Suchen Sie sich die Experten aus, mit denen Sie ein Treffen wünschen:

Suchen Sie sich die Start-ups aus, mit denen Sie ein Treffen wünschen:Erstellen Sie Ihre eigene individuelle Meeting Liste mit den Startups vor Ort basierend auf den folgenden kurzen Profilen der teilnehmenden Startups.Sie können bis zu n Start-ups auswählen, indem sie die Kästchen ankreuzen und uns dann Ihre Auswahl bis zum DD.MM.YYYY über wolfgang.kniejski@eitmanufacturing.eu mitteilen.Während des Events werden die Start-ups vor den individuellen Meetings ihre Use Cases präsentieren.

▪ Conductiv.aiFutureFab ▪ Guaranteed B.V.▪ AR Experts by GIRI▪ Oculavis

▪ Ondosense▪ Smart Factory▪ Tvarit▪ Visometry

Suchen Sie sich die Experten aus, mit denen Sie ein Treffen wünschen:

Please choose the startups that you would like to meet and create your own individual meeting list with the startups on sitebased on the following short profiles of the participatingstartups.

You can meet startups through the B2B matchmakig facilities in https://aaic2021.b2match.io/ or by requesting meetings via email to: wolfgang.kniejski@eitmanufacturing.eu.

During the event, the startups will present their use cases before theindividual B2B meetings with you.

Vienna (online)

Awesome TechnologiesD-CubeDENKweitLexaTexernebumind

Nightingale HQOndoSense GmbHProbilitySmart FactoryTvarit

Please choose the startups that you would like to meet :

May 27th 2021: 14:00 – 17:00B2B Networking Session

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Awesome TechnologiesCollaborative robots (cobots) and driverless transport systemsenable progress in the digitization of production systems and aretherefore an essential part of a “smart manufacturing” approach. With Robotics-as-a-Service, we offer companies the opportunity toquickly start using modern robotic systems and generate directeconomic benefits.

Our experts accompany customers from the idea to implementationand operation. The joint on-site context analysis is accompanied bya profitability analysis taking into account new trends in robotics. This enables a scalable and sustainable concept for the integrationof cobots and AGVs.

Comprehensive range of robotic technologies: easy to use, modularly expandable and scalable. The focus is on people thanksto improved s.ensors, visualization and data availability

Target customers are companies with complex work steps in production and assembly that could not previously be automated. Small and medium-sized companies, DACH area.

Number of Employees: 24Core competencies: Innovative solutions for the production ofthe future with extensive expertise in the areas of collaborativerobotics (cobots, AGV), AR / VR, visualizations, newdevelopments in research, telemedicine and agile managementmethods

Technology Readiness Level (TRL): >8In the area of Industry 4.0, the company offers solutionsfor the automation of complex work steps.

Status: Company has successfully implemented severalcustomer projects, including: Caritas, State of Hessen and SMEs in the manufacturing industry.

Focus: partners and customers in the field of Industry 4.0, collaborative robotics (cobots and AGVs)

www.awesome-technologies.de; https://awesome-technologies.de/robotics-as-a-service

Location: Würzburg, GermanyLegal form: GmbH (limited liability corporation)

AAIC - Applied AI Conference 2021

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D-CubeHigh scrap rates. Unnecessary downstreaming processing. Claims and returns. The solution: Extrusion 4.0 and Stone 4.0 AI systems perform real-time surface inspection, tailored for the needs of Aluminium Extrusion and Stone processing respectively.

Disruptive computer vision and AI technologies combined to offer (i) Non-Stop Yield Optimization. (ii) Scrap Reduction. (iii) Material Saving. (iv) Industry-tailored solution.

Highly accurate and robust detections due to AI models. Near real time remote production monitoring. Low level production insights and statistics. Best value for money on the market. Customer-centric approach. Tested, Validated and Operating in production environment for more than two years.

Aluminium extrusion & Natural stone processing industries

Number of Employees: 10Background: Spin-off company of the Visual Computing Lab of CERTH/ITI

Core Competencies: Computer Vision, Machine Learning,AI, IIoT, Software Development, System Integration

Technology Readiness Level (TRL): TRL 7-9Patents: N/A

Status: Scaling up – successful pilot projects and installations in production in Balkan countries, within the EU

Focus: Strategic Partners in EU countries, Access to new customers, Smart Investors

https://www.d-cube.eu/https://www.d-cube.eu/solution/extrusion-4-0/https://www.d-cube.eu/solution/stone-4-0/

Location: Thessaloniki, GreeceLegal form: Private CompanyEstablished July 4th, 2016

Applied AI Conference 2021

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DENKweit GmbHProduction: Around 70 % of products in mass production are inspected by human visual inspection, which is error-prone and expensive. In order to compete and to reduce costs this manual vision has to be fully automated.Machine producer: Core product is an imaging process of any kind of sensor. Therefore, a strong need for flexible and cost-effective image evaluation is present which (i) has high performance, (ii) is easy to use without any hardware or know-how and (iii) can be also passed over to own customers if necessary.

