UndosaTech
The Data-Innovation Bridge
Federated AI · Vision Science & Neuroscience · Pre-Seed 2026

Federated Analysis for
Vision Science and
Neuroscience Research

UndosaTech helps vision science and neuroscience researchers run secure, governed, federated analysis across institutional datasets — without moving raw patient data. Built with NHS Trusts and research universities, designed for the regulatory reality of UK and EU health data.

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85%
Research investment avoidably wasted each year
95%
Alzheimer's drug failure rate at Phase III
30%
Clinical trials with unreported results — FDA, 2026
2,200+
Sponsors contacted by FDA over missing data
Platform
Zero-Trust Federated Learning
AI models travel to the data. Datasets never leave the institution.
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Programme
Research Data Reuse
A governed framework for ethical secondary use of archived data.
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Timing
Three Converging Forces
EHDS, commoditised models, and NHS financial pressure align now.
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Investors
Raising £900K Pre-Seed
SAFE / Convertible Note. 18 months runway. Dundee, Scotland.
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85%
of biomedical research investment avoidably wasted each year — flawed design, non-publication, poor reporting
Chalmers & Glasziou, The Lancet, 2009 →
30%
of applicable clinical trials have never submitted required results to ClinicalTrials.gov — FDA internal analysis, 2026
FDA.gov, April 2026 →
2,200+
sponsors contacted by the FDA in April 2026 over 3,000+ registered trials with unreported results
Fierce Biotech, April 2026 →
95%
failure rate for Alzheimer's drug candidates in Phase III — driven by inadequate cross-institutional data access
Medidata, CNS Clinical Trials, 2026 →

The demo is
live now.

Explore the federated analysis interface, see how the governance layer works, and experience the no-code AI tools firsthand. Sign in with your institutional or Google account.

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