Operators
Know the market before you commit the lease, the census, or the hire.
Expansion decisions usually get made on a broker deck and a gut read of the county. RepVector assembles the same decision from published federal filings — who already operates there, at what capacity, paid by whom, against how much demand.
Questions you can answer
How saturated is this county — how many comparable providers, and at what capacity?
What's the payer mix, and how fast is Medicare Advantage penetrating this market?
Which nearby facilities look financially strained enough to be an acquisition conversation?
Does the referral base in this county support a second location, or are we splitting our own volume?
The datasets behind it
Selected at runtime against your question, each with a stated reason. Anything a source cannot cover at your geography is reported as a gap, not filled in.
HCRIS hospital cost reports
Beds, total and operating cost, margin, and uncompensated care straight from each facility's Medicare cost report — the financial health of everyone already in your market.
MA penetration by county
Monthly Medicare Advantage enrollment and penetration rate at county grain, so a payer-mix assumption becomes a measured trend instead of a guess.
CMS Provider of Services and Care Compare
Certified facilities, bed counts, service lines, and quality ratings — the competitor census, with ratings that tell you where the weak operators are.
Census ACS, County Business Patterns, BLS and BEA
Population, age structure, income, employment by industry, and regional income growth — the demand and workforce side of a siting decision.
CDC PLACES and HRSA shortage areas
Small-area prevalence estimates and federally designated shortage areas — where unmet need is documented rather than assumed.
IRS 990 and USAspending
Nonprofit financials and federal award flows in the geography, for partnership, grant, and competitive-funding context.
Find → Enrich → Understand → Score
Four stages between your question and a call list you can defend.
01
Find
Ask in plain language. The AI reads the intent, resolves the place you named down to county and FIPS, and pulls the datasets that actually apply from the public catalog — no query syntax, no source picking. What comes back is the whole target universe for that market, not a sample.
02
Enrich
Each target is taken past the registry row. RepVector reads the organisation's own website for services, locations, phone numbers, and named decision-makers, and attaches the page every fact came from. If a fact isn't published, it says "not published" — it is never inferred.
03
Understand
Capabilities are lined up against competing providers to expose gaps and whitespace, and each target is re-read over time so you can see what changed — a new location, a new service line, a decision-maker who left — with the evidence URL beside it.
04
Score
Everything folds into one 0–100 fit score per name: published volume, payer mix, opportunity gap, web completeness, whether a named contact was found, and how recently the target changed. The breakdown is shown on the row, not hidden behind a black box.
What you get
What lands in the dashboard
One run produces the whole picture for a market — the names, the people at them, the gaps worth calling about, and the proof behind every figure.
A ranked call list with people on it
Organisation, address, phone, and — where the site publishes one — a named decision-maker with their title and the page it was read from.
Tiers with a stated reason per name
Tier 1, 2 and 3 targets, each carrying one line explaining why it ranked there and the source row that line came from.
A 0–100 fit score you can open
Volume, payer mix, opportunity gap, web completeness, named contact and change recency, each shown as its own contribution.
Charts that drill down
Volume, payer mix, capacity and population widgets — click any figure to see the rows, geography, vintage and query behind it.
A competitive matrix and a one-pager
Your targets against competing providers by capability, with whitespace highlighted, plus a cited one-page positioning summary as PDF.
A market plan, sequenced
A week-by-week territory plan built from the ranked list — who to see first, in what order, and the evidence behind the sequence.
Change alerts on the market
Saved markets are re-checked, so you get a digest of the providers, capabilities and locations that moved since your last run.
Exports that keep the receipts
CSV, Excel and a full PDF build report, each carrying query, parameters, geography, vintage, capture time and citation URL into whatever CRM you run.
Then hand it off
Export the market read as CSV, JSON, or a PDF build report with every parameter and vintage attached — the version that survives a board meeting or an IC memo, because each figure names its source and its year.
RepVector doesn't log calls or manage pipeline. Here's where we stop.
Where a source doesn't publish at your county, the panel says so by name rather than widening quietly. An expansion memo built on a stated gap is worth more than one built on a number nobody can trace.
Build the list for one county and see whether the names are right.
Start free