KITT4SME prepares, executes and evaluates the validation activities in 4 selected piloting environments: Injection moulding sector, quality system sector, high precision hand tools and instruments sector and electrical equipment sector. The main objectives of the activities of these pilots are:

  • To define a commonly agreed planning and methodology, that helps each pilot in preparing the human and physical resources to be engaged for the validation, in identifying and measuring KPIs, in executing the experiments and extracting valuable results
  • To execute early validation exercises, on preliminary prototypes of the solutions and evaluate usability
  • To execute the validation in 4 different pilots and for each one to elicit specific outcomes, feedback to improve the evaluated tools, identifying strength and weakness
  • To abstract the results into general ones and create lessons learnt that will be used to improve that platform offer

Injection moulding sector

The market is very wide and includes finished products, semi-finished products and components, cosmetic or technical, for many different applications. Pilot demonstration targets a work cell equipped with a 500-tons injection moulding press to produce heavy plastic components through a multi-step production process involving two operators. This work cell currently does not adopt any automation system, such as robots, leaving to human operators the effort to handle such heavy items and to manage the complex production process. KITT4SME introduces extrinsic and intrinsic job variations in the work cell by dynamically assigning tasks to operators, cobot or Cartesian robot specifically installed in the KITT4SME’s upgraded work cell.

SME: GHEPI (IT); Coach: CRIT (IT); Technology providers: HOL (IT) and SUPSI (IT)

Quality system sector

High precision has to be combined with flexibility to carry out the controls for a high variety of products, moving towards a machine-as-a-service model to replace the traditional business model based on the sale of the machine. AI algorithms can be applied to reduce the resources dedicated to assist customer’s operators in systems configurations, potential human errors, errors due to a non-optimal configuration of the acquisition infrastructure.

SME: DIMAC (IT); Coach: HOL (IT); Technology providers: R2M (IT)


High precision hand tools and instruments sector

The production processes are mainly manual. To produce these items, different production activities involved. The last process before packing is finishing, a manual intensive process that significantly impacts on both production costs and product quality thus, emphasizing challenges in quality control and knowledge management. KITT4SME platform faces both challenges by introducing AI-based quality control in the finishing step and by establishing a process to identify and characterize the process best practices combining different data sources.

SME: I-TEK (CH); Coach: SUPSI (IT); Technology providers: ROVI (ES) and GINKGO (IT)


Electrical equipment sector

Despite high commonality of products, portfolio is extensive, diverse and changeable. Exposure for failures and disruptions is high. Ensuring quality and delivery at satisfactory levels under VUCA (Variability, Uncertainty, Complexity, Ambiguity) conditions requires Zero-Defects, Zero-Breakdowns and easy reconfigurability. KITT4SME tools will be used to tackle two scenarios: intelligent quality control and intelligized reconfiguration.

SME: WAM (PL); Coach: WUT (PL); Technology providers: GINKGO (IT) and SUPSI (IT)

The resolute belief that SMEs have full potential to be at the centre of a technology- and data-driven renaissance of the European industrial sector brings KITT4SME to embark on a large-scale piloting journey. The resulting platform is then pushed to its limits by offering it to external actors through open calls meant to populate its marketplace, expand its visibility and adoption and, in the end, ensure that the business potential standing behind this technological breakthrough is translated into accessible value for people and companies.

Two rounds of open calls are foreseen: the first one addresses technology providers to enrich the platform offer; the second one is meant to set up experiments combining technological providers and SMEs AI adopters. An evaluation framework will be released, with a set of technical and business KPIs to be used for the evaluation of the open calls results and for the collection of feedback from open calls winners that could contribute to the evolution of the platform. The open calls will be open for 2 months each.


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