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About DataLily

We're making fragmented healthcare data answerable in seconds.

DataLily Insights turns 100 billion+ data points of healthcare data into clear answers. Ask Rose, our AI analyst, a question in plain English, and she reasons across billions of records to answer it, so you never have to start from a blank spreadsheet.

Why we exist

The answers exist. They're just scattered everywhere.

The truth about a provider, a hospital, a market, or a procedure price already exists, spread across claims, payments, prescribing, quality, compliance, and pricing data drawn from federal, commercial, and clinical sources. Finding it meant weeks of spreadsheets and manual lookups.

We built DataLily so one AI analyst does that work instead. Ask Rose a question and she cross-references billions of records automatically, draws the chart, and hands back a complete answer that ends with a recommendation.

  • Real numbers, never hand-wavy

    Rose reasons over real records across claims, negotiated rates, and quality data. No vague “AI insights,” just answers grounded in billions of data points.

  • Built on authoritative data

    Billions of records across hundreds of federal, commercial, and clinical data sources, spanning claims, quality, payments, compliance, pricing, and market data. Nothing scraped from a black box.

  • Answers in seconds, not weeks

    Ask in plain English and Rose runs deep, parallel analysis across claims, compliance, prescribing, quality, market, and pricing. The work that took weeks of spreadsheets and manual lookups comes back complete.

Built by researchers cited at

  • Cornell
  • Stanford
  • Mayo Clinic
  • NCCS
  • UW-Madison
  • Toronto
  • UCL
  • SingHealth
  • UC Davis
  • McMaster
  • NUS
  • UNSW
  • HBKU
  • Birmingham
  • Zhejiang
  • Calgary
  • SLAC
  • Iowa State
100B+
healthcare data points
1
AI analyst, Rose, running deep, parallel analysis
541K
providers with quality scores

Data & trust

Built on authoritative data.

Built for healthcare buyers who ask hard questions. Every answer Rose gives is reasoned over billions of records, never a black box.

Claims & enrollment

Billing, services, payments, and provider enrollment: the backbone of provider revenue and volume analysis.

Prescribing & payments

Prescribing patterns including opioid rates, and pharma/device industry payments to providers.

Quality & compliance

Facility and provider quality ratings alongside exclusion, debarment, and malpractice screening.

Pricing & community health

Commercial negotiated rate data, plus community health, shortage-area, and market signals by county.

Claims dataProvider registryIndustry paymentsPrescribing dataQuality & ratingsCompliance screeningNegotiated rate dataCommunity healthClinical research

The team

Operators and researchers, building in the open.

DataLily is a small team of people who have lived inside healthcare data and the decisions it drives. We pair hands-on domain experience with research rigor. The same care that put our work in front of reviewers at the institutions above goes into how Rose reasons over claims, quality, and pricing data.

We'd rather talk to you directly than hide behind a form. Reach the founders any time.

Come see what Rose can find in 100 billion data points.

Bring a question: a provider NPI, a facility CCN, or a procedure code. Rose will answer it.