About

Noesis Technologies has been established in 2019 aiming to further develop and integrate innovative RTD solutions based on AI,Robotics, DSS, 3D visualization and Digital Twinning technologies, for SMEs, industry and local governments. As an early stage startup, Noesis is developing its smart technology solutions & services as a result of EU H2020 and Horizon Europe research RTD projects in collaboration with global technology providers and strategic partners. Key areas of interest for its RTD activities include: •Smart Manufacturing •Cultural Heritage •Advanced Materials •Renewables & Construction •Smart Cities •Healthcare •Cybersecurity

Solution & Product

Noesis Technologies is developing an intelligent machine vision solution called smart quality monitoring and control system (Smart-­‐QMCS), primarily for the Additive Manufacturing market. Prototype Smart-­‐QMCS makes use of Machine & Deep Learning models and algorithms for in-­‐line process monitoring, by quickly acquiring, processing and interpreting high-­‐resolution stereoscopic images of extruded (3D printed) resin material, further controlling in real-­‐time a robotic arm to adjust or discard faulty parts and address current challenges in Additive Manufacturing processes, thus improving overall product and process quality, while at the same time minimizing production lead times and material waste. In addition to Additive Manufacturing, NOESIS’s intelligent machine vision solution (Smart-­‐QMCS) could be further customized to address complementary manufacturing industries to solve and support their quality monitoring and control issues, mostly in discrete and high value manufacturing sectors, such as Automotive, Aerospace, Shipbuilding, Renewable Energy, Machine Tools, etc. The Smart-­‐QMCS solution has been initially developed, validated and demonstrated at industrial settings, as part of H2020 project KRAKEN (https://krakenproject.eu/), where NOESIS has participated as a technology developing partner, by designing, integrating and testing its machine vision solution on a robotic arm fixed to a large area moving crane system with the robot handling.

Innovation & Scalability

NOESIS’s Smart-­‐QMCS solution has already been very innovative in the design and construction of its stereoscopic multiple camera machine vision system, as well as in its fast image processing software algorithms. Now, as part of its further market exploitation commitment, NOESIS is further extending its product innovation by incorporating machine learning and deep learning algorithms into its Smart-­‐QMCS solution for becoming directly competitive with more advanced related solutions and support a more extensive set of manufacturing industries, further to additive manufacturing. This will provide a major competitive advantage versus many existing competing solutions. Of course, further and continuous effort and investment will be required to scale up and expand the list of clients and markets. Moreover, for the business model to become more competitive and innovative, NOESIS will expend its product competitiveness by developing a Smart-­‐QMCS Cloud Platform, where all relevant client manufacturing processes will be connected, remotely monitored and where applicable controlled, a functionality which is adding significant value to its offering and consequently could become a game-­‐changer to its competitiveness. On the scalability side, we intend to accelerate our platform product development plans, aiming to support multiple clients remotely and further integrate our solution with 3 rd party software platforms such as ERP and MES solutions.

Traction & achievements

NOESIS has achieved some critical milestones in product and commercial development. Further to the initial Smart-­‐QMCS system prototype, it has made an agreement with Noesis Technologies to further develop in collaboration the solution and embed machine and deep learning algorithms and models, accommodating faster and more accurate industry requirements. It will further improve its relation with leading AI Cloud platform service providers, such Microsoft Azure and AWS. Achieving a quailfied system/application developer status within their ecosystem, will provide a huge boost in the visibility accreditation of NOESIS’s solution towards its targeted clientele. This is scheduled to take place within the next couple of years and is another major milestone to be achieved. At the same time, NOESIS has started to pilot Smart-­‐QMCS system implementations with various industrial clients in order to test, validate and improve the performance of its solution. Three (3) such contracts with industrial companies have been signed for pilot implementation within this year, with more expected immediately after. Finally, NOESIS is planning to collaborate closely and become a system integrator for ERP (Enterprise Resource Planning), MES (Manufacturing Execution System) and ROBOT/COBOT system providers in order to integrate its solution with their platforms for industrial clients. One (1) such contract with a COBOT/AMR systems provider has already been signed in that end.

Team & Why Us

The core team consists of members covering the different key disciplines and aspects required for a solid business and commercial venture initiation and support. Specifically, the teams consist of Mr. Dimitrios Karadimas, with more than 30 years experience in senior technology and business development management positions in multinational industries and SMEs, who is the Co-­‐founder, CEO and main business developer for NOESIS, responsible for the assessment and follow-­‐up of new business opportunities and attraction of capital investments. The team is complemented by Dr. Anastasia Vassilakopoulou, Co-­‐founder, Chief Research Officer (CRO) and responsible for acquiring breakthrough EU and national research projects and further developing Noesis’ key technological expertise. Moreover, two additional key members of the team are related to IT application development and manufacturing engineering. Mr. Dimitris Bakalbasis, an experienced IT systems development expert and and Mr. Alexandros Prassas, a qualified mechanical engineer with significant experience in electrical & mechanical manufacturing systems design and implementation are complementing the core team, adequately covering the necessary roles for initiating and supporting a successful technology startup venture.

Funding Needs

NOESIS will adopt, both, a licensing and a B2B SaaS/PaaS business model. In due time and in close collaboration with major Cloud Servise providers Noesis shall be ready to offer Smart-­‐QMCS SaaS/PaaS Platform services, targeting mainly manufacturing SMEs.