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RETINA-AI Health

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uuid0002nx8

Namestring
RETINA-AI Health
Legal namestring
RETINA-AI Health, Inc.
Websiteurl
retinahealth.ai
Company typeenum
Private
Founded yearint
2017
Descriptiontext

RETINA-AI Health, Inc. is a Houston-based, privately held healthtech company founded in 2017 that builds artificial intelligence systems to detect eye disease from retinal images. Its flagship product, RETINA-AI Galaxy, is a Software as a Medical Device (SaMD) web application that uses deep learning algorithms trained on images graded by American Board of Ophthalmology-certified retina specialists to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) in the primary care setting. In a pivotal clinical study, Galaxy demonstrated 90.3% sensitivity and 85% specificity on the CenterVue DRSPlus camera, with sensitivity exceeding 90% for mowDRet and 95% for vision-threatening DR across all three compatible robotic cameras (CenterVue DRSPlus, Crystalvue NFC-700, and Topcon NW400). The product requires no human grader, no on-site eyecare specialist, and produces a diagnostic report in under 10 seconds. It integrates with existing Electronic Health Record systems and runs as a no-install web application on standard browsers.

RETINA-AI Health, Inc. sells Galaxy directly to healthcare providers — primarily primary care physicians, family practices, retail clinics, and pharmacies — with a secondary commercial angle toward insurers and payors. Revenue is generated indirectly through CPT code 92229 Medicare and major healthcare insurance reimbursement for autonomous AI diabetic eye exams performed in primary care settings, with no direct software licensing fee disclosed. The company markets the product as a new revenue stream for PCPs, a tool to close care gaps and improve HEDIS Measures and CMS Star Ratings for payors, and a means to triage diabetic patients at the point of care. RETINA-AI Health, Inc. holds a granted US patent for AI detection of eye disease and maintains ISO 13485:2016, HIPAA, and FDA 21 CFR Part 11 certifications.

The company has raised $8.1 million in total funding across a July 2020 round and a December 2022 bridge financing, with the latter directed at developing RETINA-AI Galaxy v2.0 and supporting the eventual FDA application that produced the 2024 clearance. It operates with 1-10 employees and is led by founder and CEO Dr. Stephen G. Odaibo, a retina specialist who is described as the first ophthalmologist in the world with advanced degrees in both Mathematics and Computer Science. RETINA-AI Health, Inc. has publicly disclosed pipeline plans to extend its AI platform beyond diabetic retinopathy into glaucoma, macular degeneration, cardiovascular risk, and neurological disease detection.

Short descriptiontext

RETINA-AI Health, Inc. is a Houston-based healthtech company that builds FDA-cleared deep learning AI for autonomous diabetic retinopathy screening in primary care settings, generating revenue via CPT code 92229 reimbursement for PCPs, insurers, and payors.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersHouston, United States
HQ citystring
Houston
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI medical imaging, Diabetic retinopathy detection, Clinical decision support, Software as medical device, Healthcare AI screening
Industry3 codes
1SaMD – Imaging & Signal Analysis (AI/ML)
CodeHLACANAGPrimaryYes
2Medical Imaging AI
CodeHDAAAEAHPrimaryNo
3SaMD – Monitoring, Triage & Risk Stratification Software
CodeHLACANAEPrimaryNo
NAICS code3 codes
  • Electromedical and Electrotherapeutic Apparatus Manufacturing334510
  • Ophthalmic Goods Manufacturing339115
  • Navigational, Measuring, Electromedical, and Control Instruments Manufacturing33451
SIC code3 codes
  • Surgical & Medical Instruments & Apparatus3841
  • Electromedical & Electrotherapeutic Apparatus3845
  • Ophthalmic Goods3851
Product category
AI Diagnostic Imaging Software
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Healthcare screening reimbursement
TypeSubscription Recurring
Description