Our solution is a platform technology where you can generate high quality image analysis with several clicks and few images (seehttps://youtu.be/DVxgKvuRlGA). With our partners we offer a complete solution from training to integration in production.

1. Few sample data required (from 12 pieces - 100 highest performance)2. Platform technology with easy access and low cost3. Highest performance – technology leader4. Free demo phase

Prio 1: Automation and camera manufacturers who need image evaluation for their customersPrio 2: Companies who want to replace manual visual inspectionPrio 3: Drones, vehicles, image platforms etc.

Number of Employees: 16Background: Fraunhofer CSP

Core Competencies: Vision AI, Mathematics, Physics

Technology Readiness Level (TRL): >9Patents: 1

Status: Scale Up, In Market

Focus: We are searching for partners and customers

www.denknetze.comhttps://youtu.be/DVxgKvuRlGA

Location: Halle, GermanyLegal form: GmbH

Applied AI Conference 2021

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LexaTexer – Enterprise AI-IoTThe manufacturing industry is undergoing a substantial transformation due to the proliferation of new digital and ICT solutions. Digitizing operations in combination with AI driven real time analytics (AI-IoT) promises a substantial increase in efficiency (OEE) for operators while increasing quality at the same time. However, to actually generate value from data driven solutions and sensor fusion, a number of issues need to be addressed and solved, i.e. lack of [high quality] data, fast solution integration, scaling.

LXTXR is an AI-IoT, data driven software-hardware platform to build, validate and scale enterprise AI-IoT applications. LXTXR provides out-of-the box essential functionalities to build and scale AI-IoT solutions, like integration of sensors data, integration into legacy systems, AI driven analytics, security, compliance and scalability. LXTXR provides the analytics and the sensors needed to generate measurable ROI.

Turn-key solutions with domain specific knowledge, fast roll-out, platform integrated sensors, no-data-no-problem solutions for energy use cases.

Our customers include the manufacturing, energy, supply chainverticals. Currently serving customers in Germany, Austria, Switzerland, UK, Singapore.

Number of Employees: 7Background: AI, big data, manufacturing, production, energy, utilities.Core Competencies: LexaTexer is high performanceplatform technology to build, test, integrate, scale, AI and data driven solutions fast.

Technology Readiness Level (TRL): 8-9Operational in manufacturing, energy and otheroperations

Status: customers in Germany, Austria, Switzerland, UK, Singapore

Focus: access to new use cases and clients, potential co-development

www.lexatexer.com

Location: Berlin, GermanyLegal form: GmbHEstablished: 2017

Applied AI Conference 2021

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nebumind GmbHQuality defects and related costs account for 10-20% of productioncosts. The more automated production becomes, the lesstransparent the process steps become. Errors are only traced back with considerable additional effort and are often accepted as"given". With increasing automation, the subject of qualitymanagement is becoming more explosive in production. This helpsmanufacturers to reduce scrap, to avoid repair and to reduce testingfor new machines and products

A Quality 4.0 concept is required that systematically records and evaluates information. This is exactly where the nebumind softwarecomes in: It compiles machine and sensor data for the entireproduction of a product in a meaningful way, visualizes the data as"digital component twins" and makes them evaluable at any time -in order to track errors, detect errors online and run productionmachines faster.For the first time, manufacturers can monitor and optimize productquality across all manufacturing processes with only one toolenabling:Simple & very fast defect analysis; Quality monitoring along entireproduction chain; Shorter testing period when introducing newmachines or products.Productions with high quality requirements, e.g. aerospace, automotive, medical technologyComplex manufacturing processes with many influencing factors, e.g. 3D printing, milling, welding, gluing

Number of Employees: 6

Core Competencies: With nebumind, we want to put European manufacturing companies back into the driving seat.

Technology Readiness Level (TRL): >8Patents: pending

Status: By implementing digital tools - such as thenebumind software – and learning from data generatedduring manufacturing, we want to strengthen theirexpertise and help them to keep the lead in manufacturing knowhow.

Focus: PoCs, Collaboration, ImplementationAccess to new clients

Website: https://www.nebumind.com/https://www.youtube.com/watch?v=lSTYSaDtcnc&t=16shttps://www.youtube.com/watch?v=k5XFtUwfGq8&t=8s

Location: Munich, GermanyLegal form: GmbH (limited liability corporation)

AAIC - Applied AI Conference 2021

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Nightingale HQOur GoSmarter platform helps manufacturers to adopt AI easily and improve digital operations fast.Eroding profit margins are leading manufacturers to digitally transform, adopting technologies like AI. Our GoSmarter platform offers AI-powered tools and support services to improve operational processes where it's needed most.GoSmarter tools - no-code interfaces, you can customise each tool to your needs without any coding skills required! And because all of our tools deploy into your cloud environment, IT retains complete control over spend and compliance. It doesn’t get much better than this!GoSmarter services - fast-track services include In A Day workshops to accelerate the deployment of AI tools. Free up staff and increase process speeds while seeing tangible benefits for adopting it!

