The Future of Life Institute is an independent non-profit that educates and engages lawmakers, key stakeholders, and the general public about transformative technologies and their implications. We advocate for policies and approaches that mitigate catastrophic risks while advancing positive futures for humanity. Humanity stands at a fork in the road with AI. One path races to replace humans as creators, caregivers, decision-makers, and workers—threatening our economy, security, civil liberties, democracy, and the human experience. But a better path exists: trustworthy, controllable AI tools that amplify human capability, strengthen institutions, and help us solve problems we cannot solve alone. Our work has been featured widely, including in The Washington Post, Politico, Vox, Forbes, The Guardian, the BBC, The Economist and Wired. Some of our achievements include: - Superintelligence Statement, an open letter calling for a prohibition on the development of superintelligent AI until there is strong public buy-in and scientific consensus that it can be developed safely and controllably. The letter has been signed by more than 130,000 people, including Yoshua Bengio, Geoffrey Hinton, Steve Wozniak, Richard Branson, Steve Bannon, Prince Harry and Susan Rice. - The Asilomar AI Principles, one of the earliest and most influential sets of AI governance principles. - The Pro-Human AI Declaration, a document with five guidelines on how AI development must be centred on humanity first, created during a meeting of bipartisan civil society groups spanning faith, labour, and think tanks. - How would a nuclear war between Russia and the US affect you personally?- A scientifically accurate simulation showing the consequences of nuclear war, with over 6 millions views and a feature in Time Magazine. - AI Safety Index - an objective rating of AI companies on key safety and security domains, as judged by experts in the field. FLI is a largely virtual organization, with a team of approximately 40 distributed internationally, mostly in Europe and the US. We have four offices: Campbell in California, Brussels in Belgium, London in the UK, and Washington DC. We meet in person as a full team twice a year.

Infrastructure owners make decisions every day about what to inspect, maintain and replace. But for assets spread across large areas, such as streetlights and cable cabinets, getting an up-to-date picture of their condition is difficult and expensive. Existing records can tell you where an asset is and how old it is. They often tell you much less about how it is actually doing. RabbIT Data helps close that gap. We turn the collection of visual condition data into guided, engaging campaigns. Through our web app, RabbIT Catch, participants find nearby assets, follow simple assessment steps and submit observations and photos. Points, challenges and small prizes give people a reason to join in and keep going. Think Pokémon Go for infrastructure, with a practical purpose. Behind the app, we validate and review observations and connect them with the owner’s existing asset data. This helps owners see patterns across their portfolio, identify assets that warrant closer attention and build a better basis for maintenance and investment decisions. Our first applications are streetlighting and electricity infrastructure. In an eight-week campaign with Skanderborg Municipality, municipal employees collected more than 4,000 registrations. The municipality has signed a three-year agreement and purchased a second campaign. Our founders bring experience from the energy sector, asset management and leadership. We have seen how much depends on decisions made with incomplete information, and how difficult it can be to collect useful condition data at scale. We believe people moving through an area every day can help make infrastructure more visible to those responsible for it. Our role is to make that contribution structured, useful and traceable. These observations complement professional inspections and help owners decide where specialist attention is needed. Today, our focus is on data collection, quality assurance and portfolio insights. Longer term, our ambition is to use the growing evidence base to support benchmarking and predictive models, helping infrastructure owners understand how assets deteriorate and plan further ahead. We are building RabbIT to help owners direct limited resources where they can make the greatest difference: keeping infrastructure safe, extending asset life and avoiding unnecessary replacement.

Phonestamp gives physical stores the same digital advantages that online shops enjoy today. With their own loyalty app, physical stores gain the ability to send direct messages to their customers via their own marketing channel. When having their own channel, they ensure that they reach the customers who already love them, and they don't have to take the SoMe channels' algorithms into account.

