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Newly Funded Companies US — Verified CSV, Updated

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783 rows, built to answer one question: Which Newly Funded Companies US? Every row includes: - address - amount raised - amount raised US dollars - cik - city - days since filing - entity type - executive - executive role - filing date - first sale date - fund type - industry - investors so far - mi

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Newly Funded Companies US — Verified CSV, Updated July 2026

783 rows, built to answer one question: Which Newly Funded Companies US? Every row includes:

address
amount raised
amount raised US dollars
cik
city
days since filing
entity type
executive
executive role
filing date
first sale date
fund type
industry
investors so far
minimum investment US dollars
name
percent of offering sold
phone
raise tier
state
state of incorporation
still raising
total offering US dollars
year founded
ZIP code

Filter via the Actor input; data refreshed with each new build (check the build date above).

address
amount raised
amount raised US dollars
cik
city
days since filing
entity type
executive
executive role
filing date
first sale date
fund type
industry
investors so far
minimum investment US dollars
name
percent of offering sold
phone
raise tier
state
state of incorporation
still raising
total offering US dollars
year founded
ZIP code

What one result contains

One result = one record (one JSON object pushed to your dataset). Every record carries these 29 fields: entity_id, address, amount_raised, amount_raised_usd, cik, city, days_since_filing, entity_type, executive, executive_role, filing_date, first_sale_date, fund_type, funding_layer, industry, investors_so_far, kind, layer, minimum_investment_usd, name, pct_of_offering_sold, phone, raise_tier, state, state_of_incorporation, still_raising, total_offering_usd, year_founded, zip.

Example shape:

{
  "entity_id": "...",
  "address": "...",
  "amount_raised": "...",
  "amount_raised_usd": "...",
  "cik": "...",
  "city": "..."
}

You are charged once per record returned — no records, no charge.

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