GoSmarter platform https://nightingalehq.ai/products/ lite MVP live here https://id.nightingalehq.ai/Account/Register for AI tools deployment and support services to accelerate this.

The GoSmarter platform helps manufacturers use AI to improve their business processes and profit margins fast. AI-powered suite of tools and services designed to help manufacturers optimise operational processes in the areas where they need it most – easy, scalable and fast.

Manufacturers across Europe with 100+ employees and £5m+ revenue. Our product improves operations so we can go after multiple sub-sectors within manufacturing.

Number of Employees: 6 Background: Cofounders: CEO & AI Expert Steph Locke and Ruth Kearney Commerical Director, Innovation expert

Core Competencies: AI, Data Science, Software Dev, Analytics, Cloud, Training, Sales, Design.

Technology Readiness Level (TRL): TR 6- 7 – lite MPV launchedwith 100 business usersPatents: No

Status: Bootstrapping and starting to raise funds. Revenue generating with recurring revenue, small customer base in UK and Germany with usecases published.

Focus: PoC and pilot project with manufacturers to demonstrateROI fast. Grow our own ecosystem of innovation and technolgy providers.

www.nightingalehq.ai/Steph Locke https://www.linkedin.com/in/stephanielocke/Ruth Kearney https://www.linkedin.com/in/ruthkearney/

Location: Cardiff, Wales.Legal form: Limited company , Established late 2018

Applied AI Conference 2021

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OndoSense GmbH

USP

First highly reliable IoT-capable Smart Motion Sensor with sub-millimeter precision for object identification, classification and intrusion detection.

Industrial robotics, especially collaborative robotics (cobots) & AGV / FTS. Target industries: automotive, electronics and metal processing.

Radar sensors (HW + SW + AI-Alg.) With 1 µm precision, can be used in close range up to 5 mm. Best value for money on the market. 50% productivity gain.

Collisions between machines and workers lead to accidents and production losses running into billions. The solution: "Pre Collision" sensors. However, currently available sensors do not offer 100% reliability.

Team

www.ondosense.comwww.ondosense.com/applikationen/smart_motion_radarsensorik_cobots

Productdevelopment

Technology readiness level (TRL): TRL 6-8

Focus: Cooperations and project partnerships; access to new customers

Status: Scaling up – successful pilot projects and initial implementations of solutions in Germany, within the EU and in the US

Patents: 2 (pending)

Number of Employees: 11Background: Fraunhofer IAF, University Freiburg, RWTH

Core competencies: Radar, SW development, Algorithmic & AI

Location: Freiburg, GermanyLegal form: GmbH (limited liability corporation)Established 2018

Applied AI Conference 2021

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By using optical sensors based on artificial intelligence, eachperson is protected from collisions independently ofadditional technical devices. Thus, the scalability of thesesystems is also not limited, as the system is not restricted in the number of devices that can be operated simultaneously.

First target industries: food, consumer goods and packagingindustries

Number of full time Employees: 6 Additional part time Employees / Students: 20

Background: TU Braunschweig, Open Hybrid LabFactory

Core Competencies: Image processing, Sensor development, AI

Technology Readiness Level (TRL): 5-7Patents: -

Status: Pilot project with a company from the food packaging industry, system implementation in August 2021

Focus: Finding new project partners and cooperations, acquisition of new customers

https://probility.dehttps://www.linkedin.com/company/probility/about/

Location: Braunschweig, GermanyLegal form: Not yet founded, Foundation in Q4/2021

Applied AI Conference 2021

Optical AI -Sensors

Located and connected forklift

Located person

Safe productionenvironments

36,000 accidentsbetween persons andtransport vehicles per year

Dangerous working environment, dissatisfied employees, low productivity

Employee absence after accident

Probility

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Smart Factory Solutions Ltd.

Based on more than 20 years of experience in the manufacture of fast moving consumer goods (FMCG), SmartFactory have developed an easy to deploy, out-of-the-box, scalable, IIoT platform that acceleratesdigital transformation for manufacturing companies and maximisesbusiness value. It uses wireless sensors and cutting-edge gatewaytechnology to securely connect to manual and automated processes tocapture, analyse and visualise KPI’s in real-time. We help companiesmove away from paper and spreadsheets and add intelligence into themanufacturing process by enabling real-time, data-based decision-making and promoting the sustainable use of resources, across all levels of an organisation.

