Per-company tech footprint for every US company — all 50 states, all sizes, all sectors. Fortune 500 + Inc 5000 + SMB long-tail. Confidence-graded stack vector + weekly delta + buying-signal alerts. DUNS / EIN / NAICS keys included. CSV+Parquet + API. Pricing on request.
All 50 states + DC + PR. Fortune 500 + Inc 5000 + Russell 3000 + Forbes Cloud 100 + SMB long-tail. Identified by DUNS, EIN, state filings, and domain. Coverage is densest where it matters — every public company plus every venture-backed startup plus every SMB with a public-facing website is in.
Built around the modern US enterprise stack. Filter or query any combination — "every California SaaS using Snowflake but not yet on dbt" returns in seconds.
Two related tables: companies (firmographic) + stack_vector (one row per company × tech × confidence). Plus signals (hiring + change events). Joinable on company_id / duns / ein / domain.
Real rows. Free 100-company unredacted sample for any ICP slice — by state, NAICS, headcount, list flag (Fortune / Inc / Cloud 100), or target tech vendor.
# Public cloud-data vendor · Cloud 100 · self-eating their own product {"company":"Snowflake Inc.","ticker":"SNOW","state":"MT", "duns":"08-079-0825","naics_6":"518210","is_public":true,"cloud_100":true, "headcount":7800,"growth_yoy":11,"revenue_filed":3450000000, "stack":{"cloud":["AWS:0.98","Azure:0.84"],"crm":["Salesforce:0.96"], "marketing":["Marketo:0.89","6sense:0.81"],"hr":["Workday:0.93"], "observability":["Datadog:0.91"]}, "signals_30d":["+47 ML engineers","CRO role posted"]} # Fortune 500 retailer · legacy + modernizing {"company":"Target Corporation","ticker":"TGT","state":"MN", "duns":"00-693-9095","naics_6":"452210","fortune_500":true, "headcount":440000,"revenue_filed":107412000000, "stack":{"cloud":["GCP:0.94","AWS:0.82"],"data":["BigQuery:0.92","dbt:0.78"], "erp":["SAP S/4HANA:0.86"],"hr":["Workday:0.96"], "comms":["Microsoft 365:0.98"]}} # Inc 5000 mid-market SaaS · CA · series-C {"company":"Linear Inc.","state":"CA","city":"San Francisco", "duns":"08-129-3847","naics_6":"511210","inc_5000":true, "headcount":110,"growth_yoy":62,"funding_total":35000000,"last_round":"Series B", "stack":{"cloud":["AWS:0.97"],"data":["BigQuery:0.84"], "comms":["Slack:0.99","Notion:0.94"],"hr":["Rippling:0.86"]}} # Fortune 500 finserv · highly regulated · multi-cloud {"company":"JPMorgan Chase & Co.","ticker":"JPM","state":"NY", "duns":"00-694-3920","naics_6":"522110","fortune_500":true,"is_public":true, "headcount":317000, "stack":{"cloud":["AWS:0.93","Azure:0.88","GCP:0.71"],"data":["Snowflake:0.87","Databricks:0.79"], "observability":["Splunk:0.94","Datadog:0.81"],"security":["CrowdStrike:0.92"]}} # SMB · TX · construction · long-tail coverage {"company":"Hill Country Concrete LLC","state":"TX","city":"Austin", "naics_6":"238110","headcount":42, "stack":{"comms":["Google Workspace:0.91"],"crm":["HubSpot:0.74"], "payments":["QuickBooks Payments:0.83"],"itsm":["Zoho Desk:0.62"]}}
Six buyer segments. The US install-base market is mature — buyers know the value. They want better coverage, faster refresh, and lower friction.
"All Inc 5000 companies on Salesforce + Snowflake but not on dbt" — your AEs work the warm fit-list. Filter by state, NAICS, ticker, list flag, growth rate.
For ZoomInfo / Apollo / Cognism / 6sense building on top — license the install-base layer to enrich your contact platform with stack data your customers actually request.
Your install base across the Fortune 1000 vs your top-3 competitors. Where you're winning, where you're losing, who's evaluating. Brief your channel partners with real account-level data.
"All US companies that adopted [tech X] in the last 12 months" — find leading-indicator users of frontier tech. Portfolio-wide vendor-consolidation analysis to drive savings.
Filter the 32M company universe by stack signatures of recent unicorns. Identify the next AI/data startups before they raise. Track adoption curves of frontier vendors.
Adoption curve of every tech category across US sectors + headcount bands. Quarterly trend reports without ever talking to a vendor. Used by analyst firms and competitive intel teams.
Pricing is per use-case — ICP filter size, refresh cadence, signal-alert volume, license scope. Send your filter spec + intended use; we send a written quote within one business day. Free 100-company unredacted sample on first contact.
Single-shot list of US companies in one state (or NAICS vertical) using your target tech. For one-off ABM rounds, market sizing, partnership scoping.
Continuous nationwide coverage with monthly stack-delta + weekly signal alerts. For sales-intelligence platforms, B2B SaaS revenue ops, ABM teams running ongoing campaigns at scale.
Full 32M company universe, daily refresh, lookup API, full schema. For sales-intelligence vendors, RevOps platforms, and enterprises licensing for white-label or internal use. Industry-leading freshness, sub-7d staleness on top-100K accounts.
Three things to know before you swap out your current US install-base provider.
Every (company × technology) cell carries a confidence score 0.0-1.0. Filter aggressively on confidence ≥ 0.8 for "treat as fact" decisions; use 0.5-0.8 as signal layer for outbound prioritization. Quality benchmarks shipped in the README.
Coverage is sharpest on the top-200K companies (every public company + every VC-backed company + every SMB with digital presence). Long-tail SMB coverage is real but thinner — depth marker per row so you filter as needed. Fortune 500 + Inc 5000 + Cloud 100 are tracked at near-100% accuracy.
Company-level firmographic + technographic data is non-personal. Decision-maker contacts (where included) processed under business-purpose exemption. Buyer is responsible for downstream CCPA/CPRA compliance + opt-out infrastructure. No consumer data ever.
Tell us the target tech vendor + your ICP filter. We send back a 100-company unredacted sample within 24h plus a written quote.
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