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Pangaea Data

Full company profile

uuid0005yyi

Namestring
Pangaea Data
Legal namestring
Pangaea Data
Websiteurl
pangaeadata.ai
Company typeenum
Private
Founded yearint
2017
Descriptiontext

Pangaea Data is a London- and San Francisco-headquartered AI software company founded in 2017 that builds the PALLUX platform, a multimodal AI system designed to analyze structured and unstructured patient data — including clinical records, imaging, genomic information, and real-world data — to identify individuals who are undiagnosed, under-treated, or at elevated clinical risk. The company's core application is surfacing patients with conditions where diagnostic delays are long and underdiagnosis is severe, with the lead use case being Alpha-1 Antitrypsin Deficiency (AATD), where it claims up to 90% of U.S. patients remain undiagnosed despite relevant information already existing in medical records. The platform has expanded into adjacent therapeutic areas including COPD, severe asthma, rare disorders, ophthalmology (glaucoma and diabetic retinopathy via integration with Topcon's Harmony platform), and oncology social drivers of health.

The company operates an enterprise go-to-market in which large pharmaceutical companies and healthcare technology vendors sponsor the configuration and deployment of the platform. Strategic multi-year partnerships with Sanofi (AATD deployment across select U.S. health systems and low-income community clinics) and AstraZeneca (global multimodal AI deployment for clinical decision-making, patient identification, and clinical trial recruitment) anchor the commercial model. Additional relationships include a strategic investment and platform integration from Topcon Healthcare and an academic deployment at the University of Illinois Chicago Cancer Center. Pangaea leverages generative and predictive AI capabilities from Microsoft and NVIDIA rather than positioning itself as a foundation model developer.

The business model is enterprise platform licensing via multi-year, sponsor-funded deployments with undisclosed contract values and custom configuration terms. The company is privately held and venture-backed, with disclosed institutional investors including Ascension, Salica, IQ Capital, and Koa Labs (2021 round), alongside a 2025 strategic investment from Topcon Healthcare. With 11-50 employees, Pangaea is an early-stage, commercially scaling company rather than a mature enterprise software vendor, and its revenue, headcount growth rate, and customer count beyond named logos are not publicly disclosed.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersLondon, United Kingdom
HQ citystring
London
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
clinical decision support, healthcare AI platform, patient identification software, multimodal medical AI, rare disease diagnostics
Industry2 codes
1Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D)
CodeHLAGAJAFPrimaryYes
2Bioinformatics & Multi-omics Analysis Software
CodeHLAGAJADPrimaryNo
NAICS code1 code
  • Software Publishers5132
SIC code1 code
  • Services-Misc Health & Allied Services, Nec8090
Product category
Healthcare AI Software
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1Enterprise Platform Licensing and Deployment
TypeSubscription Recurring
Description

Multi-year enterprise agreements with pharmaceutical companies and healthcare systems where partners sponsor configuration and deployment of Pangaea's AI platform

dig.watch
Distribution channels3 records

Each record includes

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

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Pangaea Data provides the PALLUX platform, a proprietary AI-driven software that analyzes structured and unstructured patient records in real-time to identify underdiagnosed and untreated patients. The platform integrates clinical, imaging, genomic, and real-world data through multimodal AI capabilities (leveraging Microsoft and NVIDIA technologies) to support clinical decision-making for patient identification, diagnosis, treatment, and connection to therapies or clinical trials across conditions including genetic disorders, respiratory diseases, cancer, and eye health.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Up to 90% of people with AATD remain undiagnosed in the U.S.
+1 more record
Product overview1 text field

Pangaea Data offers a unified AI platform for population health management and clinical decision support. The core product, PALLUX, is a proprietary AI platform that analyzes structured and unstructured patient data to identify at-risk individuals, supporting early detection of underdiagnosed conditions. The platform integrates clinical, imaging, genomic, and real-world data to enable multimodal AI capabilities for improving patient identification, diagnosis, and connection to appropriate treatments or clinical trials.

