Viking Clinical logo.

    Study optimization for eye care trials.

    Design the protocol. Choose the sites. Find the patients.

    Viking Clinical is study optimization for ophthalmology trials. Real-world ophthalmic data shows how many eligible patients exist, where they are, and which sites can reach them, before you commit time and budget. Every patient-facing step is approved by the site first.

    Discuss Your Study
    From protocol to enrollment

    THREE STEPS

    1. 01

      Feasibility and protocol design

      See the eligible patient count, and how a change in criteria changes it.

    2. 02

      Site selection

      A ranked list of sites near the patients, with a reason for each.

    3. 03

      Patient identification

      Each site finds its own eligible patients, through a workflow it approves.

    Site-approved
    Each site stays in control.
    Data Breadth

    One of the largest ophthalmic datasets, built for decisions before the trial begins.

    Data network coverage

    • 80M+ de-identified patients
    • 20,000+ eye care locations nationwideAbout 6,000 in ophthalmology
    • 7 years of history
    • All 50 states

    What the data can tell you.

    Aggregated, de-identified ophthalmic data, refreshed monthly and built for feasibility and site selection.

    Conditions

    Patient counts by condition, from common ones such as dry eye, glaucoma, wet AMD, diabetic eye disease, myopia, and cataract, to rare ones such as fungal keratitis.

    Treatment status

    Treatment-naive and previously treated patients for select conditions.

    Treatment patterns

    Injections, drops, and surgical procedures, by class.

    Patient mix

    Age group, sex, and region.

    Visit patterns

    New and established patients, and how often they return.

    Site profile

    Ophthalmology or optometry, subspecialty, practice size, and tests performed.

    Tell us your indication and criteria. We will show you what the data can answer.

    Discuss Your Study

    Study optimization, from protocol to enrollment.

    From protocol design through enrollment, Viking Clinical answers three questions: where are the eligible patients, which sites can deliver, and how do we reach patients responsibly?

    Viking never holds identifiable patient information. Each site identifies and contacts its own patients.

    Who it's for

    Sponsors and biotech teams planning or running eye care trials, and the CROs that support them.

    Why it's different

    Most ophthalmology trial feasibility relies on past site performance and self-reported numbers. Viking Clinical adds real-world ophthalmic data, so site selection carries less risk and enrollment moves faster, with each site in control.

    For sponsors

    Time. A study that enrolls on schedule protects budget and runway.

    For CROs

    A stronger bid, backed by real patient counts.

    How It Works

    01

    Feasibility and protocol design

    Before you commit, see aggregated, region-level estimates of eligible patients and candidate sites, and how a change in inclusion or exclusion criteria changes those numbers.

    02

    Site selection and activation

    Once a study moves forward, Viking Clinical delivers a ranked list of sites: proven sites checked against real-world ophthalmic data, plus new sites beyond the ones you already use, with a clear, data-informed reason for each.

    03

    Patient identification

    Eligibility criteria become a documented workflow that each site reviews and approves. Each site identifies and contacts its own patients.

    Building a research-ready site network, by consent.

    Viking is now enrolling eye care practices that choose to be pre-qualified for studies. Sites join by choice, so outreach starts warm.

    A patient faces a clinician beside slit-lamp examination equipment.

    How we work.

    Viking Clinical pairs real-world ophthalmic data with analysts who review every output before it reaches you.

    Governed by design

    Aggregated data, no identifiable patient information, and site approval at every patient-facing step.

    Documented methodology

    Findings labeled as observed, modeled, or inferred, so teams know how much to lean on them.

    Human plus AI

    Viking's analysts review every output, so nothing is just generated.

    Are you an eye care practice interested in research, with or without trial experience? Join the Viking Practice Network.

    Talk to us

    Planning an eye care trial, or behind on enrollment? Start with real patient counts.

    Tell us your indication and criteria. We will show you where the eligible patients are and which sites can reach them.