Data Science

We turn scattered healthcare and life sciences data into decisions you can act on. Our pipelines, models and reports run in accounts you own and answer the questions operators and boards ask.

How we build with your data

Our senior data engineers and analysts work with whoever owns the numbers on your side. Together we decide what each number means and check it against its source.

  1. We start with the slowest reportWe find the report that takes days to put together for a sponsor, a board or a portfolio review. We make it run from your own systems first.
  2. Every metric gets an ownerEach definition is written down and approved by the person who owns it, so a number means the same thing in every report.
  3. Pipelines run on their ownData comes in from each system on a schedule, gets matched and cleaned, and every number traces back to where it came from.
  4. Models are checked against what happenedForecasts and scores appear in the reports your team already opens, and we compare them with real results as they come in.

Why the numbers don't match

A company that funds a session at a society's meeting wants to know how many clinicians attended, how they rated it and how many later took the recorded course. Those numbers sit in the registration system, the meeting app and the learning platform, and each one counts people its own way.

A pharma team's knowledge of the doctors it works with is spread out the same way, across CRM notes, event lists and research reports that are hard to compare.

In a healthcare PE portfolio, every add-on arrives with its own software. Visits, revenue and staffing don't line up across sites, so each portfolio review starts with an argument about whose spreadsheet is right.

An analyst walking a director through a report on a large screen
  • Medical societies
  • Pharma and biotech
  • Operating partners

One set of numbers, in your accounts.

  • Each person matched across systems
  • Every number traced to its source

What we build

Everything we build runs in your cloud accounts, on top of the tools you already use, so the history stays with you whatever you use next.

  • Pipelines from every system. We pull data from your registration, apps, learning, CRM, scheduling and billing systems on a schedule and bring it into one place you own.
  • Data moved out of old systems. We match, clean and move records from old platforms, spreadsheets and vendors, and give you a report of every record that didn't match.
  • One record per person. We match each member or clinician across registration, apps, learning and your CRM, and a person reviews any match the rules can't settle.
  • One view across sites and companies. We map each location's systems to the same definitions, so leadership sees one set of numbers for every team and site.
  • Models and forecasts. We build forecasts and scoring models on your own records, test them against the cases your team cares about, and show the results where decisions get made.

When someone wants an answer in a chat tool, rather than a report, an AI agent can pull from the same data.

The pipelines behind Dermsquared

For HCEsquared, the company behind Dermsquared, we built the data pipelines that bring its events, app and learning data together. When Dermsquared moved off its rented conference app, its data came too, into accounts Dermsquared owns. The Dermsquared case study covers that move.

An executive and an analyst going over printed charts
39%
of accredited CME activities in 2025 measured learner performance.
ACCME Data Report, 2026 ↗
A hand marking up a printed bar chart beside a laptop
63%
of organizations don't have, or aren't sure they have, data practices ready for AI.
Gartner, 2025 ↗

Questions we hear

  • Do we have to replace our systems?

    No. We read from the systems you already use and bring their data together in an account you own. Your staff keep working the way they do now.

  • Where do you start?

    With the report that takes longest to put together, for a sponsor, a board or a portfolio review. We make that one run from your own systems first, with every number traced to its source.

  • What if moving the data goes wrong?

    We rehearse the move on copies of your real data and send you a report of every record that didn't match. Old and new run side by side until the numbers agree.

  • Who owns the data?

    You do. The pipelines, the definitions, the models and the reports live in your accounts from the first day, under your agreements.

  • Are you HIPAA compliant?

    We design for HIPAA and FHIR from the first line, and we'll walk your team through the controls. The data stays in your own accounts the whole time.

More capabilities

We'd love to chat.

Bring what's slow, rented or stuck. You'll leave with what we'd build first and how long it takes.

Book a call