Product and service1 record
1PALLUX Platform
CategoryClinical Decision Support / Healthcare AI
Description

Proprietary AI platform that analyzes structured and unstructured patient records to identify untreated and underdiagnosed patients in real-time, supporting disease detection across multiple therapeutic areas including genetic disorders (e.g., AATD), respiratory conditions (COPD, severe asthma), cancer (SDOH analysis), and eye health (glaucoma, diabetic retinopathy). Designed for pharmaceutical companies, healthcare systems, academic medical centers, and ophthalmology providers.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-22
Description

Partnership with Sanofi to deploy an AI platform for detecting Alpha-1 Antitrypsin Deficiency (AATD), a genetic disorder affecting the lungs and liver. The platform will be distributed across select U.S. healthcare systems and low-income community clinics to identify at-risk individuals in real-time.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-12-05
Description

Strategic multi-year partnership with AstraZeneca to deploy multimodal AI in clinical settings. AstraZeneca is sponsoring the configuration and deployment of Pangaea's enterprise platform that integrates clinical, imaging, genomic, and real-world data. The collaboration leverages generative and predictive AI capabilities from Microsoft and NVIDIA to scale AI-driven clinical decision-making for patient identification, diagnosis, treatment, and connection to therapies or clinical trials.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2025-11-11
Description

Pangaea Data's AI platform was adopted by the University of Illinois Chicago Cancer Center to analyze electronic health records and uncover social drivers of health (SDOH) impacting patient outcomes in urologic cancer patients.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-05-01
Description

Topcon Healthcare's strategic investment in Pangaea Data's AI platform PALLUX, marking the company's second investment in less than a week as part of its Healthcare from the Eye initiative. The PALLUX platform analyzes patient records to identify untreated and under-treated patients.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

AI-driven precision medicine platform that integrates clinical, molecular, and imaging data with pharma partnerships for patient identification and clinical trial recruitment. Closely aligned with Pangaea's multimodal data and pharma-sponsorship model.

TypeBroad incumbent
Description

Largest real-world data and clinical decision support vendor, serving pharma and providers globally. Indirect competitor given breadth, with overlap in RWD-driven patient identification.

TypeDirect peer
Description

AI-for-clinical-research platform with deep pharma partnerships, focused on patient stratification and real-world data analytics. Highly comparable go-to-market and technology stack to Pangaea.

TypeDirect peer
Description

AI/biomedical informatics platform that derives insights from structured and unstructured clinical data and partners with pharma. Directly comparable multimodal EHR-to-pharma offering.

TypeEmerging player
Description

AI-driven real-world evidence and clinical decision support for oncology, with pharma-sponsored deployments. Comparable in targeting pharma customer base and RWD analytics.

TypeBroad incumbent
Description

Clinical data, real-world evidence, and AI-driven care platforms within Alphabet. Comparable multimodal clinical-to-pharma model at greater scale and capital depth.

TypeEmerging player
Description

Cloud-native AI medical imaging platform integrated into clinical workflows. Adjacent to Pangaea's imaging-modality capability and clinical decision support positioning.

TypeBroad incumbent
Description

Molecular diagnostics and genomic profiling company (Roche) used by pharma for patient identification and clinical trials. Comparable genomics-driven pharma partnership model.

TypeEmerging player
Description

AI-powered clinical imaging and workflow platform, with pharma and provider partnerships. Comparable in combining imaging with clinical decision support.

TypeBroad incumbent
Description

Oncology-focused EHR data and analytics platform (Roche), serving pharma for patient identification and RWD. Comparable in pharma-served real-world clinical data analytics.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat4 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

Named customers2 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

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

Ideal customer profile2 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

Integration2 records

Each record includes

Title, Type, Description, Source

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

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

No data
No data
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

Investors5 records

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 →

Pangaea Data

Healthcare AI Softwarepangaeadata.ai

What Pangaea Data does

Pangaea Data is a London- and San Francisco-headquartered AI software company founded in 2017 that builds the PALLUX platform, a multimodal AI system designed to analyze structured and unstructured patient data — including clinical records, imaging, genomic information, and real-world data — to identify individuals who are undiagnosed, under-treated, or at elevated clinical risk. The company's core application is surfacing patients with conditions where diagnostic delays are long and underdiagnosis is severe, with the lead use case being Alpha-1 Antitrypsin Deficiency (AATD), where it claims up to 90% of U.S. patients remain undiagnosed despite relevant information already existing in medical records. The platform has expanded into adjacent therapeutic areas including COPD, severe asthma, rare disorders, ophthalmology (glaucoma and diabetic retinopathy via integration with Topcon's Harmony platform), and oncology social drivers of health.

