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  Not just endpoints - impact

We Redefined How Clinical Evidence is Generated - Digitally, Remotely, and Intelligently

Koneksa began as a pioneer in digital biomarkers — proving the value of our approach by designing and executing clinical studies.
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Today, our platform unlocks new signals in complex, multimodal datasets—

Integrating digital biomarkers, wearable sensors, and traditional clinical data. We go beyond endpoints to deliver insights that improve trial design, accelerate decision-making, and deepen understanding of disease.
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Who We Are

Your Clinical Data Innovation Partner

Koneksa Health accelerates drug development by powering evidence generation across clinical trials and real-world settings.
  • We design and support studies end-to-end—integrating traditional biomarkers and generating digital biomarkers to uncover new signals in complex clinical data.

  • Our proprietary platform enables remote, patient-centric data collection via wearables and mobile tech, delivering validated digital endpoints across multiple therapeutic areas.

  • Backed by expert services in science, regulatory, and data analytics, we optimize trial design, streamline data pipelines, and develop models that drive smarter, faster clinical decisions.

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What We Offer

Solutions That Move Medicine -
Faster, Smarter, Further


Clinical Trial
Design & Execution 

Design and execute remote-first, patient-centric trials that enhance retention, reduce burden, and unlock new and greater insights.​​

 
Professional
Services

Partner with our scientific, clinical, and regulatory experts to design, implement, and validate digital strategies across the drug development lifecycle.​

 
Digital
Endpoints

Capture continuous, real-world data using validated measures built for regulatory confidence and scientific rigor.

​Data Science,
AI/ML, and
Statistical Services

Unlock deeper insights from complex longitudinal datasets through advanced analytics, machine learning models, predictive algorithms, and rigorous statistical analysis - optimized for decision-making.​


Analog
Endpoints

Integrate traditional clinical measures—such as lab tests, imaging, and functional assessments—into a unified data stream alongside digital biomarkers to create a holistic, multimodal evidence package.

 
SaaS Platform
Licensing

Deploy our flexible, sensor-agnostic platform to operationalize digital endpoints- with optional modules for data science consulting, custom algorithm integration, and regulatory reporting.

White Waves

Access to and Generation of Multimodal Data Sets

We design and integrate multimodal data from both traditional and digital clinical studies—including outputs from mobile apps, wearables, and conventional trial measures—
into scalable pipelines for analysis, export, and new signal discovery.
Co-develop a model
License Koneksa's models
Bring your own model

The Koneksa Platform is designed to support flexible and regulatory-aligned evidence generation

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Impact and Outcomes Enabled by Koneksa's Multimodal Data Platform

Novel

Algorithms to Predict Disease Progression

Advanced modeling enables earlier and more accurate insights into patient trajectories.

CATALOG

 

Faster,

Smarter Trials

Efficient data pipelines accelerate trial timelines and decision-making.

 

Patient-

Enriched Trial

Design​

Smarter stratification and eligibility criteria increase relevance and impact.

 

Therapeutic

Impact

Supported 50+ clinical programs across neurology, oncology, respiratory, and rare diseases.

20

 

Improved Signal

Detection and Statistical Power​

Frequent high-precision measures reduces noise and enhances results clarity

 

Evidence

Generation

Peer-reviewed publications, posters and intellectual property items.

 

Greater Study Participant Engagement

Seamless digital integration improves adherence and data completeness.

 

Adoption by

Industry Leaders

Trusted by leading biopharma, CROs, and academic research consortia.

Case Study

How Our Models Help Predict Parkinson’s Risk

In partnership with the Michael J. Fox Foundation and Verily, we supported an initiative to detect early Parkinson’s risk using smartwatch-derived features

  • The dataset included 32 TB of smartwatch data -

         (150,000 files from 350 participants).

  • Our team developed a composite machine learning predictor that effectively stratified individuals into high- and low-risk groups.

  • The resulting digital risk index predicted clinical test outcomes and supported identification of individuals at elevated risk for targeted intervention.

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Verily watch
  • Our scaled compute allowed 10 - 20x faster delivery of extracted insights

Data Sources

Extracted Physiological Features

Activity

Gait

Vital Signs

Sleep

Integrated Machine Learning Model

Development of Risk Index

Risk is Associated with Clinical Severity

See the Science in Action

Featured Peer Reviewed Publications 

Expanding the Future of Evidence

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MANUSCRIPT
Impacts On Study Design When Implementing Digital Measures In Parkinson's Disease-Modifying Therapy Trials:
MANUSCRIPT
A Proposed Multi-Domain, Digital Model For Capturing Functional Status And Health-Related Quality Of Life In Oncology:
MANUSCRIPT
A Patient Centric Model For Vaso-Occlusive Crises In Sickle Cell Disease — Outcomes Of A Consensus Exercise Conducted  Across Patients And Experts

Select Clients and Partners

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"Digital technologies provide an opportunity to quantitatively and objectively assess disease progression and treatment effect in people with Parkinson’s disease”

Dr. Aubrey Stoch, Head of Translational Medicine,

Merck Research Laboratories

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Press + Media

The Latest From Koneksa

Get Started

Ready to Transform Your Clinical Strategy?

Connect with our experts to explore how Koneksa can accelerate your evidence generation efforts.
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