RETINA-AI Galaxy generates revenue through Medicare and major healthcare insurance reimbursement via CPT code 92229 for autonomous AI diabetic eye exams. Healthcare providers in primary care settings can bill for the screening service, creating a new revenue stream while closing care gaps and reducing payouts through prevention of blindness.

retinahealth.ai
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

RETINA-AI Health develops and sells RETINA-AI Galaxy, a Software as a Medical Device (SaMD) that uses deep learning AI to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) from retinal images in primary care settings. The web application delivers diagnostic results in under 10 seconds, requires no human grader or on-site eyecare specialist, and is compatible with robotic cameras from three manufacturers (CenterVue DRSPlus, Crystalvue NFC-700, Topcon NW400). The system is FDA cleared, ISO 13485:2016 certified, and HIPAA compliant, and integrates with EHR systems.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • 90.3% sensitivity and 85% specificity for diabetic retinopathy detection on DRSplus camera
+4 more records
Product overview1 text field

RETINA-AI Health offers a single unified product: the RETINA-AI Galaxy™ AI system for diabetic retinopathy screening. Galaxy is a Software as a Medical Device (SaMD) web application that uses deep learning to automatically detect moderate or worse Diabetic Retinopathy in primary care settings. The company is also developing pipeline products for glaucoma, macular degeneration, cardiovascular risk, and neurological disease detection. RETINA-AI Galaxy v2.0 is an enhanced version currently undergoing clinical validation.

Product and service2 records
1RETINA-AI Galaxy
CategoryAI Diagnostic Imaging Software
Description

Flagship Software as a Medical Device (SaMD) web application that uses deep learning AI to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) from retinal images in primary care settings. Delivers diagnostic results in under 10 seconds without requiring a human grader or on-site eyecare specialist, integrates with EHR systems, and supports billing via CPT code 92229. Targeted at primary care physicians, healthcare systems, insurers, and payors.

2RETINA-AI Galaxy v2.0
CategoryAI Diagnostic Imaging Software
Description

Next-generation version of the RETINA-AI Galaxy AI system for diabetic retinopathy detection, advanced into Phase III clinical trials in November 2022 with planned FDA submission.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership5 partners
Strategic tierCoreTypeTechnology or Integration
Description

CenterVue DRSPlus camera is one of three FDA-cleared cameras compatible with RETINA-AI Galaxy for autonomous diabetic retinopathy detection. The DRSPlus is described as a favorite amongst clinic staff and is the highest performing and most technologically advanced option. Partnership enables multi-camera compatibility for different clinical environments.

Strategic tierCoreTypeTechnology or Integration
Description

Crystalvue NFC-700 camera is one of three FDA-cleared cameras compatible with RETINA-AI Galaxy. Described as an excellent and cost-effective option for diabetic retinopathy screening in primary care settings.

Strategic tierCoreTypeTechnology or Integration
Description

Topcon NW400 camera is one of three FDA-cleared cameras compatible with RETINA-AI Galaxy. Described as a well known and highly available option, making diabetic retinopathy screening accessible in diverse clinical settings.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Dr. Odaibo serves on the Industry Advisory Board of Duke University's Artificial Intelligence Master of Engineering Program. Team members have backgrounds from Duke University. The company has affiliations with Duke for talent and research.

5Data Science Nigeria
Strategic tierMinorTypeStrategic or Co-development Partner
Description

Dr. Stephen Odaibo serves on the Advisory Board of Data Science Nigeria, supporting AI education and development initiatives in Nigeria.

retinahealth.ai
Recent move4 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Pioneered the first FDA-cleared autonomous AI for diabetic retinopathy (IDx-DR) and operates in the same autonomous DR screening category, targeting similar PCP and payor customers with a comparable SaMD delivery model.

TypeDirect peer
Description

Developer of EyeArt, an FDA-cleared AI for diabetic retinopathy screening used in primary care and retail settings, directly competing with RETINA-AI Galaxy on CPT-92229-style reimbursement and PCPs as the primary buyer.