The company operates an enterprise go-to-market in which large pharmaceutical companies and healthcare technology vendors sponsor the configuration and deployment of the platform. Strategic multi-year partnerships with Sanofi (AATD deployment across select U.S. health systems and low-income community clinics) and AstraZeneca (global multimodal AI deployment for clinical decision-making, patient identification, and clinical trial recruitment) anchor the commercial model. Additional relationships include a strategic investment and platform integration from Topcon Healthcare and an academic deployment at the University of Illinois Chicago Cancer Center. Pangaea leverages generative and predictive AI capabilities from Microsoft and NVIDIA rather than positioning itself as a foundation model developer.

The business model is enterprise platform licensing via multi-year, sponsor-funded deployments with undisclosed contract values and custom configuration terms. The company is privately held and venture-backed, with disclosed institutional investors including Ascension, Salica, IQ Capital, and Koa Labs (2021 round), alongside a 2025 strategic investment from Topcon Healthcare. With 11-50 employees, Pangaea is an early-stage, commercially scaling company rather than a mature enterprise software vendor, and its revenue, headcount growth rate, and customer count beyond named logos are not publicly disclosed.

Pangaea Data firmographics

Firmographics
Name
Pangaea Data
Legal name
Pangaea Data
Website
https://pangaeadata.ai
Company type
Private
Founded year
2017
Operating status
Operating
Headcount range
11–50 employees
Ownership category
akta.pro rank

Pangaea Data industry classification

Industry
Product category
Healthcare AI Software
NAICS
Software Publishers (5132)
SIC
Services-Misc Health & Allied Services, Nec (8090)
akta.pro primary industry
Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D) (HLAGAJAF)
akta.pro secondary industry
Bioinformatics & Multi-omics Analysis Software (HLAGAJAD)

Keywords

  • Clinical decision support
  • Healthcare AI platform
  • Patient identification software
  • Multimodal medical AI
  • Rare disease diagnostics

Where Pangaea Data is headquartered

Location

Headquarters

HQ city
London
HQ country
United Kingdom
HQ region
Europe

Offices2 records

Markets served

Pangaea Data business model

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

Revenue model

  1. Enterprise Platform Licensing and Deployment: Multi-year enterprise agreements with pharmaceutical companies and healthcare systems where partners sponsor configuration and deployment of Pangaea's AI platform

Go-to-market motion2 records

Distribution channels3 records

Pangaea Data product offering

Product offering

Core offering

Pangaea Data provides the PALLUX platform, a proprietary AI-driven software that analyzes structured and unstructured patient records in real-time to identify underdiagnosed and untreated patients. The platform integrates clinical, imaging, genomic, and real-world data through multimodal AI capabilities (leveraging Microsoft and NVIDIA technologies) to support clinical decision-making for patient identification, diagnosis, treatment, and connection to therapies or clinical trials across conditions including genetic disorders, respiratory diseases, cancer, and eye health.

Product overview

Pangaea Data offers a unified AI platform for population health management and clinical decision support. The core product, PALLUX, is a proprietary AI platform that analyzes structured and unstructured patient data to identify at-risk individuals, supporting early detection of underdiagnosed conditions. The platform integrates clinical, imaging, genomic, and real-world data to enable multimodal AI capabilities for improving patient identification, diagnosis, and connection to appropriate treatments or clinical trials.

Differentiator

Problem solved

Functional benefit

Products and services

  • PALLUX Platform Proprietary AI platform that analyzes structured and unstructured patient records to identify untreated and underdiagnosed patients in real-time, supporting disease detection across multiple therapeutic areas including genetic disorders (e.g., AATD), respiratory conditions (COPD, severe asthma), cancer (SDOH analysis), and eye health (glaucoma, diabetic retinopathy). Designed for pharmaceutical companies, healthcare systems, academic medical centers, and ophthalmology providers.

Quantifiable outcome

  • Up to 90% of people with AATD remain undiagnosed in the U.S.
  • +1 more outcomes

Companies that use Pangaea Data

Customer profile

Named customers2 records

Segments4 records

Ideal customer profiles2 records

Pangaea Data technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability7 records

Feature4 records

Pangaea Data partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core and minor.

