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Oivi

Oivi provides a smart fundus camera that utilizes custom-built optics, robotics, and artificial intelligence to enable automated eye screening for diabetic retinopathy at the point-of-care. This technology facilitates early detection and rapid diagnosis, significantly reducing the risk of permanent vision loss among high-risk diabetic patients.

Traction 10/10
Oslo, Norway · HQ
Founded 2017563K+ followers
  • Artificial Intelligence
  • Hardware
  • Healthcare Technology
  • Medical Devices
Updated 23 months ago

Funding

Raised to date

$4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Anders Eikenes

CEO/Co-Founder

Product

Problem

Diabetic retinopathy, a common complication of diabetes, often goes undetected until it causes significant vision loss. Traditional screening methods require specialized equipment and trained personnel, limiting accessibility, especially in primary care settings and remote locations. This leads to delayed diagnosis and treatment, increasing the risk of permanent vision impairment for diabetic patients.

Solution

Oivi offers an automated fundus camera designed for point-of-care diabetic retinopathy screening. The system integrates custom optics, robotics, and AI to simplify the screening process, enabling early detection and rapid diagnosis. By moving screening to primary care centers, diabetes clinics, and pharmacies, Oivi aims to reach high-risk patients who may not have regular access to ophthalmologists. The technology facilitates timely intervention, reducing the likelihood of severe vision loss and associated healthcare costs.

Target Audience

The primary target audience includes primary care physicians, endocrinologists, diabetes clinics, pharmacies, and eye hospitals seeking to expand diabetic retinopathy screening to a broader patient base.

Features

  • Custom-built optics for high-quality retinal imaging
  • Integrated robotics for automated image capture and alignment
  • AI-powered image analysis for detecting diabetic retinopathy indicators
  • Portable design for use in various point-of-care settings
  • Streamlined workflow for ease of use by non-specialist healthcare providers
This profile is AI-generated and may contain inaccuracies.