TypeDirect peer
Description

AEYE-DS is an FDA-cleared autonomous AI for diabetic retinopathy screening sold to primary care and retail clinics, competing head-to-head with Galaxy on accuracy, single-visit workflow, and reimbursement-driven economics.

TypeDirect peer
Description

Provides AI-based retinal screening for diabetic retinopathy and AMD risk, targeting primary care and community health settings with an autonomous SaMD approach comparable to RETINA-AI's value proposition.

TypeBroad incumbent
Description

Developed an AI system for diabetic retinopathy detection backed by Google's resources and data, competing in the same clinical AI-for-DR space with broader infrastructure, capital, and health system partnerships.

TypeBroad incumbent
Description

A well-funded clinical AI platform spanning multiple imaging modalities and use cases. While not DR-specific, Aidoc competes for the same hospital IT, imaging, and AI budget that a PCP-focused DR SaMD would need to displace or complement.

TypeBroad incumbent
Description

Cloud-based medical imaging AI platform with FDA-cleared models across multiple modalities. Competes for clinical AI mindshare and integration real estate in healthcare systems, adjacent to RETINA-AI's EHR-integrated SaMD approach.

TypeOthers
Description

One of RETINA-AI's three camera partners (NW400), Topcon is also a broader ophthalmic device and healthcare IT vendor whose own AI/retinal screening initiatives and integrated imaging suites could compete with or complement Galaxy in the same PCP workflow.

TypeOthers
Description

Manufacturer of the DRSPlus camera that is part of RETINA-AI's cleared multi-camera footprint. As an iCare-owned entity, it could evolve into a competitor by bundling proprietary AI with its installed base of retinal cameras.

TypeRegional player
Description

EU-based provider of AI-based retinal image analysis (e.g., for DR and COPD), offering a comparable retinal-AI software layer but operating primarily in European markets rather than overlapping directly with RETINA-AI's U.S. PCP channel.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration4 records

Each record includes

Title, Type, Description, Source

AI capability2 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance3 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

RETINA-AI Health

AI Diagnostic Imaging Softwareretinahealth.ai

RETINA-AI Health, Inc. is a Houston-based healthtech company that builds FDA-cleared deep learning AI for autonomous diabetic retinopathy screening in primary care settings, generating revenue via CPT code 92229 reimbursement for PCPs, insurers, and payors.

What RETINA-AI Health does

RETINA-AI Health, Inc. is a Houston-based, privately held healthtech company founded in 2017 that builds artificial intelligence systems to detect eye disease from retinal images. Its flagship product, RETINA-AI Galaxy, is a Software as a Medical Device (SaMD) web application that uses deep learning algorithms trained on images graded by American Board of Ophthalmology-certified retina specialists to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) in the primary care setting. In a pivotal clinical study, Galaxy demonstrated 90.3% sensitivity and 85% specificity on the CenterVue DRSPlus camera, with sensitivity exceeding 90% for mowDRet and 95% for vision-threatening DR across all three compatible robotic cameras (CenterVue DRSPlus, Crystalvue NFC-700, and Topcon NW400). The product requires no human grader, no on-site eyecare specialist, and produces a diagnostic report in under 10 seconds. It integrates with existing Electronic Health Record systems and runs as a no-install web application on standard browsers.

RETINA-AI Health, Inc. sells Galaxy directly to healthcare providers — primarily primary care physicians, family practices, retail clinics, and pharmacies — with a secondary commercial angle toward insurers and payors. Revenue is generated indirectly through CPT code 92229 Medicare and major healthcare insurance reimbursement for autonomous AI diabetic eye exams performed in primary care settings, with no direct software licensing fee disclosed. The company markets the product as a new revenue stream for PCPs, a tool to close care gaps and improve HEDIS Measures and CMS Star Ratings for payors, and a means to triage diabetic patients at the point of care. RETINA-AI Health, Inc. holds a granted US patent for AI detection of eye disease and maintains ISO 13485:2016, HIPAA, and FDA 21 CFR Part 11 certifications.

