Find the patients your therapy hasn't reached.

Turn the real-world data you already use into disease-specific patient leads and priority physicians.

The data is there. The diagnosis isn't.

Potential patients can be present in the data long before the right diagnosis appears.

Known patients. A clear starting point.

Clinical trial participants, expanded access patients, and patients on therapy form the reference cohort for the condition you treat.

Weight the signals. Define the signature.

Diagnoses, prescriptions, procedures, referrals, and timing form the RareTrace.AI Signature, weighted for the condition you treat.

Search broadly. Match specifically.

Apply that signature across the broader population to surface records that show the same early signals as your confirmed patients.

Potential matches, ready for a closer look.

Rank the leads. Focus the field.

Turn the strongest patient leads into the priority physicians for your commercial team to contact, with supporting signals delivered to your commercial CRM.

A specific reason to engage. In the workflow your reps already use.

A patient on therapy. A sharper next search.

When a patient starts therapy, their diagnostic profile joins the reference cohort and sharpens the next search.

Every week. Another search.

New real-world data refreshes the search. New patients on therapy refine the signature. The next cycle starts with what you've learned.

See what reaches your team

Skip to the output

From real-world data to real-world action.

One condition. A specific signature.

The search starts with the patients you know and ends with priorities your team can act on.

Learn from confirmed patients.

Clinical trials, expanded access, and patients on therapy establish the condition-specific starting point.

Connect and weight the signals.

Diagnoses, prescriptions, procedures, and timing become the RareTrace.AI Signature.

Find the pattern in the population.

Search broader real-world records for potential patients with that same signature.

Put the strongest leads to work.

Rank the matches, map them to the physicians who treat them, and deliver the supporting signals to your CRM.

Each new patient on therapy adds a profile that refines the next search.

More than a match. A next move.

Give your field team the priorities and context to direct disease-state education where it is most relevant.

Ranked patient leads

Potential patients prioritized by how their records match the condition-specific signature.

Priority physicians

Leads connected to the physicians who treat them, giving your team a focused starting point for outreach.

Supporting signals

The context behind each lead, so your team can understand why it surfaced.

Delivery into your CRM

Ranked leads and their supporting signals, delivered into your existing commercial workflow.

Why the wait matters.

4.7 years

Average time to a rare disease diagnosis¹

56%

Diagnosed more than six months after their first medical contact¹

3.5 to 5.9%

Of the world's population living with a rare disease at any given time²

2 to 3

Misdiagnoses before an accurate one, seeing up to eight physicians³

Sources

1. Faye F, et al. Time to diagnosis and determinants of diagnostic delays of people living with a rare disease: results of a Rare Barometer retrospective patient survey. European Journal of Human Genetics, 2024. Survey of 6,507 people living with 1,675 rare diseases in 41 European countries.
2. Nguengang Wakap S, et al. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database. European Journal of Human Genetics, 2020. Estimated 263 to 446 million people affected globally at any point in time.
3. Shire. Rare Disease Impact Report: Insights from patients and the medical community, 2013. Company-sponsored survey of more than 1,000 patients, caregivers, physicians, and payers in the US and UK.

Your therapy. Your data. Your next patients.

Start with the condition you treat, the patients you know, and the data sources you already use.