Last updated October 1, 2026

Cambridge Vision Technology

Developing retinal imaging and AI for early Alzheimer’s risk screening

Alzheimer's DiseaseMedical ImagingOphthalmology

People at risk of Alzheimer’s need accessible assessment before disease has progressed substantially. Specialist diagnostic pathways can involve multiple appointments, imaging or laboratory tests, creating a need for scalable ways to identify patients who should receive further evaluation.

Cambridge Vision Technology is developing an eye-based screening system to help clinicians identify people who may need further Alzheimer’s assessment. Its approach aims to make early risk stratification more accessible through non-invasive retinal imaging.

Key Investor Signals

Secured a UK dementia pre-screening contract

was selected for ’s programme supporting dementia biomarker tools. The pre-procurement contract supports development of a scalable point-of-care pre-screening system.

Co-founder built an NHS referral system used at scale

Co-founder James Wood previously founded , whose electronic clinical-referral system handled more than 200,000 patient transfers for the .

Joined Cambridge Enterprise’s life-sciences portfolio

identified CVT as a life-sciences portfolio company supported by its venture arm after the team completed the ’s START 1.0 accelerator.

Team

Andrew Kadis

Co-founder & CEO

  • Earned a PhD in engineering at the University of Cambridge before developing connected medical-device technologies.
  • Managed research and development projects for and as a technology consultant.
  • Contributed to connected health products, including wearable fitness trackers and a smart inhaler, over a 15-year career.

James Wood

Co-founder

  • Founded Data Transparency, whose NHS electronic-referral system handled more than 200,000 patient transfers.
  • Served as Head of Strategy and Machine Learning at , applying AI to renewable-energy trading.
  • Studied physics at Oxford and attended ’s MBA programme, combining technical and commercial training.

Milad Alemohammad

Co-founder

  • Developed optical and electronic systems across biomedical imaging, telecommunications and signal-processing applications.
  • Worked as an optical engineer at on non-invasive neural-interface imaging and signal processing.
  • Conducted biomedical-imaging and ultrafast signal-processing research at .

Product

A-Eye Scope combines retinal-imaging hardware with a software platform that analyzes ocular . Its machine-learning approach combines extracted vascular features with non-imaging inputs, such as cognitive-test scores, to support Alzheimer’s risk stratification.

Capturing retinal images

The team is developing a non-invasive retinal-imaging headset intended for use with limited operator training. Automated capture is designed to make consistent eye-image collection practical outside specialist imaging departments.

Combining imaging and clinical inputs

Machine-learning models analyze vascular features extracted from the alongside information such as cognitive-test scores. The resulting measurements are intended to support clinicians’ interpretation at early stages of impairment.

Managing images and analysis

The integrated platform supports remote image capture, storage and execution of analysis algorithms. It is designed for clinicians and researchers, including teams developing their own models from retinal-image data.

Market Overview

Cambridge Vision Technology addresses retinal-imaging equipment and diagnostic analysis software for clinical screening. Eye-care providers already purchase fundus cameras, while primary-care and research settings are adopting image-analysis tools. Alzheimer’s screening is a proposed use within this broader equipment and software ecosystem.

Purchasers need practical image acquisition, interpretable results and integration with referral workflows. The established retinal-camera market and emerging AI-enabled ophthalmic-device market provide commercial benchmarks for the platform, while use in Alzheimer’s assessment requires disease-specific clinical evidence.

Global retinal-camera revenue
$370.6M

Global fundus-camera revenue was estimated at $370.6M in 2024.

Retinal-camera market growth
6.4%

Global fundus-camera revenue is forecast to grow 6.4% annually from 2025 to 2030.

Cameras without pupil dilation
49.4%

cameras accounted for 49.4% of global fundus-camera revenue in 2024.

US AI eye-diagnostics revenue
$64.3M

US AI-enabled ophthalmic diagnostic-device revenue was estimated at $64.3M in 2025.

Comparable Outcomes

Retinal imaging systems

Optos

Acquired by Nikon in 2015 for approximately £259.3M

developed retinal-imaging systems for eye-care professionals, enabling widefield views used in screening and clinical assessment. ’s acquisition became effective in May 2015.

Alzheimer’s diagnostics

Avid Radiopharmaceuticals

Acquired by Eli Lilly for up to $800M.

Developed PET imaging agents designed to detect amyloid plaques associated with . completed the acquisition in December 2010.

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Sources

This profile was built from public company materials, ecosystem sources, market references, and professional profiles.

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