The company has raised $8.1 million in total funding across a July 2020 round and a December 2022 bridge financing, with the latter directed at developing RETINA-AI Galaxy v2.0 and supporting the eventual FDA application that produced the 2024 clearance. It operates with 1-10 employees and is led by founder and CEO Dr. Stephen G. Odaibo, a retina specialist who is described as the first ophthalmologist in the world with advanced degrees in both Mathematics and Computer Science. RETINA-AI Health, Inc. has publicly disclosed pipeline plans to extend its AI platform beyond diabetic retinopathy into glaucoma, macular degeneration, cardiovascular risk, and neurological disease detection.

RETINA-AI Health firmographics

Firmographics
Name
RETINA-AI Health
Legal name
RETINA-AI Health, Inc.
Website
https://retinahealth.ai
Company type
Private
Founded year
2017
Operating status
Operating
Headcount range
1–10 employees
Short description
RETINA-AI Health, Inc. is a Houston-based healthtech company that builds FDA-cleared deep learning AI for autonomous diabetic retinopathy screening in primary care settings, generating revenue via CPT code 92229 reimbursement for PCPs, insurers, and payors.
Ownership category
akta.pro rank

RETINA-AI Health industry classification

Industry
Product category
AI Diagnostic Imaging Software
NAICS
Electromedical and Electrotherapeutic Apparatus Manufacturing (334510), Ophthalmic Goods Manufacturing (339115), Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451)
SIC
Surgical & Medical Instruments & Apparatus (3841), Electromedical & Electrotherapeutic Apparatus (3845), Ophthalmic Goods (3851)
akta.pro primary industry
SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG)
akta.pro secondary industries
Medical Imaging AI (HDAAAEAH), SaMD – Monitoring, Triage & Risk Stratification Software (HLACANAE)

Keywords

  • AI medical imaging
  • Diabetic retinopathy detection
  • Clinical decision support
  • Software as medical device
  • Healthcare AI screening

Where RETINA-AI Health is headquartered

Location

Headquarters

HQ city
Houston
HQ country
United States
HQ region
North America

Offices1 record

Markets served

RETINA-AI Health business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. Healthcare screening reimbursement: RETINA-AI Galaxy generates revenue through Medicare and major healthcare insurance reimbursement via CPT code 92229 for autonomous AI diabetic eye exams. Healthcare providers in primary care settings can bill for the screening service, creating a new revenue stream while closing care gaps and reducing payouts through prevention of blindness.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

RETINA-AI Health product offering

Product offering

Core offering

RETINA-AI Health develops and sells RETINA-AI Galaxy, a Software as a Medical Device (SaMD) that uses deep learning AI to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) from retinal images in primary care settings. The web application delivers diagnostic results in under 10 seconds, requires no human grader or on-site eyecare specialist, and is compatible with robotic cameras from three manufacturers (CenterVue DRSPlus, Crystalvue NFC-700, Topcon NW400). The system is FDA cleared, ISO 13485:2016 certified, and HIPAA compliant, and integrates with EHR systems.

Product overview

RETINA-AI Health offers a single unified product: the RETINA-AI Galaxy™ AI system for diabetic retinopathy screening. Galaxy is a Software as a Medical Device (SaMD) web application that uses deep learning to automatically detect moderate or worse Diabetic Retinopathy in primary care settings. The company is also developing pipeline products for glaucoma, macular degeneration, cardiovascular risk, and neurological disease detection. RETINA-AI Galaxy v2.0 is an enhanced version currently undergoing clinical validation.

Differentiator

Problem solved

Functional benefit

Products and services

  • RETINA-AI Galaxy Flagship Software as a Medical Device (SaMD) web application that uses deep learning AI to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) from retinal images in primary care settings. Delivers diagnostic results in under 10 seconds without requiring a human grader or on-site eyecare specialist, integrates with EHR systems, and supports billing via CPT code 92229. Targeted at primary care physicians, healthcare systems, insurers, and payors.
  • RETINA-AI Galaxy v2.0 Next-generation version of the RETINA-AI Galaxy AI system for diabetic retinopathy detection, advanced into Phase III clinical trials in November 2022 with planned FDA submission.

