Legacy data, enterprise prices
Incumbent healthcare databases are expensive, report-shaped and priced for big contracts, not startups.
Meteito maps US health systems, hospitals and medical groups from public data, watches for buying signals, and writes account briefs that cite their sources. One seller can find, prioritize and reach the right accounts.
| Account | EHR | Beds | Signals | Fit | ✦ Why now? (AI) |
|---|---|---|---|---|---|
EX Example Regional Medical CenterHospital · Sample system A |
EpicONC | 412 | New CIOJob post | 92 |
New CIO this quarter and hiring EHR analysts12 |
SA Sample Health North CampusHospital · Sample system B |
EpicONC | 268 | EHR change | 88 |
Recent EHR move; workflow projects likely1 |
DE Demo Community HospitalHospital · Independent |
EpicONC | 231 | Press release | 81 |
Announced a new vendor selection1 |
PL Placeholder Children's HospitalHospital · Sample system C |
EpicONC | 305 | Job postFDA item | 77 |
Hiring a revenue cycle director1 |
IL Illustrative Heart InstituteHospital · Sample system A |
EpicONC | 214 | Exec hire | 70 |
Exec hire only; other signals not found1 |
Each row cites its sources. You see the cost estimate before anything runs.
Built on public healthcare data from
Buyers sit inside complex systems, run specialized technology and buy on their own timelines. Most sellers still juggle five tools and miss the window.
Incumbent healthcare databases are expensive, report-shaped and priced for big contracts, not startups.
They can't tell that a hospital belongs to a system, which EHR it runs or which competitor it already uses.
EHR switches, leadership changes and vendor selections are scattered across news, job boards and filings.
Public CMS, ONC, AHRQ and HCRIS data, resolved on NPI, CCN, EIN and domain into one hierarchy you can search.
Signals are matched to accounts and weighted by strength and age, so timing shows up in every score.
Who they are, what they run, what changed and why now. Every claim links to its source.
Spreadsheet-style tables with data, AI and formula columns, plus fit, timing and priority scores built from your ideal customer profile.
Authoritative public datasets, refreshed on their own schedules and resolved into a single graph.
Every Medicare hospital: CCN, type, ownership, star rating
Organization NPIs, names, taxonomies and addresses
Beds, revenue, expenses and operating margin
Certified EHR developer and product per hospital
System → hospital → medical group links
ACOs and their participants
Nonprofit hospital financials and executives
Medical device data and clearances
Public RSS feeds and career pages, within robots.txt
Meteito is independent and isn't affiliated with or endorsed by these agencies.
Healthcare data deserves care. These rules are part of how Meteito works.
Organizations and professional data only. No PHI is collected or stored.
Each field records where it came from and when it was verified. Inferred data shows confidence.
AI never makes up people, emails or installs. Unknown means “not found.”
Every AI-drafted message and CRM update waits for your review. Nothing sends on its own.
Unsubscribe links, a physical address and a suppression list on outreach.
Follows site terms and robots.txt, doesn't scrape LinkedIn, keeps each workspace private.
Meteito is in early access. Tell us a little about you and we'll be in touch.
Thanks for your interest in Meteito. We'll reach out soon with next steps.