Turn raw healthcare data into the finding that changes your next quarter.

Our brand-tailored AI agents autonomously surface hidden opportunities and care gaps from deep repositories of claims, formulary, and reference data. You get a ready-to-present strategy, including a clear business case with specific HCPs, accounts, and payers to engage — no integration needed.

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What we do

Two ways to work with us.

Most analytics, human or AI, spend their attention on the question you bring. One question, one answer. The finding that changes a quarter usually sits between hundreds of cross-tabs no one thought to triangulate.

Researcher

Bring a question.

Your consultant in a pocket. One brand or access question. The defensible answer in five business days, with the mechanism and the accounts behind it.

  • Where pull-through breaks after a coverage win — the specialty pharmacy, the practice, the prescriber.
  • Whether growth is coming from new writers or deeper adoption in existing practices.
  • Which accounts a competitor's launch will take first, based on who moved last time.
  • Where patients go when they leave your brand and why.
  • Whether a rebate moved share, or paid for control the payer didn't have.
  • Who actually changed after a campaign, not just who was reached.

Sonar

Watches what you aren't.

Every brand team tracks a set of numbers. Sonar goes after what sits between them.

  • Monthly or quarterly, it runs across the dimensions your team tracks and the ones nobody set up a report for, and tells you what changed.
  • A growth pocket no one is calling on. Prescribers starting to slip while it's still recoverable. A gross-to-net driver moving a quarter before reconciliation shows it.
  • It knows the numbers you already watch, so a readout explains what moved underneath them rather than restating them.
  • Each readout: what moved, the reason behind it, and — as applicable — the accounts driving it with a profile on each, specific enough to act on with minimal resources.

What you receive

Researcher or Sonar, every project ends with the same five things.

  1. 1

    An online report. The full finding and every cut behind it.

  2. 2

    An assistant on the report that answers follow-up questions on your own time.

  3. 3

    The entities behind the finding. HCPs, accounts, specialty pharmacies, infusion centers, payers — as applicable to the finding — each with a behavioral profile, exportable to your CRM. The outsized drivers, not a spreadsheet no one reads.

  4. 4

    A live readout with your account strategy partner — the Flyway analyst who conducted the run and audited the results — and the same partner for follow-ups.

  5. 5

    A deck you can forward: the finding, the mechanism, and any accounts behind it, ready for a leadership meeting.

How it works

One interview to set up.
Then the run and the readout.

Step 0

Brand interview. Once.

One structured session. What your team tracks, what you've tried, the competitive logic that isn't in any dataset. From here the agent is tailored to your brand. The data is licensed and included, so there is nothing to integrate unless you want to add your own — we're data agnostic.

Step 1

The run.

Your question — or, for Sonar, no question — worked across every dimension of the data. Cuts that fail the confounder and sensitivity checks are dropped. An analyst reads what’s left. Five business days.

Step 2

The readout.

The answer, the accounts, and what the data can't tell you. Then the next question, or the next month.

Per question, or on a regular cadence

Why we're different

Claims are hard to read.

Claims are not hard to query. They’re hard to read. A quarter of taxonomy-coded PCPs are cardiologists. A reversal isn’t a fill. Free goods leave no paid claim. Two reasonable definitions of "discontinued" produce two different markets. Each of these turns a clean number into a wrong one, and a confident tool won’t tell you which happened.

That knowledge is baked into our agents. Every trap is encoded in how the run reads the data, so a finding has to survive all of them before anyone sees it. An analyst with commercial pharma experience then validates that the finding is material to your team. What reaches you is a conclusion about the market, not an artifact of the dataset.

  • It answers a question you didn’t ask. The run searches the market around your question, and what it finds on the way is often the more useful half.
  • It knows what you already know. The agent is tailored to your methodologies, definitions, and priorities, so the run starts from your baseline rather than a generic one — and the readout doesn't repeat the dashboards you already have.
  • It names accounts and states its limits. Every applicable finding comes with the HCPs and sites behind it, and with what claims can't show.
  • It arrives in five business days, at a price that lets you ask every month. You commission more questions without giving up depth on any of them.

Advisors

  • Portrait of Kıvanç Aydın

    Kıvanç Aydın

    Former Manager, ZS

  • Portrait of Scott Howell, MD

    Scott Howell, MD

    Former U.S. Chief Strategy Officer, Novartis

  • Portrait of Terence Linehan

    Terence Linehan

    Former Vice President, Market Access Operations, Pfizer

  • Portrait of Troy Sarich

    Troy Sarich

    Former Chief Commercial Data Science Officer, Johnson & Johnson

  • Portrait of Hal Stern

    Hal Stern

    Former CIO, R&D, Johnson & Johnson

Backed by

  • Portrait of Greg Field

    Greg Field

    Founder & Former CEO, Lasso (now IQVIA Digital)

  • Pear VC

    A top-ranked pre-seed venture fund in Silicon Valley

  • Vicus Ventures

    A firm with deep experience from Verily (formerly Google Life Sciences)

What clients say.

  • Most platforms create more work for [my team]. They give us a data point, and we have to spend a long time figuring out the 'so what.' Flyway actually does the opposite. It delivers a leadership-ready narrative in one go. It's the first platform I've seen that actually closes the loop from raw data to presentations.

    Senior Brand Director, Top 10 Pharma

  • My team mostly answers reactive questions from the business. [Flyway] answers questions we didn’t know we had. [Their] approach definitely changes our work from thinking about what just happened to thinking about what is going to happen, and what we are going to do about it. This is where the industry needs to go.

    Director of Insights & Analytics, Top 10 Pharma

FAQs

  • We can't share our data due to internal policies. Can we still work with you?

    Yes. Claims, formulary, reimbursement, and affiliation data are licensed and included, and most clients start there. The brand interview covers what only your team knows — what you track, what you’ve tried, how you define your market — under a standard CDA. When you want to add your own data — hub, specialty pharmacy, contracting, internal gross-to-net models — we integrate it with your IT team, in your environment if you prefer.

  • How do we know the findings are accurate?

    Every finding goes through confounder and sensitivity checks in the run, then an analyst who has worked commercial pharma audits it before delivery.

    Every deliverable states its methodology and what the data can’t see.

    You can push on any number through the report’s assistant or in the readout.

  • How is Sonar different from our own dashboards?

    Dashboards report the numbers you chose to track. Sonar runs across those same dimensions and the ones nobody set up a report for, then explains what moved underneath them rather than restating them. Some Sonar findings make their way into your dashboards over time.

  • Is Flyway for data scientists and analysts?

    No. Most of our users are brand directors, access leads, and strategy teams; analytics teams use us as extra capacity. No one on your side writes code or manages pipelines.

  • What is your pricing model?

    Per project, or an annual arrangement per brand: Researcher, Sonar, or both. The per-project fee drops for bundled work. Data and data engineering are included either way. Reach out for a transparent quote.

  • What do we need to provide?

    One structured brand interview. After that, the run and the deliverables are on us. There is nothing to administer: no seats, no pipelines, no warehouse integration.

  • What therapeutic areas do you work in?

    We've worked across oncology, immunology, CNS, metabolics, and rare disease. The method isn't specific to a therapeutic area; we can work in any category visible in claims.

  • Do you train your AI models on our data?

    No. We don't train on client data, ever. Each brand gets a dedicated, isolated environment. Your data is never co-mingled with other clients'. The findings we generate are yours alone.

What do you want to change next quarter?

Tell us the change. We'll tell you how we'd go about it, and whether the data can support it.

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