have each other’s back *Playful* – we allow ourselves to have fun, we are lively and we have a playful attitude *Gutsy* – we try things, learn fast, and speak up when it matters Rubus has been used in over 700 projects and can refer to - 40.000 homes on the platform - 2000 company profiles - 1.3 million messages sent in the platform - Almost 500.000 documents uploaded - More than NOK 1 billion in options and upgrades done by home buyers

1. Short description RoboConnect is developing an independent, AI-supported platform that helps industrial companies turn tacit and fragmented process knowledge into a clear, decision-relevant automation case — before supplier dialogue begins. 2. The problem Many industrial companies know they need to automate, but struggle to define what should be automated, what is causing the problem and whether the process is ready for investment. The people closest to production often understand the process well, but this knowledge may be spread across operators, engineers and management, poorly documented or mixed with assumptions and missing data. The customer may therefore approach the market with an unclear problem description and incomplete information. System integrators then have to reconstruct the customer’s process understanding and collect missing data before a meaningful solution dialogue can begin. This creates uncertainty, longer clarification phases, weak or difficult-to-compare proposals and projects that stall early. The core problem is not a lack of technology or suppliers. It is that the knowledge needed to make a good early automation decision is often tacit, fragmented and difficult to transfer. 3. The solution RoboConnect starts by understanding the customer’s process, challenges and actual needs. The RoboConnect AI Advisor conducts a guided professional conversation that helps the company describe how production works today, what it wants to improve, which constraints matter and what information is still missing. The AI Advisor brings together information from different parts of the organisation, separates facts from assumptions and uncertainty, identifies knowledge gaps and risks, and turns unclear issues into practical next actions. The result is a shared and structured automation basis that can be developed into a supplier-ready project brief. Relevant projects can then be connected with suitable system integrators, technology suppliers and R&D environments. This gives the customer greater decision confidence and solution providers a better starting point. RoboConnect is not building a generic chatbot. The platform combines a domain-specific workflow, structured project data and knowledge from industrial cases, expert interviews and feedback from customers and automation partners. Over time, this strengthens clarification, project maturation and matching. The first focused area is welding automation and high-mix, low-volume manufacturing. The longer-term ambition is to expand across other automation categories and build a Nordic platform for early-stage automation clarification and matching. 4. Business model and commercial opportunity RoboConnect creates value on both sides of the market. Industrial companies receive a clearer and safer starting point, while automation partners gain access to better-qualified customer opportunities. The current model is based mainly on supplier-side revenue through fees for qualified matches and successful projects. Future revenue streams may include paid AI-assisted readiness reports, supplier subscriptions, premium access and category-specific products. The model is now being validated through pilots and early customer projects. Norway is the validation market, with Sweden as the first intended scale-up market. 5. Why I started RoboConnect The motivation came from repeated conversations with industrial companies, automation experts and system integrators. I saw that many projects became uncertain long before technology was selected. Companies needed a more independent and structured way to understand their own situation before entering a supplier-led process. With a background in research, data analysis and complex problem structuring, combined with further training in programming, databases and AI, I founded RoboConnect to bridge the gap between industrial process knowledge and automation delivery.

Oslo Soup is micro funding dinner aimed at supporting community-enhancing initiatives in Oslo. We are the first Scandinavian chapter, and our goals are to: Empower citizensSpark job creationFoster a culture of sustainabilityEncourage new relationships and networksPromote synergies between established businesses and start-upsPrompt action and changeBoost initiatives geared towards health and well-beingInstil city prideEnable democracy in action

Diwala is a Norwegian-based company that is focused on building opportunities for youth, addressing the global issue of identity theft and certification fraud. Today, displaced individuals and people in emerging markets are challenged by high costs and slow manual processes to verify the authenticity of their skills, identity and credentials. As a result, these individuals have to deal with tedious and out-dated credentialing processes, and are in some cases forced to repeat years of education. This leads to both loss of productivity and inflated unemployment. Imagine that you had to flee your own home because of war. Like Aıscha Najjar, a Syrian doctor turned refugee immigrated to the United States to pursue her dream of work & a safe home. Yet, due to loss of information, she was forced to repeat medical school in the United States. If she had a verifiable skill identity, she might have had the privilege of practicing medicine without any questions. Aıscha`s story amongst others epitomizes the challenge Diwala is addressing. To tackle this challenge, Diwala has created a platform that enables schools and NGOs to issue skill-based identities, backed by blockchain technology. A skill-ID is a digitally verified record of a person’s educational and work history. Diwala is building an ecosystem of trust, by enabling educational institutions and organizations to safely and digitally issue and verify credentials. This will, in turn, save all parties time, money and build a bridge for global work opportunities for untapped talent. Complementing the platform, Diwala has built an app that allows students to easily receive, store and share credentials of both soft and hard skills. By utilizing a decentralized identity management tool, Diwala’s application will also give people ownership of their data information. Diwala is currently executing pilots regularly, to optimize the features and security of the platform in both Kenya and Uganda. Working with their implementation partner Clarke University in Kampala, Diwala recently issued the first set of skill-identities to both students and administrators. These are the first ever digitally verified certificates backed by decentralized identity and blockchain in Africa

TIND is a Norwegian scaleup with roots from CERN and NTNU, headquartered in Oslo. The company has developed a Digital Archive software platform, delivered through a SaaS model to universities and research institutions worldwide. Most of TIND's customers are located in the United States and include renowned institutions such as UC Berkeley, Duke University, and the United Nations. Today, TIND has a team of 20 employees and offices in Oslo and the U.S. The company is backed by Equip Capital, experiencing strong growth (around 30% per year) and has ambitious plans to scale further internationally.

We develop a software product for energy companies and wind developers to guide the end-of-life phase of wind farms. Our mission is to accelerate wind energy renewal and ensure no components end up in landfill. ReWind began as an internal project in DNV, but has since spun out into an independent, fast-growing company since launching our product.

Wonderloop is video-identity of people with goal of a new way of distributing wealth in the world. For users it´s social video-profiles of people. Wonderloop is a tool, more than a social network in itself. We want to drive traffic to social networks based on new connections made. It's the step before social networking. It's the step before everything. With Wonderloop, we wish to change the culture of human identity and with that change the way we connect and give - directly to people.

Training high-quality datasets generated through ethical human-in-loop workflows to fuel world-class AI models. Combining 27+ years of language expertise in localization and AI data to support e2e model training. What we do Gen AI: Our domain experts and Generalists power LLM model training to improve output for your end users Model Training: We train high-quality datasets generated through ethical human-in-loop workflows to fuel world-class AI models. Data Collection & Labeling: We gather and meticulously label data to create a high-quality dataset tailored to your requirements. Evaluation & Iteration: Continuous evaluation and iterative improvements ensure your models maintain peak performance.