Quantifiable outcome

  • 90.3% sensitivity and 85% specificity for diabetic retinopathy detection on DRSplus camera
  • +4 more outcomes

Companies that use RETINA-AI Health

Customer profile

Segments3 records

Ideal customer profiles3 records

RETINA-AI Health technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability2 records

Feature6 records

RETINA-AI Health partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered core and minor.

  • CenterVuecoreTechnology or IntegrationCenterVue DRSPlus camera is one of three FDA-cleared cameras compatible with RETINA-AI Galaxy for autonomous diabetic retinopathy detection. The DRSPlus is described as a favorite amongst clinic staff and is the highest performing and most technologically advanced option. Partnership enables multi-camera compatibility for different clinical environments.
  • CrystalvuecoreTechnology or IntegrationCrystalvue NFC-700 camera is one of three FDA-cleared cameras compatible with RETINA-AI Galaxy. Described as an excellent and cost-effective option for diabetic retinopathy screening in primary care settings.
  • TopconcoreTechnology or IntegrationTopcon NW400 camera is one of three FDA-cleared cameras compatible with RETINA-AI Galaxy. Described as a well known and highly available option, making diabetic retinopathy screening accessible in diverse clinical settings.
  • Duke UniversityminorStrategic or Co-development PartnerDr. Odaibo serves on the Industry Advisory Board of Duke University's Artificial Intelligence Master of Engineering Program. Team members have backgrounds from Duke University. The company has affiliations with Duke for talent and research.
  • Data Science NigeriaminorStrategic or Co-development PartnerDr. Stephen Odaibo serves on the Advisory Board of Data Science Nigeria, supporting AI education and development initiatives in Nigeria.

Scale indicators5 records

Recent moves4 records

Expansion highlights6 records

RETINA-AI Health competitors and assessment

Company assessment

Direct peers

  • Digital Diagnostics: Pioneered the first FDA-cleared autonomous AI for diabetic retinopathy (IDx-DR) and operates in the same autonomous DR screening category, targeting similar PCP and payor customers with a comparable SaMD delivery model.
  • Eyenuk: Developer of EyeArt, an FDA-cleared AI for diabetic retinopathy screening used in primary care and retail settings, directly competing with RETINA-AI Galaxy on CPT-92229-style reimbursement and PCPs as the primary buyer.
  • AEYE Health: AEYE-DS is an FDA-cleared autonomous AI for diabetic retinopathy screening sold to primary care and retail clinics, competing head-to-head with Galaxy on accuracy, single-visit workflow, and reimbursement-driven economics.
  • iHealthScreen: Provides AI-based retinal screening for diabetic retinopathy and AMD risk, targeting primary care and community health settings with an autonomous SaMD approach comparable to RETINA-AI's value proposition.

Broad incumbents

  • Verily (Google/Alphabet): Developed an AI system for diabetic retinopathy detection backed by Google's resources and data, competing in the same clinical AI-for-DR space with broader infrastructure, capital, and health system partnerships.
  • Aidoc: A well-funded clinical AI platform spanning multiple imaging modalities and use cases. While not DR-specific, Aidoc competes for the same hospital IT, imaging, and AI budget that a PCP-focused DR SaMD would need to displace or complement.
  • Arterys: Cloud-based medical imaging AI platform with FDA-cleared models across multiple modalities. Competes for clinical AI mindshare and integration real estate in healthcare systems, adjacent to RETINA-AI's EHR-integrated SaMD approach.

