If you are a nanomaterial manufacturer dealing with expensive and slow safety testing for each new product — this project developed a cloud platform and standalone software that uses AI to predict toxicity from a material's fingerprint. Instead of running every test in the lab, you screen candidates digitally first, cutting time-to-market and testing costs. The platform was demonstrated at TRL6 with OECD-style case studies.
AI-Powered Software That Predicts Whether Your Nanomaterials Are Safe Before You Manufacture
Imagine you're a company making tiny particles — for sunscreen, batteries, coatings — and before you can sell them, regulators want proof they won't harm people or the environment. Testing each one in the lab takes months and costs a fortune. NanoSolveIT built a cloud platform and standalone software that uses AI to predict whether a nanomaterial is likely to be toxic, based on its physical and chemical fingerprint. Think of it like a credit score for nanomaterials: instead of running every test manually, the software tells you which materials are probably safe, which need closer inspection, and which to avoid entirely.
What needed solving
Companies developing products with nanomaterials face a costly bottleneck: proving each material is safe for humans and the environment. Lab-based toxicity testing is slow, expensive, and required for every new formulation before it can reach the market. Without predictive tools, manufacturers either over-test (wasting money) or under-test (risking regulatory rejection and public safety).
What was built
The project delivered four key outputs: a cloud platform for nanomaterial safety prediction, a standalone open software application, a knowledge infrastructure API for data hosting and sharing, and AI-driven predictive models that use nanomaterial fingerprints to assess toxicity risk. In total, 48 deliverables were produced across the project's duration.
Who needs this
Who can put this to work
If you are a cosmetics company using nanoparticles in your products and struggling with regulatory safety documentation — this project built a decision support system that generates predictive safety assessments for nanomaterials. It groups materials by risk profile and supports safe-by-design development, helping you choose safer ingredients before committing to expensive reformulation and testing.
If you are a regulatory consultancy preparing nanomaterial safety dossiers and spending weeks compiling hazard data — this project delivered a knowledge infrastructure with an API that hosts and shares nanomaterial safety data. It aligns with OECD best practices and supports integrated testing strategies, letting you build stronger dossiers faster with AI-backed predictions from 28 partner institutions across 17 countries.
Quick answers
What would it cost to use this platform?
The NanoSolveIT cloud platform was developed as open software. Specific licensing or subscription costs are not detailed in the project data. Contact the coordinator NovaMechanics (Cyprus) for current pricing and access terms.
Can this handle industrial-scale screening of many materials at once?
The platform was designed as a cloud-based decision support system with an API, which suggests it can handle batch processing of multiple nanomaterials. It was tested and demonstrated at TRL6 via OECD-style case studies. Based on available project data, industrial-scale throughput specifics would need to be confirmed with the development team.
Who owns the IP and can I license this technology?
The project coordinator is NovaMechanics Limited, a Cyprus-based SME. The software was described as open software, but specific IP arrangements across the 28-partner consortium would need to be clarified directly. NovaMechanics, as an SME coordinator, likely holds commercialization rights for the platform.
Does this meet current regulatory requirements for nanomaterial safety?
The platform was explicitly designed to align with OECD best practices and supports regulatory risk assessment. It addresses all 13 milestones from the EU-US Nanoinformatics Roadmap and follows EMMC standards for material modelling software. This makes it well-positioned for regulatory acceptance.
How long before we could integrate this into our workflow?
The standalone software application and cloud platform with API are delivered outputs from the project, which closed in August 2023. Integration timelines depend on your existing systems, but the API-based architecture suggests it can plug into existing data workflows. Contact NovaMechanics for implementation support.
What kind of nanomaterials does this cover?
The platform was designed to cover nanomaterials broadly, using fingerprints and nanodescriptors that link to functionality, exposure, and hazard. It supports grouping of nanomaterials by properties, which means it can handle diverse material types. Specific material coverage would depend on the training data in the knowledge infrastructure.
Is there ongoing support after the project ended?
The project closed in August 2023, but the coordinator NovaMechanics is a commercial SME, suggesting continued development and support is likely. The cloud platform was designed to be sustainable. Based on available project data, current support status should be confirmed directly with NovaMechanics.
Who built it
The NanoSolveIT consortium is unusually large with 28 partners across 17 countries, spanning Europe, North America, Asia-Pacific, and South Africa. This breadth signals global credibility — the team claims authorship of 81% of all nanoinformatics papers cited in the EU-US Nanoinformatics Roadmap. The consortium includes 6 industry partners and 5 SMEs (21% industry ratio), with 15 universities and 7 research organizations providing deep scientific backing. The coordinator, NovaMechanics Limited from Cyprus, is an SME — a positive sign for commercialization since SME coordinators typically have stronger motivation to bring results to market. The mix of academic depth and industrial presence, combined with the global reach, makes this consortium one of the most authoritative groups in nanoinformatics worldwide.
- NOVAMECHANICS LIMITEDCoordinator · CY
- NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIESparticipant · JP
- TARTU ULIKOOLparticipant · EE
- UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLINparticipant · IE
- NOVAMECHANICS MONOPROSOPI IKEthirdparty · EL
- NATIONAL HEALTH LABORATORY SERVICESparticipant · ZA
- ETHNICON METSOVION POLYTECHNIONparticipant · EL
- MISVIK BIOLOGY OYparticipant · FI
- GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTSparticipant · DE
- THE UNIVERSITY OF BIRMINGHAMparticipant · UK
- KOREA RESEARCH INSTITUTE OF STANDARDS AND SCIENCEparticipant · KR
- STIFTELSEN NILUparticipant · NO
- THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILLparticipant · US
- UNIVERSITEIT MAASTRICHTparticipant · NL
- LA TROBE UNIVERSITYparticipant · AU
- TAMPEREEN KORKEAKOULUSAATIO SRparticipant · FI
- DUKE UNIVERSITYparticipant · US
- UNITED KINGDOM RESEARCH AND INNOVATIONparticipant · UK
- QSAR LAB SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIAparticipant · PL
- UK CENTRE FOR ECOLOGY & HYDROLOGYparticipant · UK
- BUNDESANSTALT FUER MATERIALFORSCHUNG UND -PRUEFUNGparticipant · DE
- INDUSTRY-UNIVERSITY COOPERATION FOUNDATION OF HANYANG UNIVERSITYparticipant · KR
- BIOMAX INFORMATICS AGparticipant · DE
- THE REGENTS OF THE UNIVERSITY OF CALIFORNIAparticipant · US
- DET NATIONALE FORSKNINGSCENTER FOR ARBEJDSMILJØparticipant · DK
- STOCKHOLMS UNIVERSITETparticipant · SE
NovaMechanics Limited (Cyprus) — commercial SME specializing in computational chemistry and nanoinformatics
Talk to the team behind this work.
Want to know if NanoSolveIT's AI safety screening fits your nanomaterial product line? SciTransfer can arrange a direct introduction to the development team and help you evaluate the platform for your specific materials.