RiskFinder helps the companies that keep heat, water and power running stay ready when something goes wrong. Our customers are utilities and critical infrastructure operators. Every year they face more cyber threats, extreme weather, supply chain failures and new rules. Most of them already have emergency plans and risk assessments. But the information sits in long documents, spreadsheets and people's heads. That is exactly where it is useless in a real crisis. We turn it into something teams can use under pressure: clear action cards, live risk tracking, exercise planning, supplier and asset overviews, and the proof that they are ready. This is not a tool for auditors. It is for the person on shift when a plant goes down at 3am, who has to make the call and keep the city warm. Those are the high-stakes moments we build for. When it counts, the work has to hold. We are early. RiskFinder is a small operation working with serious customers on hard problems. There is no narrow lane to stay in. You will see how the whole thing fits together, from talking to the people who run a plant to shipping the feature that helps them. If you want your work to land on something real, with people who genuinely need it, this is a good place to spend your time.

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.

Buildright is developing an AI intelligence layer for construction projects to help contractors and project teams solve invisible risk — by turning the data already generated on every project into actionable insights before problems become costs. The problem hiding in plain sight Construction is broken. 85% of large projects finish over budget. Rework accounts for 9% of total project cost. Delays cost $280bn annually in North America alone. The signals that predict these outcomes already exist — in meeting notes, deviation logs, change orders, and task lists. But no one sees them in time to act. Risk only becomes visible after it has already cost you. This affects every contractor, project manager, site foreman, and HSE officer on every project — in an industry that represents trillions in global economic activity. From raw data to the right decision Buildright connects the data already generated on construction projects and surfaces the right insight to the right person — at every level of the organisation. Project directors get cross-project risk visibility to see which projects need attention before they escalate. PMs, HSE managers, and quality leads get role-specific dashboards with the decisions they need to make, surfaced daily. Site crews get targeted microlearning triggered automatically when a risk pattern is detected — before the next shift starts. But we go beyond insights. Buildright also automates the everyday tasks that consume project teams — generating alerts when something needs attention, and producing artifacts like meeting packs, reports, and change-order traces automatically. The result is not just better visibility, but a meaningfully more efficient project team. We're live in production with AF Gruppen and Betonmast, two of Norway's largest contractors. 100,000+ deviations, tasks, and meeting notes analysed — with a confirmed 10x ROI from our pilots. The urge to solve a global problem Lars Gaustad spent years at the top of the construction industry — and watched the same story play out over and over. Projects bleeding money. Deadlines slipping. And when it was over, everyone moved on. No real post-mortem. No learning. Just the next project, making the same mistakes. The industry wasn't short of ambition. It wasn't short of software. It was drowning in data it couldn't use. As CEO of Saint-Gobain Construction Products in Norway, Lars saw that the real problem wasn't digitalization — it was that decades of hard-won project knowledge was locked away, invisible, unreachable to the people who needed it most. Every project started from scratch. Every mistake was someone else's first time. That's not a technology problem. It's a fundamental failure to learn. And it's costing the industry hundreds of billions every year. That's why we build the construction industry's intelligence layer.

Greenbow gør opladning af elbiler enkel og fleksibel med intelligente ladeløsninger til både hjemmet og vejen. Virksomheden tilbyder moderne ladestandere, smart charging og brugervenlige apps, der hjælper kunder med at lade billigere og smartere. Med fokus på teknologi, service og grøn omstilling ønsker Greenbow at gøre hverdagen nemmere for elbilsejere.

Auxilium Infrastructure Partners develops, owns, and operates flexible energy assets that help stabilize the electricity grid while creating new revenue streams for industrial sites and asset owners. The electricity system is becoming increasingly volatile as more wind and solar power enter the grid. This creates a growing need for fast, reliable flexibility: assets that can consume, store, or release power when the grid needs support. Today, many industrial sites have unused grid capacity, heat demand, backup systems, or space for batteries, but lack the technical platform, market access, and operational expertise needed to turn that flexibility into revenue. Auxilium solves this by combining physical energy infrastructure with proprietary software. We deploy and operate assets such as battery energy storage systems, electric boilers, load banks, and other controllable loads. Our platform connects these assets to energy markets and ancillary service markets, allowing them to support grid stability, optimize power consumption, and generate income. We handle the full process from site assessment and technical design to installation, operation, market participation, monitoring, and optimization. This gives customers a simple way to monetize their grid connection or energy assets without needing to build their own trading, control, or compliance capabilities. Our mission is to accelerate the green transition by making distributed energy flexibility scalable, investable, and easy to deploy.

