Koneksa vs Delve Health

Koneksa validates the biomarker. Delve protects the data that feeds it.

Koneksa has built a real regulatory-grade digital-biomarker validation pipeline across respiratory, oncology, and neuro. But a validated biomarker is only as good as the data reaching it, and Koneksa leans on others for wear-time and patient execution. Delve owns signal quality and wear-time recovery so the biomarker has complete data to work with.

Validated endpoints · Signal quality · Human concierge · Documented outcomes

Koneksa bets on analytics and validation depth. Delve bets on owning the capture, signal QC, and human wear-time recovery that feed those analytics. The two can be complementary; the question is who guarantees the data shows up.

Where wearable studies actually fail

Validation is downstream of wear-time.

Koneksa's validation pipeline is a genuine strength, turning sensor data into regulatory-grade endpoints across respiratory, oncology, and neuro. But validation assumes the data arrived complete. In real studies the data is incomplete because participants stop wearing devices and sync failures go uncaught upstream. Koneksa's model relies on others for that execution. Delve owns it: signal QC plus concierge wear-time recovery in 120+ languages.

Bottom line: If you want a specialist biomarker-validation partner and you have capture and engagement handled, Koneksa is strong. If you want one platform that captures, protects, and validates wearable data with wear-time recovery built in, Delve is the better-fitting choice.

Where Koneksa and Delve genuinely overlap

At the capability level, both can support a modern wearable-enabled trial. Both typically offer:

  • Validated digital biomarkers and regulatory-grade endpoints
  • Respiratory, oncology, and neuro endpoint experience
  • Multi-sensor digital measure development
  • A focus on submission-ready, defensible data

The differences show up once you ask what happens when a participant stops wearing the device, when a sensor produces unusable data, or when an endpoint depends on validated algorithms across more than one device.

Koneksa and Delve Health share core wearable data capabilities

Side-by-side comparison

Koneksa vs Delve Health: capability comparison

The table reflects publicly documented positioning and standard delivery models for each platform. Specific configurations vary by contract.

CapabilityKoneksaDelve Health
Signal quality & endpoint integrity
Validated digital-endpoint algorithmsYes — validation pipeline70+ algorithms across 25+ devices
Data capture & device integrationIntegrates sensor dataOwned, device-agnostic
Signal quality control / completenessAnalytics-level QCOwned QC at capture
Wear-time recovery (human)Relies on othersConcierge in 120+ languages
Human concierge patient supportNo120+ languages built in
eCOA / ePRO includedBiomarker analytics focusFully configurable eCOA
Device logistics & provisioningPartner-dependentEnd-to-end across devices
Per-study completion accountabilityCustomer-driven92–98% documented per study
Compliance posture (HIPAA, GDPR, 21 CFR Part 11, GCP, ISO 27001)YesYes

Why wearable-heavy studies pick Delve

Four reasons sponsors choose Delve when wearable endpoint integrity, wear-time, or retention is the deliverable — not the customer's problem to solve.

92–98%

Completion is the deliverable

Delve publishes documented 92–98% per-study eCOA/ePRO completion ranges and up to 63% retention uplift in long-duration cohorts — platform-owned, not the customer's problem to solve.

70+

Validated algorithms across many devices

70+ validated digital-endpoint algorithms across 25+ devices on one harmonized data layer that normalizes units, sampling rates, time bases, QC flags, and algorithm versions.

QC

Signal quality, owned end-to-end

Signal quality control validates completeness, flags drift, and catches sync failures before data is lost — not discovered at database lock.

120+

Humans recover wear-time

Concierge-as-a-Service in 120+ languages recovers participants before wear-time decays — proactive outreach, device troubleshooting, escalation.

Which platform fits your study

Choose the platform that fits your operating model

Choose Koneksa if…

  • You want a dedicated digital-biomarker validation partner
  • Your endpoints are respiratory, oncology, or neuro and need a validation pipeline
  • You already have capture, wear-time, and engagement handled
  • You want an analytics-led, validation-first engagement

Choose Delve Health if…

  • You want capture, signal QC, and wear-time owned in one platform
  • You need validated algorithms across many devices, not analysis alone
  • You need human concierge wear-time recovery in 120+ languages
  • You want eCOA, logistics, and analytics together
  • You want documented per-study completion (92–98%)

Frequently asked questions

Questions sponsors ask when comparing Koneksa and Delve Health

Is Delve Health a Koneksa alternative?

Yes, with a different emphasis. Koneksa specializes in digital-biomarker validation and analytics. Delve owns the full chain: device-agnostic capture, signal quality control, validated algorithms, wear-time recovery, eCOA, and concierge. Teams that want one accountable platform for data quality and completion typically prefer Delve.

Why does wear-time matter for biomarker validation?

A validated biomarker still needs complete data. If participants stop wearing the device or sync fails, the analysis has gaps no matter how good the validation pipeline is. Delve protects the upstream data with signal QC and concierge wear-time recovery so the biomarker has complete input.

Does Koneksa provide human patient support and wear-time recovery?

Koneksa is analytics- and validation-led and generally relies on others for capture and patient execution. Delve includes Concierge-as-a-Service in 120+ languages that proactively recovers wear-time before data is lost.

Can Delve and a biomarker specialist coexist in a study?

Yes. Delve can own capture, QC, and wear-time while a specialist contributes validation, or Delve can run validated algorithms end-to-end. The deciding question is who is accountable for the data quality the validation depends on.

Which is better for respiratory, oncology, or neuro endpoints?

Both can support these areas. Koneksa offers a deep validation pipeline; Delve runs validated algorithms across many devices and adds the signal QC and wear-time execution that keep the endpoint data complete across the study.

Evaluating Delve against Koneksa?

Ask each vendor one question: what happens to your endpoint when a participant stops wearing the device? The answer tells you more than any device list.

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