Value

More data. Cleaner data. Faster insights.

Utilize traditional measures along with digital biomarkers, ecological momentary assessments, actigraphy, and passive health data to better understand the patient journey and be responsive to FDA requirements and questions.

Utilize validated analytics tools across data modalities for precision insights around treatment effect to inform the design of follow-on trials.

Activate, execute, and close your studies in a fraction of the time to generate savings and increase pipeline velocity and value.

Leverage data insights to enhance subject selection, rater and site quality, and mitigate execution risk.

Shorter, smaller trials

Collection of more data and selection of the right subjects can support more agile and effective trial designs and decisions.

  • Exponentially more data collected more quickly to satisfy regulatory demands in shorter, smaller trials
  • Treatment-effect prediction
  • Faster fail-or-file decisions

Lower site and subject burden

Data collected agnostic to source.

  • Fewer devices required to collect data through streamlined integration
  • Single sign-on capability for users across devices
  • Complete web-based solution

Precision, evidence-based insights

Structured multimodal data makes assessment data, recordings, scores, and quality signals easier to review and defend.

  • FDA-required data captured in one platform
  • Clinical review and surveillance support
  • Platform-generated audit reports

Buyer impact

Built to meet sponsor needs and exceed sponsor expectations

EMA Wellness connects the clinical, operational, data, and financial story into one decision-ready platform narrative.

Sponsor

Reduce regulatory risk before submission

Cleaner data supports faster decisions, stronger evidence packages, and higher quality submissions. Sponsor value increases when FDA, patient, and site needs are addressed together.

CRO

Control fragmented trial execution

Avoid disconnected technology and data systems, achieve clearer visibility and less friction across sites, raters, and data workflows.

Clinical / Medical

Endpoint reliability

Support endpoint interpretation through quality oversight, adjudication, and clinical reviews across assessments and recordings.

Data / AI

Leverage analysis-ready clinical datasets

Standardized cross-modal datasets designed for analytics, APIs, LLM quality review, and sponsor data lakes.

Finance / Operations

Cut costs and avoid noise

Reduce cleanup, reconciliation, and manual oversight while supporting faster trial execution.

Sites / Raters / Patients

Simplify assessments

Flexible workflows make participation, assessments, reviews, and follow-up easier with minimal site, rater, and patient burden.

You do not need to abandon how trials work today. You need a better data foundation for what comes next.

Stakeholder alignment

Leverage technology and data to speed regulatory approvals

EMA Wellness frames trial infrastructure around the stakeholders that determine whether data is usable, participation is practical, and evidence is reviewable.

Regulatory satisfaction

Standardized, timestamped, review-ready data supports real-time visibility relative to evidence required by regulators for each trial or compound.

Patients

Reduce patient burden by enabling flexible data collection that meets patients where they are and fits more naturally into daily life.

Sites

Simpler data collection and 24/7 site support.

Commercial outcome

Fail faster or file stronger

Earlier signal visibility, fewer preventable data issues, and stronger evidence help teams make better decisions before cost and risk compound.

Speed

Earlier visibility and faster decision cycles.

Cost control

Less cleanup, reconciliation, and manual review burden.

Quality

Cleaner, more reviewable outcomes evidence across modalities.

Confidence

Better support for trial design, execution, and results.

Make the business case for cleaner trial intelligence.

Align clinical, data, operations, and finance stakeholders around faster access to cleaner, more actionable data.

Meet the team →