SciTransfer
GLOMICAVE · Project

AI Platform That Connects Genetic Data to Meat, Fruit, and Crop Quality

foodTestedTRL 6
glomicave.eu

Imagine you run a livestock or fruit business and you've got mountains of biological data — DNA sequences, protein profiles, metabolic readings — but each dataset sits in its own silo and nobody can connect the dots. GLOMICAVE built a cloud platform that pulls all those biological layers together, adds what's already known from published science, and uses AI to spot patterns humans would miss. Think of it like a search engine for biology: you ask "why does this cattle breed produce tougher meat?" and it cross-references genetics, proteins, and environment data to give you an answer. They tested it on real problems in livestock, fruit growing, and wastewater treatment.

By the numbers
3
industrial sectors validated (livestock, agro-biotech, environment)
6
business cases used for platform validation
16
consortium partners across the project
6
countries represented in the consortium
5
industry partners involved in development and testing
5
SMEs participating in the consortium
14
total project deliverables produced
The business problem

What needed solving

Companies in livestock, agriculture, and environmental sectors are generating massive amounts of biological data — genomics, proteomics, metabolomics — but each dataset lives in isolation. Without a way to cross-reference these data layers against each other and against published scientific literature, businesses miss the patterns that explain why certain breeds produce better meat, why some plant varieties grow faster, or which microbial communities clean wastewater most efficiently.

The solution

What was built

A cloud-based multi-omics data integration platform including: a consolidated data lake with plug-ins and curation mechanisms, a knowledge graph for storing experiment metadata, an Open API for connecting external tools, and a web-based interface for collaborative data curation. The platform was delivered as a pre-operational beta release with installation guidelines.

Audience

Who needs this

Cattle breeding companies wanting to link genetics to meat qualityFruit producers optimizing varieties for quality and growthWastewater treatment operators improving phosphorus recoveryAgricultural biotech firms integrating multi-omics lab dataBioenergy producers optimizing microbial processes
Business applications

Who can put this to work

Livestock & Meat Production
mid-size
Target: Cattle breeding companies and meat processors

If you are a livestock company struggling to connect genetic testing data with actual meat quality outcomes — GLOMICAVE developed a cloud-based multi-omics platform validated across 6 business cases that integrates DNA, protein, and metabolic data to identify which genetic traits drive meat quality. The platform was tested with 5 industry partners across 3 industrial sectors, meaning real breeding and production data informed its design.

Agri-Tech & Fruit Production
SME
Target: Fruit growers and agricultural biotech firms

If you are a fruit producer or agri-biotech company trying to understand why certain plant varieties grow better or produce higher-quality fruit — this project built a data lake and knowledge graph that combines plant genomics with growth and quality data. The platform includes an Open API for connecting your existing lab systems and was validated with industrial partners across 6 countries.

Environmental & Wastewater Treatment
enterprise
Target: Wastewater treatment operators and bioenergy producers

If you are a wastewater treatment or bioenergy company looking to optimize phosphorus removal and recovery using biological processes — GLOMICAVE's platform can integrate microbial genomics data with process performance data to identify which microbial communities drive better treatment outcomes. The platform was built by a consortium of 16 partners including 5 research organizations with environmental assessment expertise.

Frequently asked

Quick answers

What does the platform actually cost to use?

Based on available project data, pricing details are not disclosed. The platform was developed as a pre-operational beta release under EU research funding. Licensing or subscription terms would need to be discussed directly with the coordinator, Fundació Eurecat in Spain.

Can this handle industrial-scale datasets from our operations?

The platform was designed for large-scale omics experiments and relies on Big Data Analytics and cloud-based infrastructure. It includes a consolidated data lake with plug-ins and an Open API for data interaction. Based on the deliverables, it was built to handle both pre-existing massive omics datasets and new experimental data.

Who owns the intellectual property and can we license it?

The project was funded as a Research and Innovation Action (RIA), so IP is typically shared among the 16 consortium partners. Fundació Eurecat, the coordinator, would be the primary contact for licensing discussions. The Open API deliverable suggests at least some components were designed for external access.

How does this integrate with our existing lab information systems?

GLOMICAVE specifically built an Open API to facilitate data interaction with external analytical services. The data gathering mechanisms include a web-based interface for collaborative data curation and the ability to link datasets to shared internal or external identifiers. This suggests it was designed with system integration in mind.

Was this actually tested with real companies or just in a lab?

The platform was validated in 3 different industrial sectors — livestock, agro-biotechnology, and environment — across 6 business cases. The consortium includes 5 industry partners and 5 SMEs, representing 31% industry participation, which indicates real-world testing with commercial entities.

What's the timeline to get this operational in our facility?

The project delivered a pre-operational consolidated platform as a beta release, with installation guidelines included. Based on available project data, it is not yet a turnkey commercial product. Deployment timeline would depend on your specific data infrastructure and the scope of customization needed.

Consortium

Who built it

GLOMICAVE's 16-partner consortium spans 6 European countries (Belgium, Germany, Denmark, Spain, France, Portugal) with a balanced mix: 5 industry partners, 4 universities, 5 research organizations, and 2 other entities. The 31% industry ratio and 5 SMEs signal that commercial relevance was built into the project from the start, not bolted on afterward. The coordinator, Fundació Eurecat, is a Spanish technology center — not a university — which typically means stronger focus on technology transfer and market readiness. For a business considering this platform, the mix of biological domain experts and data/AI specialists across multiple countries suggests the platform was stress-tested against diverse data standards and use cases.

How to reach the team

Fundació Eurecat (Barcelona, Spain) — a technology center, likely has a tech transfer or business development office

Order a report on this consortiumSee FUNDACIO EURECAT profile →
Next steps

Talk to the team behind this work.

Want an introduction to the GLOMICAVE team to discuss licensing the platform or running a pilot with your data? SciTransfer can arrange a direct meeting with the right technical contact.

Order a report on this topicMore in Food & Agriculture
More in Food & Agriculture
See all Food & Agriculture projects →
Portable Device Detects Beer Contamination at the Tap in Minutes, Not Days
INISH MINI-BAR
Open →
Automated Smart Traps That Monitor Crop Pests Remotely and Cut Insecticide Use
Trapview
Open →
Next-Generation Ice Machines That Keep Seafood Fresher, Longer, With Less Waste
nanoICE
Open →