We’re building a Nordic financing hub for small and medium-sized businesses. We give ambitious companies a real alternative to traditional banks. Our platform connects businesses directly with investors, helping make financing faster, more flexible and transparent. We’re a small, creative and fast-paced team based at Copenhagen Fintech Lab. Join us and help build the next chapter of Nordic SME finance.

Building Matrix — a platform combining physical activity, social competition and community. Currently working on the first version of the product, school activations, events and the team around the project. My goal is to make physical activity more engaging by turning it into something people want to participate in, compete in and share with others.

Siden 2015 har JUC tilbudt juridisk etterutdanning til norsk næringsliv gjennom et bredt utvalg av kurs, konferanser, sertifiseringer og faglige nettverk. Våre arrangementer gir deg muligheten til å styrke kompetansen din og holde deg oppdatert innen en rekke spesialiserte juridiske fagområder. JUCs kurs og konferanser kombinerer praktisk kunnskap med strategisk innsikt, mens våre nettverksgrupper samler eksperter og fagpersoner til faglig fordypning, erfaringsutveksling og diskusjon. JUC Norge holder til sentralt i Rosenkrantz’ gate 22 i Oslo, noe som gjør det enkelt å delta på våre aktiviteter og bli en del av et sterkt faglig fellesskap.

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.

Fremtidens Fundraising exists for one reason: to give charities a stronger foundation of recurring members. We do it the old-fashioned way, face to face, because no algorithm can look a person in the eye and explain why a cause matters. We believe in the physical meeting, in quality over volume, and that the members who stay are the ones who felt a genuine conversation.

How people interact in the flow of work determines performance. The way they share information, express emotions, challenge ideas, make decisions, and protect focus shapes every outcome. Most teams leave these interactions to default. Humanity Pacts® is the interaction layer of work—an AI-powered system that helps teams intentionally design the agreements that shape how they interact, so high performance becomes the team's default, not an accident. Through AI-powered workshops and ongoing team support, we help teams identify the human patterns that matter most and transform them into TeamPacts®—AI-generated, context-aware agreements that define how people will respond when those patterns emerge. Instead of reacting on autopilot, teams pre-agree how they will communicate, challenge ideas, make decisions, navigate conflict, and support one another before predictable human dynamics take over. Every TeamPact® is tailored to the team's unique context using behavioral science, social norms, team dynamics, and AI—making high-performance behaviors easier to activate in the moments that matter most. Not values posters. Not policies. Not another personality assessment. A practical operating system for human interaction. Our work helps teams systematically and sustainably: • Speak up with ideas, concerns, and insights before opportunities are missed. • Make decisions with clarity instead of assumptions or politeness. • Use healthy friction to strengthen thinking and improve outcomes. • Build trust through consistent day-to-day interactions. • Protect focus and attention as a shared responsibility. • Surface misalignment early and course-correct before it becomes costly. Whether through in-person workshops or AI-powered guidance, Humanity Pacts® helps teams move from default behaviors to intentional interactions—creating cultures where people step up, speak up, give space, and show up when it matters most.

BLS HAFNIA is a Copenhagen-based clothing brand established in 2011. The brand started as a minimalistic contemporary label with a focus on headwear. Since then, BLS HAFNIA has evolved into a complete clothing brand rooted in Scandinavian minimalism, utilitarianism, and Italian sportswear influences. Our goal has always been to create products with exceptional fit, comfort, and timeless appeal. Today, the BLS HAFNIA collection includes a full range of apparel, developed through seasonal collections, capsules, and collaborations with both Scandinavian and international brands. Our garments have been worn by influential figures across fashion, music, and sports, helping establish BLS HAFNIA as a recognized name within contemporary streetwear culture.

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.

