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Geschlossene Calls

Continuous monitoring of thermal solar panels’ efficiency

Context The proper operation of thermal solar panels (TSP) is an issue as the maintenance (if any, in most of the cases: none) is usually performed once a year. The deterioration of the installation is not apparent to the owner as TSP is only a supporting system. In fact, Domestic Hot Water (DHW) is still....

Digital Onboarding for Small and Medium-Sized Companies: A Toolbox Approach

Requester: Berner Fachhochschule (BFH) In today’s rapidly evolving business landscape, the onboarding process has emerged as a crucial aspect of organizational success. With the advent of remote work and virtual teams, new challenges have arisen, necessitating the development of structured onboarding processes that incorporate digital tools. However, the integration of analog and digital tools to....

Improving behavior in front of screen using AI

Requester Intelec Artificial Intelligence GmbH (Intelec AI) Idea description We all spend more and more time in front of screens. Sitting in front of the screen in the correct position and keeping minimum distance between your eyes and screen are crucial in staying healthy and avoiding developing short-sightedness. The problem is that a lot of....

TalkDoc: the AI-Powered Documentation (by Cross-ING)

Idea description In today’s fast-paced business world, efficient documentation is key to maintaining a competitive edge. Our idea is to develop TalkDoc, an AI-powered documentation assistant that streamlines the creation, organization, and management of a company’s internal and external documents. We envision a cutting-edge Large Language Model (LLM) that is fine-tuned on a company’s specific....

Smart Platform for Earth Observation Data Search & Use

Requester: University of Zurich (incl. extended consortium of industry and research) The availability and quality of satellite data have strongly increased in recent years. However, this diversity of data also makes it difficult to maintain an overview of current developments. This applies to finding the most suitable data for specific questions, data handling (from data....

Leveraging the power of open source to boost the usability of product data in the construction industry

Goal The ultimate goal of the OpenMaterialData project is to enable all stakeholders in the construction industry to perform their workflows on the same product specific datasets, regardless of which software tools they use.  This results in significant benefits that are critical to a greener and more productive construction industry. Firstly, evaluating and comparing a....

Smart Mobility for Tourism

Mobility as a Service (MaaS) wird momentan nur für Städte (z.B. Zürich, Basel) aufgebaut. Allerdings kämpfen auch ländliche touristische Regionen mit Herausforderungen im Bereich Mobilität und diesbezüglichen Umweltbelastungen. Die offene Frage ist, wie bei einem MaaS für touristische ländliche Regionen die notwendigen Daten erfasst und an eine Verarbeitungszentrale weitergeleitet sowie ausgewertet und für die Nutzenden....

ML model and dataset licensing

In many applications of machine learning (ML), foundation models are becoming the starting point for downstream analyses and tasks. For example, any text-bound task will often begin with a large language model, which has been pre-trained on vast text corpora scraped from the web. Subsequently, these models are tuned on a few annotated samples for....

Unleashing the full potential of precision medicine – equitable access to cutting edge data for research at every scale

Requester: Psephisma Health Even though medicine has always been personal, in a sense, it hasn’t been very personalized. The steady development of diagnostic and research technologies has made it abundantly clear that individuals differ in many aspects. It is the appreciation of molecular differences (genetic, transcriptomic and proteomic ones) that gave rise to term of....

Measuring and managing value and risk for AI projects in an organization

It is a well-known fact that most Data (AI) projects don’t make it to production. This is due to various risks associated with people, process, and technology aspect of use-case development and productization. In this project our goal is, to create an advanced business process automation and optimization tool that helps organizations quantify, measure and....

Virtual Traffic Counter

Replace the traditional physical traffic counters (motorized individual traffic) with a solution that compiles traffic information from various sources that are available on the internet using free and paied for data. The aim is to give a user the possibility to perform a traffic count on the exact location he desires without the need to....

Web Crawl – Data Collection & Analysis

Describe your challenge or idea in a few sentences. We struggle to automate the identification of privately owned / family-owned businesses whose owners can be considered Ultra High Net Worth Individuals (UHNWI). We currently undertake manual research to create a database of private investors, wealth owners, business owners, entrepreneurs, and family office principals with a....

Determination of the rooftops use

The rooftops are features that can play a role in many cantons or cities’ strategies to answer the challenges of tomorrow. They can host solar panels to produce green energy or vegetation to decrease the heat island effect and favor biodiversity. However, those surfaces are restricted, and the elements built cannot overlap. The roofs are....

