For pharma & researchers

Better data for faster, more successful trials

Oku detects disease biomarkers from routine eye exams. Earlier and precise AI-enabled retinal imaging analysis mean data-driven trial design, enriched cohorts, and faster path to approval.

Join the Network

Most trial failures are not scientific failures

Drug development has lengthy timelines and low success rates. Treatment-naïve, early disease, or enriched populations with real disease progression are seeking treatment at the point of care. What has been missing in the field is the infrastructure to find these patients at scale, through referral channels embedded in routine care, generating longitudinal data and advanced imaging analysis that compounds with every visit.

90%

of drugs entering Phase I trials never reach approval,1 and success rates are falling at every clinical phase.2

$2B+

cost to bring a single drug to market3

7-10 yr

average development timeline4

Sources (4)
  1. Thomas D, Chancellor D, Micklus A, LaFever S, Hay M, Chaudhuri S, et al. Clinical development success rates and contributing factors 2011-2020 [Internet]. Washington (DC): Biotechnology Innovation Organization; 2021 [cited 2026 Oct 5]. Available from: https://go.bio.org/rs/490-EHZ-999/images/ClinicalDevelopmentSuccessRates2011_2020.pdf
  2. Chancellor D. Why are clinical development success rates falling? [Internet]. Citeline; 2024 [cited 2026 Oct 5]. Available from: https://insights.citeline.com/IV154612/Why-Are-Clinical-Development-Success-Rates-Falling/
  3. DiMasi JA, Grabowski HG, Hansen RW. Innovation in the pharmaceutical industry: new estimates of R&D costs. J Health Econ. 2016;47:20-33. doi: 10.1016/j.jhealeco.2016.01.012
  4. IQVIA Institute for Human Data Science. Global trends in R&D 2025: progress in recapturing momentum in biopharma innovation [Internet]. Parsippany (NJ): IQVIA Institute; 2025 [cited 2026 Oct 5]. Available from: https://www.iqvia.com/insights/the-iqvia-institute/reports-and-publications/reports/global-trends-in-r-and-d-2025
Medical professional in clinic

One exam. A more connected path to care.

Risk caught too late, referrals that never close, patients lost between providers. Each Oku solution addresses a specific break in the care pathway, and they compound: the same exam that surfaces chronic risk connects the patient to the right provider and keeps the whole care team informed.

Built to accelerate drug development

Oku is designed as a connected care infrastructure, not a data vendor that ships files and steps back. A partnership with Oku means access to the data network, integration with existing clinical workflows, and the ability to develop trial enrichment criteria, trial endpoints and innovative trial designs anchored in real-world data. Reading center precision. Smarter patient finding. Real-world evidence.

( 01 )

Real-World Data and Evidence

License longitudinal, AI-labeled ocular data for your own research, or bring Oku the scientific question and get the real-world evidence for data-driven trial design, post-market surveillance, or commercial development.

Learn more

( 02 )

Patient and Site Finding

AI-enabled trial-specific patient screening runs in the primary eye care and primary care settings where early-stage, treatment-naive, or enriched patients are seen every day. A larger patient pool, fewer screen failures, faster enrollment.

Learn more

( 03 )

Expert Reading Center Services

Centralized adjudication of imaging and functional trial data using state-of-the-art methodologies. The hybrid model, AI-enabled readings verified by human experts, reduces variability, safeguards data integrity, and accelerates regulatory submissions.

Learn more

Leveraging ophthalmic images and data to expedite new therapeutics

The same routine eye exam carries data across therapeutic indications. One clinical network. Multiple scientific discovery pathways.

Peer-reviewed oculomics publications have grown more than sixtyfold since 2020.1

Source (1)
  1. PubMed [Internet]. Bethesda (MD): National Library of Medicine (US). Search: oculomics[tiab], publication years 2020 and 2026 [cited 2026 Oct 5]. Available from: https://pubmed.ncbi.nlm.nih.gov/?term=oculomics%5Btiab%5D
See the Research

Ocular diseases

Diabetic retinopathy, diabetic macular edema, exudative age-related macular degeneration, intermediate age-related macular degeneration and geographic atrophy, inherited retinal diseases, glaucoma, and other core ophthalmic indications, already the most mature and validated data layer in the network.

Cardiovascular, renal & metabolic disease

Retinal microvascular changes detectable through the same eye exam that signal cardiovascular, renal and metabolic risk predictions, often years before a systemic diagnosis is made, an association validated across a rapidly growing body of peer-reviewed research.

Neurodegenerative disease

Multimodal retinal imaging analysis, including microvascular or retinal ganglion cell and nerve fiber layer changes that are associated with neurodegenerative conditions, detectable through the same eye exam, and among the earliest biomarkers that researchers are studying for neurodegenerative disease detection.

Researcher working with clinical data on a laptop

Built to your protocol

Oku identifies and connects the right patients for your trial or cohort, drawing on the same longitudinal data powering every category above.

Drug Lifecycle

One data layer, every stage of clinical drug development

Most data vendors solve for narrow trial needs only. Oku infrastructure and network data creates value from drug discovery and trial design through post-market surveillance.

( 01 )

Drug Discovery & Trial Design

Validate biomarkers and prioritize indications with real-world ocular data, from early-stage Phase 1 or 2 trials to Phase 3 pivotal trials. Refine eligibility criteria, trial design, and endpoint analysis based on real world evidence, not past assumptions from the general literature.

( 02 )

Recruitment & Enrollment

Recruit treatment-naive, early disease cases, or enriched populations by identifying eligible patients where they already are, across primary eye care and primary care. A larger patient pool, fewer screen failures, faster enrollment.

( 03 )

Imaging & Endpoint Analysis

Standardized imaging endpoints, read by AI and verified by experts. Audit-ready data with full provenance, submission-grade from collection.

( 04 )

Post-Market Surveillance & Access Claims

Real-world data from transversal or longitudinal cohorts, matching or expanding the trial population. Track outcomes and safety signals, and support label claims at scale without Registries or Phase 4 trials.

Compliance built in, not bolted on

Most reading centers retrofit compliance onto legacy workflows after the fact. Oku was architected compliance-native from day one, so every scan, dataset, and output is submission-ready by design, not by patchwork.

That difference shows up in the pipeline: fewer remediation cycles, fewer surprises at audit, and data your regulatory team doesn't have to re-verify before it can be used.

HIPAA
21 CFR Part 11
GxP
ISO 27001
SOC 2 Type II
GDPR
Audit: every data point carries an immutable trail
Scale: 50,000+ imaging devices feed the network's proprietary dataset
Source (1)
  1. Oku Digital Health, Inc. Oku company data [data on file]. La Jolla (CA): Oku Digital Health, Inc.; 2026 Jun.
Three researchers in lab coats reviewing data on a laptop in a laboratory

Data-driven, faster trials, higher probability of technical success

See how real-world data can support your pipeline

By submitting this form, you acknowledge that you have read the Oku Privacy Notice and that Oku will process your personal information as described in it.

Thanks, your message has been sent. Someone from the Oku team will be in touch shortly.