Most of our existing customers are large multinationals, in themanufacture of medical devices and consumer goods and generallyhave multiple manufacturing sites around the globe.

Number of Employees: 14Background: Using wireless sensors and cutting-edge technology to capture, analyse and visualise KPI’s in real-time

Core Competencies: Design and implementation of data collection, analytics and visulisation systems and energy efficiency

Technology Readiness Level (TRL): TRL 9

Patents: n/a: the software has been developed in-house and all the IP is owned internally. Trademarks registered

Status: experience in the manufacture of fast-moving consumer goods (FMCG), medical devices, food and beverage and automotive/aviation; existing clients include Procter & Gamble, Danone, Johnson & Johnson, Stryker, Teleflex Medical, etc.

Focus: working with manufacturing companies that have a strong culture of operational excellence and recognize the benefits ofdigital transformation; keen to work with leading researchinstitutes, on the development of future technologies.

www.smartfactory.ie

Location: Cloughjordan, Tipperary, IrelandLegal form: Ltd.

Many manufacturing companies are still heavily dependent on spreadsheets and manual data collection systems to record theirproduction output and losses (especially scrap, rework, energy and utility consumption, etc.). Often the data is inaccurate or out of date. Analysis of the data is frequently time-consuming.

Most manufacturing companies are aware of the opportunities that Industry 4.0 presents. However, we know from experience, that manyof them are confused by the Smart Manufacturing Tower of Babel and the hype that has been created, by the marketing teams ofconsultants and technology providers.

The hype associated with digital transformation has created inertiaand there is a real disconnect between the technology promise and the business value that is created.

Applied AI Conference 2021

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Tvarit GmbHBased on the problem statements like:-• High scrap and poor quality, long cycle times, inefficient supply

chain management, (e.g., production planning, inventory levels).

The resulting needs are: • Real-time monitoring of production processes, • Predicting product quality, machine breakdowns, tool failures

and demand volumes for proactive measures, • Recommendations of prescriptive dynamic recipes for optimal

process parameters and process optimization.

Number of Employees: : 9 -full-time in Germany (in total 34 employees/freelancers in Germany and India).Background: customizable and ready-to-use data science and AICore Competencies: Industrial solutions for digital transformation to remove inefficiencies, prevent machine downtime & failure of equipment, stabilize quality and reduce scrap rate.

Technology Readiness Level (TRL): 9 - Actual system proven in operational environment (manufacturing)Patents: applications planned

Status: First key customers acquired in major markets (automotive and metal industry); increasing revenue with existing customers; Customer acquisition in similar industries.

Focus: Metal industry (e.g. steel and aluminium production), metal processing; metal casting processes (e.g. low-pressure die-casting, high-pressure die-casting), injection molding, chemical & process industry.

www.tvarit.com

Location:. Frankfurt am Main/GermanyLegal form: GmbH

• TVARIT industrial AI (TiA) with ready to use ML software solutions tailored for specific use cases (e.g., metal casting, injection molding, etc.).

• Optimize OEE, reduce scrap & downtimes.• Customized dashboards for actionable insights.• Comprehensible visualization of data science needs.• Industrial data science platform for fast and efficient

implementation with persistent quality.

• Effective implementation of industrial ML projects with most accurate models & data analytics.

• Expertise in domain and process understanding. • Flexible and customized working methodology.• Highly standardized data security.

• Manufacturing companies in DACH region from steel & aluminum production, automotive, machine builders and chemical industry.

Applied AI Conference 2021

AAIC - Applied AI Conference 2021

27 May 2021 in Vienna (online)

Let AI work for your business

For some time now, artificial intelligence has become a reality for companies in many differentindustry sectors. But there is still a lack of clarity about the technologies and specific use cases thathide behind this term. Artificial intelligence is basically a set of tools that companies now have attheir disposal – but companies often lack the necessary experience, and AI solution providers inmany cases do not possess the required domain knowledge to successfully implement AI inexisting processes and structures.

The Applied AI Conference focuses on the exchange between AI solution developers and users andhighlights real use cases in real companies. The AAIC is thus a starting point for the creation of AIstrategies, a source of inspiration for new business ideas, starting point for collaborations and amarketplace for new leads and projects around artificial intelligence.

Follow us for further details and information:Website: aaic2021.b2match.io

How do corporations embrace AI

Target groups

� Companies with an interest in or initial experience with innovative manufacturing solution with sustainable impact

� Entrepreneurs & executives successfully operating startup companies

� Decision makers in the field of corporate strategy and development or IT

Agenda

14.00 h: Welcome addresses14.15 h: Startups pitch their use cases15:25 h: Matchmaking guidelines15:30 h: Bilateral matchmaking meetings

B2B Connection and Lead Generation