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Companies

Deep, Rich AI-Inferred Company Profiles — Ready to Integrate

Our AI continuously analyzes public data—whether openly available on the internet or sourced through trusted partners—to generate deep, structured insights on millions of companies. These AI-inferred traits are easy to integrate into your product, and you can pick and choose the datasets that best fit your specific use case.

Datasets

Market Dataset

Our Market Dataset classifies companies into over 10,000 precise niches—so instead of labeling a business under the broad "Healthcare" category, you can identify it specifically as a "Vaccine Producer."

You can also accurately detect the products or services a company offers, making it easy to search and segment companies based on their actual offering.

Industry
Niche
Service Category Group
Service Category
Software Category Group
Software Category

Business Dataset

We use triangulation techniques to infer critical business traits like whether a company is B2B. For example, if a company has a "Request a Demo" button on its website, uses a HubSpot lead form, and lists sales team members on LinkedIn, our system confidently classifies it as B2B.

Unlike user-generated data—which may be incomplete or outdated—our approach analyzes real signals to determine how a company sells its product and who they sell to.

Model
Model Type
Pricing Strategy
Product Service Model
Sell To Department
Sell To Team

Culture Dataset

Our Culture Dataset is built to deeply understand a company's values and workplace environment by analyzing signals from websites, job descriptions, employee reviews, turnover patterns, and verified awards or certifications.

Whether you want to know if a company supports remote work or how it approaches social and environmental responsibility, this dataset sheds light on the real culture behind the brand.

Benefit
ESG
Work Mode
Workplace

Legal Dataset

Our technology analyzes company privacy policies, terms of service, government filings, and trademark or copyright registries to infer key legal traits—such as compliance status, formation details, ownership type, and regulatory or tax identifiers.

This information is often buried in dense legal documents or scattered across hard-to-navigate government websites. We surface it in a structured, searchable format so you can easily integrate it into your workflows.

Compliance
Entity Type
Formation
IP
Ownership
Regulatory

Website Dataset

A company's website is one of the most up-to-date and revealing sources of information—yet often underutilized. It's usually the first place to reflect new initiatives, product updates, or signals of traction.

Our AI analyzes and decomposes the structure and content of websites we continuously scrape, allowing you to uncover unique insights—like which companies link to platforms like Airbnb, or which ones have an API status page (perfect for API documentation providers).

With a bit of creativity, this dataset helps you personalize outreach, spot buying signals, and engage at the right moment.

External Link Category
Has Page
Structure
Traffic

Signals from AI Traits


For every AI-inferred trait we generate, we track its changes over time—capturing when it first appeared, last seen, or was removed. This time-based tracking enables powerful signals, so you can act on what’s new or changing. For example, you can instantly find companies that became SOC 2 compliant this month, or started hiring in a new department.

Example Code

{ "id": "9e6a55b258ef11edb8780242ac120002", "name": "Acme Corporation", "logoUrl": "https://d1hbpr09pwz0sk.cloudfront.net/logo_url/607a654e", "headcount": 35, "stockSymbol": "ACME", "website": "https://acmecorp.com", "angellistUrl": "https://angel.co/acmecorp", "crunchbaseUrl": "https://www.crunchbase.com/organization/acmecorp", "facebookUrl": "https://facebook.com/acmecorp", "githubUrl": "https://github.com/acmecorp", "linkedInUrl": "https://linkedin.com/company/acmecorp", "xUrl": "https://twitter.com/acmecorp", "youtubeUrl": "https://youtube.com/user/acmecorp", "industry": "Technology", "niche": "Cloud Computing", "unitedStatesHeadquartersStateCodes": ["CA"], "unitedStatesHeadquartersCities": ["San Francisco"], "unitedStatesHeadquartersRegions": ["East Coast"], "headquartersCountryCodes": ["US"], "headquartersWorldRegions": ["North America"], "signals": [ { "type": "Benefit", "signal": "Employ Health Insurance", "firstSeenAt": "2024-03-15T08:30:22.145Z", "lastSeenAt": "2025-01-15T14:22:33.891Z" }, { "type": "Business Model", "signal": "Deploy Pay-As-You-Go", "firstSeenAt": "2024-01-12T11:15:44.267Z", "lastSeenAt": "2025-01-14T09:18:55.432Z" }, { "type": "Business Model Type", "signal": "Deploy B2M Solutions", "firstSeenAt": "2024-05-08T16:42:11.789Z", "lastSeenAt": "2025-01-13T13:07:28.156Z" }, { "type": "Pricing Strategy", "signal": "Deploy Demo Wall Strategy", "firstSeenAt": "2024-02-28T07:55:33.912Z", "lastSeenAt": "2025-01-12T10:33:41.678Z" }, { "type": "Product Category", "signal": "Offer Digital Products", "firstSeenAt": "2024-04-03T12:20:15.543Z", "lastSeenAt": "2025-01-16T15:44:12.234Z" }, { "type": "Target Department", "signal": "Sell to Accounting Department", "firstSeenAt": "2024-06-14T18:35:07.891Z", "lastSeenAt": "2025-01-11T11:29:58.445Z" }, { "type": "Website Pages", "signal": "Has Integration Page", "firstSeenAt": "2024-07-22T09:48:26.334Z", "lastSeenAt": "2025-01-10T16:52:03.789Z", "lastUnseenAt": "2025-04-30T14:22:15.567Z" } ] }

Documentation Reference

For up to date detailed documentation, we recommend you check out our resource page

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