KITT4SME · Project

Ready-Made AI Kits That Help Small Manufacturers Automate Production

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Imagine you run a small factory and you keep hearing that AI could improve your quality control or cut waste — but every solution on the market is built for big corporations with big budgets. KITT4SME built a plug-and-play platform where small manufacturers can pick the exact AI modules they need — smart quality checks, robot coordination, sensor analytics — like choosing apps from an app store. It connects to the machines and software you already have, so you don't need to rip out your existing setup. Three Digital Innovation Hubs across Europe are ready to help companies get started.

By the numbers

consortium partners across Europe

countries represented in the consortium

SMEs directly involved in development and testing

70%

industry ratio in the consortium

project deliverables produced

Digital Innovation Hubs in the consortium for distribution

The business problem

What needed solving

Most small and mid-size manufacturers know AI could improve their quality, cut waste, and optimize production — but off-the-shelf AI solutions are built for large enterprises with big IT teams and bigger budgets. SMEs are left choosing between expensive custom projects or doing nothing. They need affordable, plug-and-play AI that works with the machines and software they already have.

The solution

What was built

A modular digital platform built on FIWARE infrastructure and the RAMP marketplace, offering customizable AI kits for smart quality control, process optimization, and human-factory interaction. The project delivered 47 deliverables including lighthouse demonstrators validated in real SME production environments.

Audience

Who needs this

Small CNC machining and metalworking shops looking to reduce defect ratesPlastics and injection molding SMEs struggling with process variabilityFood packaging companies needing automated visual inspectionAny manufacturer with 20-250 employees considering their first AI adoptionDigital Innovation Hubs looking for proven AI tools to offer their SME members

Business applications

Who can put this to work

Metalworking & Precision Parts

SME

Target: Small CNC machining shops with 20-100 employees struggling with defect rates

If you are a precision parts manufacturer dealing with inconsistent quality and high scrap rates — this project developed modular AI kits for smart quality control that plug into your existing MES and ERP systems. The platform uses IoT sensors and data-driven modules built on FIWARE infrastructure, so you don't need a custom IT project. With 13 SMEs already testing these kits across 9 countries, the technology was validated in real factory conditions.

Plastics & Injection Molding

SME

Target: Mid-size plastics manufacturers looking to optimize production cycles

If you are an injection molding company dealing with process variability and unplanned downtime — this project built AI modules for process optimization that read data from your factory floor sensors and robots. The platform lets you pick only the modules you need, avoiding expensive all-or-nothing digital transformation. The lighthouse demonstrators proved these kits work in real production environments with real SME constraints.

Food & Beverage Packaging

SME

Target: Small packaging lines needing automated visual inspection

If you are a packaging company dealing with manual inspection bottlenecks and missed defects — this project created customizable AI-powered quality control kits that work with cameras and sensors on your existing line. The RAMP marketplace makes these modules available without needing an in-house AI team. Digital Innovation Hubs represented in the 20-partner consortium can guide your adoption step by step.

Frequently asked

Quick answers

How much does it cost to adopt the KITT4SME platform?

The platform is designed as modular kits so you only pay for what you need, avoiding the cost of full-scale enterprise AI. Pricing details for individual modules are not published in the project data. Contact a Digital Innovation Hub in the consortium network for a tailored cost estimate.

Can this work at industrial scale in my factory?

Yes. The platform was built specifically for real factory conditions, integrating with existing MES, ERP, IoT sensors, and robotic systems via FIWARE infrastructure. Lighthouse demonstrators validated the kits in actual SME production environments across 9 countries with 13 SME partners.

Who owns the IP and how is it licensed?

Based on available project data, the platform builds on the existing RAMP marketplace and uses FIWARE open standards. Specific licensing terms for individual AI modules depend on each technology provider in the 20-partner consortium. Contact the coordinator for licensing details.

How long does it take to deploy?

The modular design means you don't need a full digital transformation — you select the kits relevant to your problem and plug them in. Based on available project data, deployment timelines vary by module complexity, but the design goal is rapid uptake by companies without dedicated AI staff.

Does this integrate with my existing factory software?

The platform is built on FIWARE infrastructure specifically to connect with factory systems like MES and ERP, plus IoT sensors, wearable devices, robots, and collaborative robots. This means you keep your current setup and add AI capabilities on top.

What support is available after the project ended?

Three Digital Innovation Hubs are represented in the consortium to ensure wide distribution and adoption support across Europe. The RAMP marketplace continues to host the platform components. Based on available project data, ongoing commercial support depends on individual technology providers.

Is this compliant with data sovereignty regulations?

Data sovereignty is one of the project's core design principles, listed among its key focus areas alongside process optimization and smart quality control. The platform was designed so SMEs keep control of their factory data while still benefiting from AI-driven insights.

Consortium

Who built it

This is a heavily industry-driven consortium: 14 out of 20 partners come from industry, and 13 are SMEs — giving it a 70% industry ratio that's unusually high for EU projects. The mix spans 9 countries (CH, DE, EL, ES, FI, HR, IT, LU, PL), with the coordinator based in Switzerland. Having 3 Digital Innovation Hubs in the consortium is a strong distribution advantage, as these hubs serve as on-the-ground adoption accelerators for local manufacturers. The presence of only 2 universities and 3 research organizations confirms this project is about getting technology into factories, not about basic research. For a business looking to adopt these AI kits, the consortium composition signals mature, industry-tested solutions with built-in support channels.

SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANACoordinator · CH
ART-ER-SOCIETA CONSORTILE PER AZIONIparticipant · IT
EUROPEAN DYNAMICS ADVANCED INFORMATION TECHNOLOGY AND TELECOMMUNICATION SYSTEMS SAthirdparty · EL
HOLONIX SRLparticipant · IT
INOVACIJSKI CENTAR NIKOLA TESLAparticipant · HR
TEKNOLOGIAN TUTKIMUSKESKUS VTT OYparticipant · FI
EUROPEAN DYNAMICS LUXEMBOURG SAparticipant · LU
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICASparticipant · ES
WAMTECHNIK SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIAparticipant · PL
POLITECHNIKA WARSZAWSKAparticipant · PL
ERRE QUADRO SOCIETA A RESPONSABILITA LIMITATAparticipant · IT
ROVIMATICA SLparticipant · ES
ERANEOS ANALYTICS GERMANY GMBHparticipant · DE
R2M SOLUTION SRLparticipant · IT
CRIT CENTRO DI RICERCA E INNOVAZIONE TECNOLOGICA SRLparticipant · IT
MARTEL GMBHparticipant · CH

How to reach the team

The coordinator is SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA in Switzerland. SciTransfer can facilitate an introduction to the right technical contact.

Order a report on this consortium See SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA profile →

Next steps

Talk to the team behind this work.

Want to find out if KITT4SME kits fit your production line? SciTransfer can arrange a technical briefing with the right consortium partner for your specific manufacturing challenge.

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