For Pharma

The real-world evidence that does not exist anywhere else.

Intervention, continuous physiology, and outcome, captured at the same time. This is the dose-response evidence pharma spends roughly $2.3 billion per approved drug trying to generate, and it has never been collected this way.

The evidence gap

The most expensive evidence in medicine is the evidence no one can collect.

Drug development can prove that a molecule is safe and effective in a trial. What it cannot show is how the body actually responds, dose by dose, once the drug leaves the controlled setting. The continuous physiological response is the missing variable, and it is the variable that decides real-world value.

A focused healthcare researcher in a white lab coat with a stethoscope reviewing clinical data on a laptop at a bright, modern workstation.
The response in between · a guess
The same window · an objective signal
$2.3B spent on real-world evidence per approved drug, much of it on data that still lacks continuous physiology.
Industry estimate.
Claims and charts

EHR claims and chart data capture what was prescribed, not how the body responded to it.

Trial data

Trial data ends at study close and rarely includes continuous, between-visit physiology.

How Bardel solves it

One record links the dose to the body's response to the outcome.

Trak+ is the intelligence layer that captures the physiological signal others miss, from a phone camera, a watch, a chest strap, or a clinical monitor. Every therapeutic session writes a single linked record: what was given, how the body responded in real time, and what happened next. That linkage is the asset.

  • Intervention

    The treatment, the dose, and the timing, captured as given, not recalled later.

  • Continuous physiology

    The body's response between visits, read as a structured signal, not just its volume.

  • Outcome

    The result the response produced, tied back to the exact intervention that drove it.

one continuous dose-response record

The capability

Baseline, response, trajectory, on the same axis.

Bardel captures the phenotype as a baseline, measures the change in real time, and reveals the pattern across a course of therapy. The result is a complete picture of how the body is responding, and every read returns a clear answer: strong responder, moderate, non-responder, or adverse.

Baseline Response Trajectory

Use cases

Where a continuous dose-response record changes the work.

Real-world dose-response evidence

Show how the body responds across the real dosing range and the real patient mix, not just the narrow window a trial protocol allows. The continuous response curve that simulation and chart review can only approximate.

Post-market response surveillance

Watch how a marketed therapy performs in the field, session by session, and surface non-response and adverse patterns early enough to inform clinicians and protect the franchise.

Trial enrichment and response-based cohorts

Define and recruit cohorts by how patients actually respond, not by proxy criteria. Enrich studies with objective, between-visit physiology that the existing toolkit cannot reach.

Why it is defensible

A dataset no one else has, in a category that already proved its worth.

Real-world evidence is already one of the most valuable assets in medicine, and the companies that built it did so on data that records what was prescribed, not how the body responded. Bardel captures something those sources structurally cannot: the body's continuous response, linked to the exact intervention that drove it.

A research scientist working in a modern laboratory, where real-world evidence is generated.

What everyone else has

  • EHR and claims that record what was prescribed
  • Trial data that stops at the study close
  • Patient-reported scores collected at the visit
  • Outcomes with no continuous physiology to explain them

What Bardel records

  • The intervention captured as it is delivered
  • Continuous physiological response between visits
  • Baseline, response, and trajectory on one axis
  • Outcome linked back to the dose that drove it

The opportunity

A data layer that compounds, structured around the questions you need answered.

Bardel partners with pharma to make the dose-response dataset answer real commercial and clinical questions, scoped to the therapeutic area and the depth of the response window that matters to you. As the platform grows across devices, states, and sessions, the evidence does not just get bigger. It gets richer, and every new record raises the value of the rest.

850+

therapeutic sessions captured to date, each one a linked intervention, response, and outcome record, with the dataset growing across 33 states.

Proof and partnership

Real data today, advised by people who have launched the drugs you sell.

This is not a thesis on a slide. The platform is live, the science is peer-reviewed, and the dataset is being captured in the field as of 2026.

Decades of peer-reviewed cardiac research
850+ therapeutic sessions captured
75 devices live across 33 states
78% monthly retention, as of 2026
Jeremy Shepler, Pharma Commercialization Advisor

Advised by

Jeremy Shepler

Pharma commercialization advisor. Led the U.S. Ozempic launch at Novo Nordisk, and former VP, Global Commercial at Johnson & Johnson. He knows exactly what evidence moves a franchise, and which evidence has never existed.

Let's build the evidence that was never possible to collect.

See the platform, or open a conversation about the dose-response dataset for your therapeutic area.