Others

  • Topcon Healthcare: One of RETINA-AI's three camera partners (NW400), Topcon is also a broader ophthalmic device and healthcare IT vendor whose own AI/retinal screening initiatives and integrated imaging suites could compete with or complement Galaxy in the same PCP workflow.
  • CenterVue (now iCare): Manufacturer of the DRSPlus camera that is part of RETINA-AI's cleared multi-camera footprint. As an iCare-owned entity, it could evolve into a competitor by bundling proprietary AI with its installed base of retinal cameras.

Regional players

  • Thirona: EU-based provider of AI-based retinal image analysis (e.g., for DR and COPD), offering a comparable retinal-AI software layer but operating primarily in European markets rather than overlapping directly with RETINA-AI's U.S. PCP channel.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

RETINA-AI Health social profiles

Digital presence

RETINA-AI Health compliance and trust

Trust signal

Compliance3 records

RETINA-AI Health financial estimates

Financial estimate

Revenue estimate

Valuation estimate

RETINA-AI Health leadership team

Management profile

Number of profiles

Profiles5 records

RETINA-AI Health funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

RETINA-AI Health M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about RETINA-AI Health

What does RETINA-AI Health do?

RETINA-AI Health develops and sells RETINA-AI Galaxy, a Software as a Medical Device (SaMD) that uses deep learning AI to autonomously detect moderate or worse Diabetic Retinopathy (mowDRet) from retinal images in primary care settings. The web application delivers diagnostic results in under 10 seconds, requires no human grader or on-site eyecare specialist, and is compatible with robotic cameras from three manufacturers (CenterVue DRSPlus, Crystalvue NFC-700, Topcon NW400). The system is FDA cleared, ISO 13485:2016 certified, and HIPAA compliant, and integrates with EHR systems.

Is RETINA-AI Health a public or private company?

RETINA-AI Health is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was RETINA-AI Health founded?

RETINA-AI Health was founded in 2017. It employs 1 to 10 people.

Where is RETINA-AI Health based?

RETINA-AI Health is headquartered in Houston, United States, in the North America region.

How does RETINA-AI Health make money?

One revenue line is on record: healthcare screening reimbursement.

Who are RETINA-AI Health's main competitors?

Direct peers on record are Digital Diagnostics, Eyenuk, AEYE Health and iHealthScreen. Broad incumbents are Verily (Google/Alphabet), Aidoc and Arterys. Others are Topcon Healthcare and CenterVue (now iCare). Thirona is listed as a regional player.

Does RETINA-AI Health have an API?

No public API is recorded for RETINA-AI Health.

What industry is RETINA-AI Health in?

RETINA-AI Health's product category is AI Diagnostic Imaging Software. Its primary akta.pro industry code is HLACANAG, SaMD – Imaging & Signal Analysis (AI/ML), with a secondary code of HDAAAEAH, Medical Imaging AI. Its NAICS code is 334510 and its SIC code is 3841.

