SciTransfer
VCG · Project

AI-Powered Platform to Turn Industrial Waste into Profitable Raw Materials

digitalTestedTRL 5

Imagine a digital matchmaker for factories. It looks at the waste one company produces and finds another company that can actually use it as a resource. Instead of throwing things away, the system uses AI to map out a new, profitable way to keep materials moving in a loop.

By the numbers
4.5 trillion EUR
Business opportunities from circular economy
6 million
High value-added jobs
39%
Potential global GHGE reduction
172%
ROI for a mid-sized brewery
100 million tons
Residuals valorized by 2032
64 million tons
CO2 savings by 2032
600%
Maximum potential ROI
The business problem

What needed solving

Companies struggle to transition from linear waste models to circular ones because they cannot find the right partners or technologies to repurpose their industrial residuals.

The solution

What was built

A deep tech cloud platform featuring a Discovery module for residual uptake pathways and BioLink models for value chain blueprints.

Audience

Who needs this

Industrial waste producersWaste-to-resource technology providersSustainable raw material buyersCircular economy consultants
Business applications

Who can put this to work

Brewing
mid-size
Target: Mid-sized brewery

If you are a mid-sized brewery dealing with 42 million tons of Brewers Spent Grain — this project developed an AI platform that turns this by-product into raw materials for bioplastics or fuels, potentially offering a ROI of 172%.

Automotive
enterprise
Target: Vehicle manufacturer

If you are a vehicle manufacturer dealing with high demand for sustainable bioplastics — this project developed a discovery tool that matches you with industrial residual producers to secure a circular supply chain.

Energy
any
Target: Biofuel producer

If you are a biofuel producer dealing with unstable raw material sourcing — this project developed BioLink models that identify validated pathways to transform industrial waste into energy fuels.

Frequently asked

Quick answers

What is the cost or pricing model for using VCG?

Based on available project data, the specific pricing or cost structure for the cloud platform is not mentioned.

Can this be scaled to a global industrial level?

Yes, the platform is designed to enable the exchange of residuals between millions of companies and aims to valorize over 100 million tons of residuals by 2032.

How is the intellectual property or licensing handled?

Based on available project data, there are no specific details regarding IP licensing or patent filings.

How does this help with environmental regulations?

The platform helps companies adhere to ambitious environmental goals by reducing CO2 emissions, with a potential for 64 million tons of savings by 2032.

How is the platform integrated into existing business processes?

It operates as a deep tech cloud platform that uses AI and big data to design circular value chains in real time.

Consortium

Who built it

The project is led by a single German SME, VCG.AI GMBH. With a 100% industry ratio and no university or research partners, the project is lean and focused on commercial software delivery rather than academic exploration.

How to reach the team

Contact VCG.AI GMBH in Germany

Next steps

Talk to the team behind this work.

Contact us to find partners for the upcoming piloting phase.