Peter Kurzwelly

GetOutinSweden is a digital marketplace for outdoor activities. It is a marketplace where people can discover exciting outdoor activities and adventures across Sweden. Our vision is to be the natural choice for finding outdoor inspiration and adventures in the Nordics. We want to be the personal and safe platform where it is simple to get inspired, find and book your next adventure. We help discoverers find and book their next adventure and we help outdoor activity providers market themselves. We focus on the digital platform so that organizers and adventurers can do what they do best: focus on the experience!

A network for entrepreneurs building in stealth. Submit your information here so investors can find you: harmonic.ai/get-discovered

Liminal Sensing turns the radio signals already in the air into an invisible perimeter for critical infrastructure. Civil, telecom and satellite signals saturate every site on Earth. We place a handful of low-power, solar-powered receivers around an asset, learn its baseline RF environment, and detect the disturbances a person, vehicle or drone creates when they cross into the protected volume. No cameras. No fences. No active emitters. No trenching. Deployed in a day. Because the system only listens, it transmits nothing — leaving an adversary nothing to detect, jam or spoof. We start where the loss is real today: utility-scale solar. European solar farms lose 1–5% of asset value a year to theft and vandalism, and NIS2 and the CER Directive now oblige critical-infrastructure operators to detect and report physical intrusion. The same sensors extend to substations, telecom sites and remote grid assets. Were a sensor layer, not a system replacement — integrating into the VMS, SOC and alarm stacks operators already run, and complementing cameras, fibre and radar rather than competing with them. Liminal Sensing is built on six years of applied research at FADEC AB (est. 2018, Gothenburg), with roots at Chalmers and Uppsala Universitys Ångström Laboratory, a multi-year European Innovation Council project (2025–2028), and a strategic technology partnership with Thales. Sensing what crosses the threshold. For more information visit liminalsensing.com

Lindholmen Science Park is a national resource for independent research and innovation. In addition to being a dynamic and creative area, Lindholmen Science Park is also an arena for collaboration across geographical borders. Several leading development projects are being run within this arena, with a focus on future mobility for people and goods. Starting from societal challenges and a shared need for new knowledge, we are accelerating opportunities to develop new solutions, thereby helping to generate long-term growth and innovative power for Sweden. In parallel, we have accumulated an extensive knowledge bank and unique experience in several areas, including ICT, AI, media and visualization, where we are also conducting several successful projects. In our environment stakeholders from the business, university and public sectors collaborate. The projects that are carried out within Lindholmen Science Park are characterized by cross-border cooperation, both in terms of competence, organization and between countries.

Founded by Professor Yoshua Bengio of the University of Montreal, Mila is a research institute in artificial intelligence that now brings together over 1,200 specialized researchers in machine learning. Based in Montreal, Mila’s mission is to be a global center for scientific advancements that inspire innovation and the growth of AI for the benefit of all. Mila is a globally recognized non-profit organization for its significant contributions to deep learning, especially in the fields of language modeling, automatic translation, object recognition, and generative models. Scientific Mission: Understanding of fundamental principles Supervised learning and pattern recognition Unsupervised and semi-supervised learning Representation learning, and deep learning of representations Computer vision applications Applications in natural language processing Applications in modelling signals such as speech Applications to healthcare Applications on large scale data (big data)