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For private equity

Healthcare private equity due diligence

DataLily AI gives healthcare investors a fast, verifiable view of any target and its market, so deal teams can screen, test and underwrite with the whole picture.

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What private equity firms use DataLily AI for

  • Screen add-on targets

    Find independent practices in a specialty and region.

  • Test rate assumptions

    See how a target’s rates compare with similar providers nearby.

  • Check referral risk

    See how concentrated a target’s referral relationships are.

  • Map the competition

    See which systems and investor-backed groups operate in the same market.

Common questions from private equity firms

How do private equity firms check a healthcare target’s payer rates during diligence?

DataLily AI shows how the target’s rates compare with similar providers in its market. Each figure is dated and labeled Fact, Signal or Estimate, so deal teams can check it line by line.

How can investors find independent practices for add-on acquisitions?

DataLily AI shows who owns which providers, groups and facilities, so deal teams can find practices not yet tied to a system or investor.

What data do private equity firms use for healthcare due diligence?

Deal teams check a target’s rates, ownership, competition and referral relationships. DataLily AI shows all of them for the target’s market, with each figure dated and labeled Fact, Signal or Estimate.

About DataLily AI

DataLily AI is the world model for US healthcare: one connected view of every US healthcare market, so teams can decide where to grow, what to negotiate and where to invest with the whole picture in view. It covers all 50 states, from big cities to rural areas. Every figure is dated and labeled Fact, Signal or Estimate. There is nothing to install; setup happens on a call.

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