OXYGENOXYGEN

For healthtech SaaS

Outbound infrastructure for healthtech SaaS

Your buyers are not a clean segment in a sales database. They are thousands of practices and groups, barely visible to the tools everyone else uses.

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Healthtech sales is won on list quality, and the list is the hard part. A payer, a hospital system, a fifteen site dental group, and a solo practice are four different motions, and only one shows up cleanly in a database you can buy.

So the build is a research job rather than a download. One row per organization, a scrape column that reads the site, an AI column that extracts the qualifying facts, and a contact lookup that runs only on rows which survived the filter.

Who this is for
Seed to Series A healthtech software companies selling into clinics, multi site groups, billing companies, or payers. Four to fifty people, founder still on the calls.
What it looks like today
Contact databases thin out fast below the hospital system tier. An independent group with twelve locations has one website, little profile data, and a decision maker titled differently at every account.
What changes
Sourcing starts where these organizations appear: maps listings, search results, their own site. Research runs as a column, so location count and specialty are captured while the list is built.

Example searches

Ask for it the way you'd say it

Every search below runs on the same hosted Tables, with the cost previewed before anything is spent.

  • Groups, not solo practices

    find behavioral health groups with more than five locations across the midwest

    Location counts arrive as a sortable column, so single site rows drop out before you pay to enrich them.

  • The administrator who signs

    for each of these clinics find the practice manager or operations director with a work email

    A practice manager signs and a clinical lead can veto, so plan on two names per organization rather than one, and enrich both before the first send.

  • What the website already says

    read each clinic site and tell me which ones name an electronic health record system

    The extracted answer and the page it came from sit in adjacent cells, so a wrong call is traceable.

Plays

Three motions you can run this week

Each one is a chain of Oxygen primitives — the same hosted objects your workspace already has, composed.

  • Directory to qualified account list

    Real organizations with location count, specialty, and a named contact per row.

    1. Knowledge Graph
    2. Tables
    3. Records
    1. 1Write the qualifying rubric into the workspace wiki so every extraction run reads one definition.
    2. 2Source organizations by geography and category into a working table.
    3. 3Scrape the site, extract the qualifying facts, promote the rows that fit.
    oxygen companies search run

  • Research before you spend

    Contact enrichment runs only on rows that already passed the fit test.

    1. Tables
    2. Workflows
    3. Records
    1. 1Chain a scrape column into an AI column that answers your qualifying question.
    2. 2Run the lookup on the filtered view and read the cost preview first.
    oxygen columns run

  • One thread per organization

    Replies from an admin, a clinician, and a billing lead stay on one account.

    1. Sequences
    2. Messages
    3. Records
    1. 1Enroll the named contacts on a slow cadence with the organization as the unit.
    2. 2Triage every reply in the shared inbox and log the outcome on the record.
    oxygen inbox list

Capabilities

What you get

  • Sourcing where these buyers live

    Maps style listings, web search, and site crawls land as typed rows, so an organization with no database record still makes the list.

  • Qualification as a column

    The question you would hand a researcher becomes an AI column with its source page beside the answer, run across the whole table at once.

  • Cost you approve first

    Every paid lookup previews its scope and credit ceiling before running, and enrichment waterfalls bill on a hit rather than on an attempt.

  • A free workspace to prove it

    A new workspace opens with 10,000 credits, no card and no clock, enough to build a first list and find out whether the motion works.

Instead of

The stack this replaces

Native, on one contract and one credit balance — not another tab wired to the last one.

  • Clay
  • Apollo
  • Instantly
  • HubSpot
  • Google Sheets
  • Zapier

Data sources

What the data actually comes from

Every value lands with its provider and cost recorded on the cell.

  • Op

    Open Web Ninja

    Local business and maps style results, where independent practices and multi site groups actually turn up.

  • Exa

    Web search for organizations that exist only as a site, an association page, or a press mention.

  • Blitz API

    Finds the administrator or operations lead and keeps the metered lanes idle on the easy rows.

  • LeadMagic

    Picks up contacts the first lane missed, which at this size is a meaningful share of the list.

Run these on Oxygen's managed credits, or connect your own provider keys and pay the vendor directly — the same columns, the same runs, the same provenance either way. See every integration.

Limits

Where this stops

  • Coverage falls off at the smallest end. A two person practice with a one page site may yield a phone number and nothing else. Plan on calling that tier rather than pretending email exists.

FAQ

Questions people ask first

Can it find clinics that are in no sales database?
Often, because sourcing does not begin from a database. Maps style search produces the organization, then a scrape column reads its site. What nothing can invent is a contact who never published one.
How do we avoid paying to enrich the wrong accounts?
Qualify first, enrich second. Scraping and AI columns run over the table, you filter to the rows that passed, and only then does the contact lookup run against that view.
Is patient data involved anywhere in this?
No. Everything here is business account data: organizations, roles, work contact details, public web pages. Nothing in the sourcing or enrichment path touches clinical records, and none belong in a workspace.
Our buyer title changes at every account. Does that break it?
No, because the lookup asks for the role that owns the decision, not one exact string. The table stores what it found, so an operations director and an office manager are visibly different.
How many contacts per organization should we work?
Two or three at this size: the administrator who owns budget, a clinical lead who lives with the product, sometimes billing. One cadence keyed to the organization stops when any of them answers.
What happens to the research when a new rep takes over?
It stays on the row. Every cell keeps the run that produced it and the page it read, so somebody new can see why an account qualified without hunting down whoever built the list.

Put your GTM motion on one stack

Sign up, get a working workspace with a one-time credit grant, and run the first play end to end without wiring five tools together.

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