  • SanoficoreStrategic or Co-development Partner · 22 June 2026Partnership with Sanofi to deploy an AI platform for detecting Alpha-1 Antitrypsin Deficiency (AATD), a genetic disorder affecting the lungs and liver. The platform will be distributed across select U.S. healthcare systems and low-income community clinics to identify at-risk individuals in real-time.
  • AstraZenecacoreStrategic or Co-development Partner · 5 December 2025Strategic multi-year partnership with AstraZeneca to deploy multimodal AI in clinical settings. AstraZeneca is sponsoring the configuration and deployment of Pangaea's enterprise platform that integrates clinical, imaging, genomic, and real-world data. The collaboration leverages generative and predictive AI capabilities from Microsoft and NVIDIA to scale AI-driven clinical decision-making for patient identification, diagnosis, treatment, and connection to therapies or clinical trials.
  • University of Illinois Chicago Cancer CenterminorStrategic or Co-development Partner · 11 November 2025Pangaea Data's AI platform was adopted by the University of Illinois Chicago Cancer Center to analyze electronic health records and uncover social drivers of health (SDOH) impacting patient outcomes in urologic cancer patients.
  • Topcon HealthcarecoreStrategic or Co-development Partner · 1 May 2025Topcon Healthcare's strategic investment in Pangaea Data's AI platform PALLUX, marking the company's second investment in less than a week as part of its Healthcare from the Eye initiative. The PALLUX platform analyzes patient records to identify untreated and under-treated patients.

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Pangaea Data competitors and assessment

Company assessment

Direct peers

  • Tempus AI: AI-driven precision medicine platform that integrates clinical, molecular, and imaging data with pharma partnerships for patient identification and clinical trial recruitment. Closely aligned with Pangaea's multimodal data and pharma-sponsorship model.
  • Owkin: AI-for-clinical-research platform with deep pharma partnerships, focused on patient stratification and real-world data analytics. Highly comparable go-to-market and technology stack to Pangaea.
  • nference: AI/biomedical informatics platform that derives insights from structured and unstructured clinical data and partners with pharma. Directly comparable multimodal EHR-to-pharma offering.

Broad incumbents

  • IQVIA: Largest real-world data and clinical decision support vendor, serving pharma and providers globally. Indirect competitor given breadth, with overlap in RWD-driven patient identification.
  • Verily (Alphabet): Clinical data, real-world evidence, and AI-driven care platforms within Alphabet. Comparable multimodal clinical-to-pharma model at greater scale and capital depth.
  • Foundation Medicine: Molecular diagnostics and genomic profiling company (Roche) used by pharma for patient identification and clinical trials. Comparable genomics-driven pharma partnership model.
  • Flatiron Health: Oncology-focused EHR data and analytics platform (Roche), serving pharma for patient identification and RWD. Comparable in pharma-served real-world clinical data analytics.

Emerging players

  • ConcertAI: AI-driven real-world evidence and clinical decision support for oncology, with pharma-sponsored deployments. Comparable in targeting pharma customer base and RWD analytics.
  • Arterys: Cloud-native AI medical imaging platform integrated into clinical workflows. Adjacent to Pangaea's imaging-modality capability and clinical decision support positioning.
  • DeepHealth (RadNet): AI-powered clinical imaging and workflow platform, with pharma and provider partnerships. Comparable in combining imaging with clinical decision support.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

Pangaea Data social profiles

Digital presence

Pangaea Data financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Pangaea Data leadership team

Management profile

Number of profiles

Profiles2 records

Pangaea Data funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors5 records

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

Pangaea Data 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 Pangaea Data

What does Pangaea Data do?

Pangaea Data provides the PALLUX platform, a proprietary AI-driven software that analyzes structured and unstructured patient records in real-time to identify underdiagnosed and untreated patients. The platform integrates clinical, imaging, genomic, and real-world data through multimodal AI capabilities (leveraging Microsoft and NVIDIA technologies) to support clinical decision-making for patient identification, diagnosis, treatment, and connection to therapies or clinical trials across conditions including genetic disorders, respiratory diseases, cancer, and eye health.

Is Pangaea Data a public or private company?

Pangaea Data is a private company. It is classified as venture growth investor backed and is currently operating.

When was Pangaea Data founded?

Pangaea Data was founded in 2017. It employs 11 to 50 people.

Where is Pangaea Data based?

Pangaea Data is headquartered in London, United Kingdom, in the Europe region.

How does Pangaea Data make money?