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Live signals
TechpointNigeria needs to take bets on young talents in AI – Retina-AI CEODr. Stephen Odaibo, CEO and founder of Retina-AI Health, has urged the Federal Government of Nigeria to create a special AI development fund of $2-10 billion to identify and support young AI talents in the country. Drawing parallels to India's successful bet on information technology 30 years ago, Odaibo argues that Nigeria can leverage its latent potential and natural resources despite current financial constraints. He also emphasized the need for proper AI governance and regulation that encourages innovation while protecting the public interest.PR NewswireRETINA-AI Health, Inc. Closes $2.6M Bridge Round; Totaling $8.1M Raised to Build Galaxy™ Multi-Camera-Compatible Diabetic Retinopathy AI System. Starts Clinical Trial.RETINA-AI Health, Inc. closed a $2.6 million bridge financing round, bringing its total capital raised to $8.1 million for the development of its RETINA-AI Galaxy™ v2.0 diabetic retinopathy detection system. The company initiated enrollment in its pivotal Phase III clinical trial on November 3, 2022, and aims to complete the study by spring 2023 before submitting an FDA application.SecSEC FORM DRetina-AI Health, Inc. filed a SEC Form D notice of exempt offering of securities under Rule 504(b)(1), dated December 7, 2022, with principal place of business in Houston, Texas. The filing disclosed 19 investors, a minimum investment of $25,000, and $2,535,000 sold, with $100,000 of proceeds estimated for executive officers, directors or promoters.PR NewswireRETINA-AI Health, Inc. Announces Positive Pivotal Study Results for the RETINA-AI Galaxy™ Autonomous Diabetic Retinopathy Screening Device. Regulatory Application Submitted to the FDA for Clearance.RETINA-AI Health, Inc. announced positive results from the pivotal clinical study of its RETINA-AI Galaxy™ autonomous diabetic retinopathy screening device and has submitted its application to the FDA for clearance. The multi-center study tested the device across five different fundus cameras, meeting all primary endpoints with sensitivity ranging from 83.6% to 97.1% for more-than-mild diabetic retinopathy and 88.2% to 97.1% for vision-threatening diabetic retinopathy, with specificity exceeding 82.5% across all cameras. The device is designed for primary care settings to address the gap in diabetic eye exams, as the CEO noted that while diabetes affects over 35 million Americans and 450 million people globally, most patients do not receive the required annual eye exam.PR NewswireRETINA-AI Health, Inc. is Awarded U.S. Patent for AI Detection of Eye DiseaseRETINA-AI Health, Inc. has been awarded a U.S. patent for its artificial intelligence systems designed to autonomously detect eye diseases from images. The patent covers methods using weighted-ensemble supervised-learning and positions the company to continue developing innovative healthcare AI products.PR NewswireRETINA-AI Health, Inc. Welcomes Nwamaka Imasogie as Chief Product OfficerNwamaka Imasogie has joined RETINA-AI Health, Inc. as Chief Product Officer, coming from Microsoft's Healthcare AI and Research team. She has founded and sold two startups and has experience in healthcare technology and cybersecurity. RETINA-AI Health focuses on developing AI for healthcare, particularly retina-based diagnostics for chronic diseases.PR NewswireRETINA-AI Health, Inc. Welcomes Eric T. Stone as Chief Technology OfficerRETINA-AI Health, Inc. appointed Eric T. Stone as its new Chief Technology Officer in Houston on October 21, 2020. Stone brings over twenty years of software development experience, including leadership roles at Toyota, Kaiser Permanente, and Wells Fargo, along with expertise in AI and biotechnology. The company stated that his background is suited to lead their technology development efforts for retina-based disease detection.PR NewswireRETINA-AI Health, Inc. Welcomes Dr. Tamara Domnitz as Vice President of Business DevelopmentRETINA-AI Health, Inc. announced the appointment of Dr. Tamara Domnitz as Vice President of Business Development, effective immediately. Dr. Domnitz brings over 10 years of international audit experience at KPMG and Sony Corporation America, alongside her credentials as a board-certified optometrist. The company stated her regulatory expertise will support its readiness for the FDA's Digital Health Certification pre-cert program as it develops AI-powered solutions for disease detection.Pulse 2.0RETINA-AI Health Raises $5.2 Million To Use AI For Detection Of Diabetic RetinopathyRETINA-AI Health raised $5.2 million from private investors, 80% physicians, to fund its AI-based diabetic retinopathy detection. The company's HUMMINGBIRD DR 100 product interprets retinal images and returns a PDF report within seconds. The funding will be used to advance the technology through the FDA.PR NewswireRETINA-AI Health, Inc. Raises $5.2M for AI Detection of Diabetic RetinopathyRETINA-AI Health, Inc. raised $5.2 million in Series A financing from private investors, 80% of whom are physicians, with additional participation from business figures such as Bill Smith, founder of Shipt. The funds will be used to advance the company's HUMMINGBIRD DR 100™ AI-based diabetic retinopathy detection technology through the FDA approval process. The company aims to address a significant gap in care, as more than half of Americans with diabetes do not receive their required annual retinal exam due to cost, convenience, and specialist shortages.