Teton is a care empowerment platform for senior living and healthcare operators. We use an in-room sensor and application layer to continuously understand residents, staff activity, and the care environment, then translate those signals into action for frontline care teams. Senior care operations are under structural pressure. Chronic staffing shortages, rising resident acuity, and inconsistent observational data have left care teams flying blind between documented events. Most existing tools simply record what already happened, and that is no longer sufficient. When teams are stretched, they need earlier signal, faster response, and more consistent decision-making, not another retrospective report. Teton exists to close the decision gap between observation and action. The shift we are making is from a reactive model of documentation, isolated alerts, manual interpretation, and delayed intervention, to a proactive one built on earlier signal, workflow-aligned insight, and faster, more consistent action. Our direct user is the care team, and resident and family outcomes improve because staff decisions improve. What sets us apart is that we lead with outcomes and let the technology serve them, not the other way around. We provide continuous visibility that surfaces risk before situations escalate. We fit into existing care workflows without adding new steps. We use longitudinal behavioral and health signals like movement, gait, sleep, and routine patterns to enable individualized, preventative care rather than one-size-fits-all responses. And we deliver community-level operational clarity from consistent in-room data, supporting accountability without resorting to surveillance or long-buffer video watching. Importantly, Teton is not a fall detection product, a single-event alerting system, or a retrospective dashboard. Those tools address fragments of the problem. We address the whole gap. The reason this matters is that when care teams can see risk sooner and act earlier, the impact compounds. Operators see stronger resident retention through more consistent and individualized care, lower incident-related costs by reducing preventable falls and hospitalizations, improved staffing efficiency by removing manual observation and rounding burden, and greater operational predictability across shifts, teams, and communities. Care quality stops depending on which staff member or which shift happens to be working. Our north star is simple: Teton empowers care teams to stay one step ahead, so operators can deliver better outcomes and run more predictable businesses. Stay Ahead. Care Ahead.

Patent pending deep tech innovations in drone fleet /swarm operations by bringing autonomous aerial infrastructure. https://www.linkedin.com/company/sentinel-fleet-ai https://sentinelfleet.ai/ About Sentinel Fleet Sentinel Fleet is creating a new category: Autonomous Aerial Infrastructure. While the drone industry has focused on aircraft, sensors, and missions, the infrastructure required to scale autonomous operations has remained largely unsolved. We are building that infrastructure. The Missing Infrastructure Layer Autonomous systems cannot scale on manual infrastructure. Our patent-pending platform combines intelligent docking, power management, fleet coordination, and autonomous operations into a single system that enables drones to operate continuously with minimal human intervention. The result is a network that transforms drones from isolated tools into persistent, coordinated assets capable of delivering real-world outcomes at scale. Deploy anywhere. Scale effortlessly. Operate continuously. Autonomous Intelligence AI turns a network of drone docks into an autonomous sensing and response system. It continuously deploys, coordinates, and recharges drones while analyzing data at the edge in real time. This enables persistent monitoring, faster decisions, and lower operational costs without human intervention.

Proteins.1 is a Finnish biotech startup on a mission to make diseases detectable years before symptoms appear — when treatment is most effective and survival rates are highest. The Problem For diseases like cancer and Alzheimer's, the body releases early warning proteins into the bloodstream long before any clinical symptoms emerge. The problem is that these signals are so faint that today's blood tests simply cannot detect them. By the time a diagnosis is made, the disease has often already progressed to a stage where treatment options are limited and outcomes are far worse. Our Solution We've developed a breakthrough technology called Affinity-Mediated Transport (AMT) — think of it as bringing PCR-like amplification to proteins. Just as PCR revolutionized the detection of genetic material, our platform makes individual disease-signaling proteins visible from a standard blood sample, at sensitivities up to 1,000 times beyond what current gold-standard diagnostics can achieve. The technology originated at VTT Technical Research Centre of Finland, has been validated through EU breakthrough innovation funding, and is protected by granted patents in both the EU and the US. Where We Are Founded in 2025 and backed by €4.7M in pre-seed funding from Lifeline Ventures and Cloudberry Ventures, we are a team of deep-tech founders, engineers, and scientists based in Espoo, Finland — building the next generation of diagnostic instruments that could fundamentally change how the world detects and treats serious disease.