Component Recognition Tool to Display Technical Information in the Users Field of View – Contextual View and Mixed Reality Technical Information

In terms of industry 4.0 and the digitalization the application of mixed reality technologies such as augmented reality gain increasing importance within the field of technical communication. These technologies provide user-friendly and context-sensitive technical information i.e. intelligent information for users. The aim is to develop an application that can be used with mobiles phones, tablets....

Call for Collaboration: Multimodal AI - combining text, images video, audio and structured as well as graph-based data

Opportunity An exciting frontier in current AI research and application is building systems which can combine multiple modalities such as text, images, video, audio and structured as well as graph-based data, called Multimodal AI. This allows to gain a deeper understanding of the tasks at hand and thus achieve solutions of much higher accuracy or....

SILVA - Satellite-based Inspection of Large Vegetated Areas

Requester: ExoLabs GmbH ExoLabs is a spin-off of the University of Zurich and its expertise is based on over 10 years of research in the field of applied Earth Observation (EO) and software development – with the mission, to provide state-of-the-art and user-friendly EO products and services across various spatial and temporal scales. ExoLabs’ track....

ESG Model Validation

Ascentys operates in the ESG (Environmental, Social and Governance) space. We have defined a model of 360 KPIs across each aspect of ESG and use technology to systematically extract the relevant data from customers documents. We then use the data to inform and calculate each KPI. As a result, we are able to automate ESG....

Predictive Maintenance for Precision Winding Machines

SSM Schärer Schweiter Mettler AG Introduction: SSM Schärer Schweiter Mettler AG (SSM) is one of the world’s leading suppliers of precision winding machines in the fields of dyeing, weaving, and sewing thread preparation and enjoys success in individual segments of yarn production. SSM is part of RIETER Groupe and comprises the companies SSM Schärer Schweiter....

Predictive Maintenance für Liftanlagen

Ausgangslage Heute Lift AG: Kundenseitig tauchen immer wieder Fragen auf bezüglich der Notwendigkeit einer Wartung der Aufzugsanlage. Viele Kunden verstehen nicht warum „so viele“ Wartungen notwendig sind, warum diese Wartungen so „teuer“ sind und wer diese Wartungen vorschreibt. Zum einen ist die Liftbranche in der Schweiz mit der stetigen Anpassung und Harmonisierung an die Europäischen....

Improving data harvesting/collection for AgFlow by leveraging Natural Language Processing (NLP) and Machine Learning (ML) techniques

Requester: AgFlow S.A. (AgFlow) Anyone following agricultural commodities currently has no other choice but to source key market information from data lakes of news articles, reports, or analyses that come in many different formats and require much effort to process. AgFlow is changing how the industry gets access to crucial market information by harvesting various....

Daten-basierte Services im Maschinenbau

Wie können die erhobenen Daten für Services v.a. im predictive Maintenance Bereich genutzt wer-den? Wie kann darauf aufbauend ein Service System entwickelt und operativ effizient betrieben werden, um Wert für die Kunden (value creation) und die Anbieterin (value capturing) zu schaffen?

Reimagine the access to technical documentation with the support of artificial intelligence

Many manufacturers own miscellaneous inventory product documentation in need of supply to their customers and users. For an efficient retrieval in a content delivery system (CDS), these documents should be first labeled with respect to classification standards relevant for a given industry. However, due to the lack of resources in Technical Editing departments, this classification....

INSIGHTS APP - Collective Intelligence-based Leadership and Ideation Service

Requested support: We are looking for support to develop a collective intelligence-based idea collection/crowd rating and leadership service. For this, we require competency in statistical analysis, in the development of app interfaces for such services on given IT infrastructure, as well as in the design of public management services.

Create synthetic data using cutting-edge deep learning

Challenge: We live in a data driven generation where big data, data mining and artificial intelligence are revolutionizing the ways we obtain value from data. The challenge is that both, private companies and public entities, have no way to easily share this data internally or externally. The main hurdles are: Compliance laws Fears of data....

Extended Geospatial Data Cube

Extended Geospatial Data Cube- searching for project partners Geospatial data are widely used as explanatory variables for large-scale data analysis and modeling. Many data sources are available today, some of them with high spatial or even temporal resolution and impressive data quality. However, the potential of using these sources is underachieved. Possible reasons are data....

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