Credible industrial partners
Calls require partners with a real track record, not generic SMEs.
25+ years of applied R&D, partner of European consortia.
Universities, research centres and departments looking for an industrial partner for European projects, applied research, clinical prototypes or self-hosted AI solutions. noze comes from FP6 research and collaborates with CNR, Meyer and Italian universities.
Calls require partners with a real track record, not generic SMEs.
Prototypes, PoCs and spin-offs need to close the loop to market and become products, not stay as papers.
Clinical, biometric, sensitive data: EU residency and audit trails are mandatory.
Horizon Europe requires DMPs, FAIR data and open access: you need infrastructure that makes them part of everyday project work.
SolutionParticipation in FP / Horizon projects, applied expertise.
For private research centres, foundations and spin-offs: research data kept local, DPIAs, AI system classification, audit trail and a cross-regulation gap analysis across GDPR, NIS2 and AI Act with a unified remediation plan, on-premise.
On-premise AI for clinical research: source-cited research, draft study and quality documents, data redaction. Research Use Only (RUO): it is not a medical device and does not support decisions on patient care; MDR pathway planned.
Open framework for reproducible research on AI governance.
SolutionSecurity for research infrastructure and sensitive data.
SolutionSelf-hosted AI for research, governance and data compliance.
SolutionCloud platforms for research environments and distributed computing.
SolutionHosting, domains and Linux servers for labs and research environments.
EU FP6 project on anticipatory cognitive mechanisms: building systems able to predict the outcome of their own actions.
2021–2023Horizon 2020 (EUR 6.9M, 19 partners, Indra Sistemas): harmonisation of equipment and procedures for first-aid in EU disasters. noze: data workflow & site.
On 6 October Mistral released a preview of Mistral Large 4: a one-trillion-parameter Mixture of Experts with 52 billion active parameters, multimodal, trained in European data centres. Weights are announced by the end of October. The declared benchmarks, the Artificial Analysis score, pricing and what it takes to run it on premise.
Almost all agent memory systems decide what to remember when a task ends. JitMem keeps complete runs and prepares a summary only when needed, for the task at hand. How it works, how much it improves results, how it compares with JAM, Designer-RSI and MemCalib and what it takes to try it.
On 30 September Google presented Gemini 4 Argon, with a one million token output limit, and is rolling it out first to the cyber defenders of the Fairwind Program, including without cyber guardrails. Who can join the programme and on what terms, what Google claims about capabilities, how to read the benchmarks and which safeguards come before general release.
Yes: noze comes from FP6 research and collaborates with CNR, Meyer and Italian universities, taking part in FP and Horizon projects with applied expertise. It is the industrial partner with a real track record that calls require alongside research bodies.
DataGovern keeps research data local, on-premise, with audit trail, DPIAs, AI risk classification and a cross-regulation gap analysis across GDPR, NIS2 and AI Act that leads to a unified remediation plan. For clinical research, agentichealth adds source-cited research and an audit trail. Research Use Only (RUO): it is not a medical device and does not support decisions on patient care.
Admina is an open framework for reproducible research on AI governance. The infrastructure can integrate data management plans, FAIR data and open access as part of everyday project work, in line with Horizon Europe.