Vexter hjelper B2B-selgere å jobbe smartere ved å kombinere presis prospektdata med et intelligent AI-verktøy for e-post outreach. Vi gjør det enkelt å finne riktige leads, bygge målrettede kampanjer og skape flere møter på kortere tid. Med Vexter bruker du mindre tid på manuelle prosesser og mer tid på å selge. Plattformen omsetter data til innsikt som øker konverteringsraten, øker effektiviteten og skalerer veksten.

Most companies know they need to move on AI. The challenge isn’t awareness - it’s knowing where and how to start and keep momentum. That’s the kind of problems we work on at Kompose. Working at Kompose means being part of a small, highly focused team that builds side by side. We combine deep technical expertise with hands-on delivery, helping professional services firms and larger enterprises move from complexity to working, production-ready AI solutions. No slide decks for the sake of it. No pseudo-work. We focus on real use cases and ship solutions that deliver visible results. We move fast and prioritise momentum. If something doesn’t create value for the customer, we don’t do it. Good ideas win - regardless of title. Feedback is direct and constructive. Mistakes are fine; carelessness and unnecessary complexity are not. Our days are collaborative. We start each morning with a short check-in and spend most of our time working closely together in the office in Christianshavn. There’s space for deep focus and space for discussion. Transparency is the norm - about challenges, trade-offs, and decisions. We experiment constantly and apply AI in our own workflows. We test new tools, refine how we build, and continuously evolve our delivery framework so we get sharper with every project. You’re trusted to own your work and see it through - from idea to production. We’re ambitious and growing organically, but we believe good work requires balance. Some weeks are intense, others lighter. We swim in the canals every week (even in winter) and during summer we hold meetings on a rented boat. Lean team. High trust. Real responsibility. Real impact.

Defend Denmark er Danmarks første og eneste lokale bug bounty platform. Vi forbinder danske etiske hackere med danske virksomheder, så sårbarheder bliver opdaget og lukket inden de udvikler sig til reelle trusler. På platformen kan etiske hackere lede efter sikkerhedshuller hos vores kunder. Finder en hacker en reel sårbarhed, udbetaler kunden en dusør. Det gør it-sikkerhed resultatorienteret frem for tidsorienteret, som ellers er normen i konsulentverdenen. Målet er at få flere danske virksomheder til at tage bug bounty modellen til sig som et aktivt værktøj i deres sikkerhedsarbejde. Defend Denmark er søstervirksomhed til islandske Defend Iceland. Vi er stadig tidligt i opbygningen af virksomheden og kommende medarbejdere får reel indflydelse på de praktiske rammer, herunder kontorplacering og daglige arbejdsgange.

We are an early-stage company developing retail software for the global watch and jewellery industry. Our customers work with high-value objects, but often rely on generic systems not designed for their industry. We develop a specialized platform for operations and documentation that improves efficiency and transparency without compromising quality.

Oppa Oppa is a Danish skincare store bringing the best of Korean beauty to Scandinavia. We curate and import top-rated Korean skincare products — from well-known favorites like Anua and Beauty of Joseon to insider picks still undiscovered in the West. Our mission is to make premium Korean skincare accessible, trustworthy, and enjoyable for everyone in Denmark. By combining authentic Korean expertise with Scandinavian simplicity, we help people achieve healthy, glowing skin through products that truly work. Oppa Oppa is currently in its early growth stage, expanding our online presence and building a passionate community through creative content, social media, and e-commerce.

Lun is a satellite design automation platform that helps engineers move from concept to launch with speed and clarity. We’re starting with preliminary design, where workflows are slow, fragmented, and emotionally draining. Engineers across disciplines struggle to iterate, align, and stay motivated. After interviewing 30+ professionals in the space industry, we saw a clear need for a tool that simplifies internal layout decisions and highlights early thermal and power risks. We’re building Lun to restore clarity, speed, and energy to the design process—so space teams can build better, faster, and with confidence.

Social Mirror is an interactive smart mirror solution for retail that makes the shopping experience more social, digital, and engaging. Today, many shoppers struggle to make confident purchase decisions alone in the fitting room. They want instant feedback from friends or to share their experience online, but most in-store solutions are static and lack digital features. For retailers, this means missed opportunities to connect with customers, gather insights, and differentiate in a highly competitive market. Social Mirror bridges this gap by connecting offline shopping with online interaction. With the mirror, customers can: Invite friends to join their fitting session live via video. Capture outfit photos and receive them directly by email. Experience interactive features that turn the fitting room into a platform for inspiration, sharing, and social feedback. For retailers, Social Mirror creates a new way to engage customers, enhance satisfaction, and strengthen the connection between brand and shopper.