ProTag is building a Digital Product Passport platform that helps manufacturers and product owners manage and share product data across their supply chains. We solve the growing challenge of fragmented, unstructured information by combining a network-driven SaaS platform with AI that turns messy supplier data into structured, usable product intelligence. Across industries, a new reality is emerging: products are no longer just physical objects, they are data assets. To sell, operate, and scale, companies need reliable information about what goes into their products, where it comes from, and how it evolves over time. The problem is that this data does not exist in one place. It is scattered across suppliers, stored in PDFs, buried in emails, or locked inside disconnected systems. Most companies today are trying to manage this with spreadsheets and manual processes. That might work internally, but it breaks down completely across a supply chain. This creates a structural problem: • Companies depend on data they do not own • Suppliers struggle to provide consistent information • Teams spend significant time chasing, cleaning, and validating data At the same time, external pressure is increasing. Customers, partners, and regulators are all asking for more transparency. What used to be “nice to have” is quickly becoming required to do business. The result is a growing gap between what companies need to know about their products and what they can actually access and trust. ProTag gives companies a way to build a live, structured view of their products across the entire supply chain. Instead of trying to centralize everything manually, we connect the different actors and let data flow where it is created. Companies use ProTag to: • Organize product data in a consistent structure • Request and receive information directly from suppliers • Keep everything updated as products evolve • Share product data with customers and partners when needed AI plays a critical role in making this scalable. We use AI to: • Turn unstructured documents into structured product data • Identify gaps, inconsistencies, and risks in real time • Reduce the effort required to onboard suppliers and maintain data quality What makes ProTag different is how it scales. We are not just building a tool for a single company. We are building a network. When one manufacturer joins ProTag, their suppliers are invited in. When those suppliers join, they can reuse their data across multiple customers. Over time, this creates a shared data layer where: • Information becomes easier to access • Data quality improves naturally • Switching costs increase for everyone involved We do not replace existing systems. We sit on top of them and connect them. This makes adoption fast and reduces friction from day one. We started ProTag because we experienced this problem firsthand. Working in industries with complex products, we saw how much time was spent chasing information that should have been readily available. Engineers, quality teams, and commercial teams were all dealing with the same issue from different angles, but there was no real solution. At the same time, the direction of the market became clear. Transparency around products is increasing, not decreasing. The amount of data required is growing fast. Most companies are not prepared for this shift. We realized this is not just a workflow problem, it is an infrastructure problem. The way product data is managed today does not match how supply chains actually work. That is why we are building ProTag. Our ambition is simple: to become the default way companies manage and share product data across supply chains. Once that layer exists, it unlocks everything else.

Grønt og Gråt ApS renser tagrender for private, boligselskaber, erhverv og offentlige instanser. Med vores teleskop udstyr når vi op til 6. sal fra jorden, hurtigt, sikkert og til en fair pris og altid med ordentlighed i fokus. Grønt og Gråt ApS blev grundlagt med en klar vision: at gøre professionel tagrenderensning mere effektiv, sikker og prisvenlig for alle. Vores Mission Vi ønsker at skabe tryghed og glæde for ejendomsejere ved at sikre, at dine tagrender og tage fungerer optimalt og ser velplejede ud. Vi udfører vores arbejde med ordentlighed, præcision og respekt for både ejendom og omgivelser. Med effektive, sikre og miljøvenlige metoder sørger vi for, at regn- og smeltevand kan drænes frit, uden risiko for vandskader eller tilstopning.

Landjord converts farmland into wild nature and private camping sites. We solve the lack of authentic, quiet nature experiences with comfort, while creating new income for farmers. Campers get access to secluded, well-designed spots, and their stay supports biodiversity and green transition. It’s a scalable model combining tourism, nature restoration and agriculture.

Vi er et norsk agri-tech-selskap etablert som en joint venture-startup, eid av TINE SA, Felleskjøpet Agri og Gjensidige. Vi utvikler digitale løsninger og dataprodukter som bidrar til mer effektiv og bærekraftig matproduksjon, i samarbeid med bønder og aktører i landbruksnæringen. Med utgangspunkt i data gir vi bønder viktig innsikt til planlegging og forbedringer i sin gårdsproduksjon.