One revenue line is on record: enterprise Platform Licensing and Deployment.

Who are Pangaea Data's main competitors?

Direct peers on record are Tempus AI, Owkin and nference. Broad incumbents are IQVIA, Verily (Alphabet), Foundation Medicine and Flatiron Health. Emerging players are ConcertAI, Arterys and DeepHealth (RadNet).

Does Pangaea Data have an API?

No public API is recorded for Pangaea Data.

What industry is Pangaea Data in?

Pangaea Data's product category is Healthcare AI Software. Its primary akta.pro industry code is HLAGAJAF, Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D), with a secondary code of HLAGAJAD, Bioinformatics & Multi-omics Analysis Software. Its NAICS code is 5132 and its SIC code is 8090.

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Live signals
EIN PresswireOptimum Patient Care & Pangaea Data Launch AI Partnership to Close Care Gaps & Demonstrate Quality Improvement at ScalePangaea Data and Optimum Patient Care announced a partnership to use AI to identify patients in care gaps and support quality improvement. Pangaea's guideline-configured AI platform will process EHRs to find unmet need, while OPC provides networks of healthcare sites, including over 1,200 UK sites with 30 million de-identified patients. The collaboration aims to create a scalable model for demonstrating clinical, operational, and economic impact.EIN PresswirePangaea Data Enters Collaboration with Sanofi to Improve AATD Detection Through AI-Driven Clinical Decision SupportPangaea Data and Sanofi announced a collaboration to deploy Pangaea's AI platform for detecting Alpha-1 Antitrypsin Deficiency (AATD) in U.S. health systems. The platform uses existing EHR data to identify patients, addressing the fact that up to 90% of AATD cases remain undiagnosed in the U.S. The initiative aims to reduce diagnostic delays and expand screening across respiratory and rare diseases.MobiHealthNewsExclusive: Pangaea Data, AstraZeneca leverage AI to detect rare and hard-to-diagnose diseasesPangaea Data and AstraZeneca teamed up to develop AI tools for diagnosing and treating hard-to-diagnose diseases, supported by Microsoft and NVIDIA. Their collaboration includes co-developing AI-enabled diagnostic tools and clinical trial cohorts, leveraging multimodal data and AI infrastructure from Microsoft.PharmiWeb.comThe UK's Autumn budget - Comments from Industry LeadersThe UK Autumn Budget 2025 drew mixed reactions from life sciences, biotech, and healthcare industry leaders, with the BioIndustry Association welcoming extended venture investment tax incentives and employee share options for scale-ups while flagging concerns over increased business rates on laboratory space. Canon Medical Systems UK and healthtech company Pangaea Data both welcomed the £300 million in new NHS technology funding and the creation of 250 Neighbourhood Health Centres, emphasizing the need for investment in diagnostics, AI, and workforce training to reduce waiting lists and boost productivity. The NHS Confederation highlighted the importance of using private capital to address a £16 billion estates maintenance backlog and expressed concern over ongoing strike action and rising drug prices creating budget pressure.PharmiWeb.comPangaea Data’s AI platform adopted by University of Illinois Cancer Center to help clinicians uncover social drivers of health critical for patient carePangaea Data has partnered with the University of Illinois Chicago Cancer Center to demonstrate that its AI platform can uncover social drivers of health buried in electronic health records, analyzing 757,757 clinical notes from 5,585 urologic cancer patients with 94.7% accuracy. The study found that individuals with multiple adverse social determinants of health face up to 2.75 times higher mortality rates, with health literacy (96.7%), substance-use history (93.2%), and mood issues (81.5%) being the most prevalent factors detected. The research aims to help clinicians identify at-risk patients who might otherwise miss guideline-concordant care and deliver more equitable, efficient healthcare.Eyes On EyecarePangaea Data's AI platform receives Topcon investmentTopcon Healthcare has made a strategic investment in Pangaea Data's AI platform PALLUX, marking the company's second investment in less than a week as part of its Healthcare from the Eye initiative. The PALLUX platform analyzes patient records to identify untreated and under-treated patients, and will integrate with Topcon's Harmony digital health platform to help identify patients with undiagnosed glaucoma and diagnosed diabetic retinopathy in need of follow-up care. Pangaea Data, founded in 2017 and headquartered in London and San Francisco, developed the platform to address critical care gaps in eye health and systemic disease.