Fresh as March 2026

⚙️

NACE C28

Largest B2B Database of
Manufacture of machinery and equipment Companies

Access 1M+ company profiles with AI-enriched data from websites, professional networks, maps, and government registries

1M+

Company Profiles

Unified from 310M websites, Linkedin Data, Google Maps and Government Registries

93 Fields

AI-Enriched Data

500+ datapoints per company with deep-research AI analysis

4 Weeks

Full Refresh Cycle

Always fresh data with continuous updates

Trusted by 100+ GTM, Fintech, Procurement and AI leaders

The first all-in-one company dataset

310M

company websites

74M

LinkedIn company profiles

210M

Google Maps places

100M+

registry records

✨ Ultimate Business Profile

Reveals what the company truly does — generated by
deep-research AI agent analyzing at least 5 web pages,
LinkedIn, Google Maps, and government registries data.

Request Data Sample

Complete coverage of the Manufacture of machinery and equipment sector across all countries

Top 10 Countries by Company Count

1🇨🇳China

328K+

2🇮🇳India

117K+

3🇺🇸United States

112K+

4🇩🇪Germany

62K+

5🇷🇺Russian Federation

35K+

6🇧🇷Brazil

35K+

7🇹🇷Türkiye

34K+

8🇮🇹Italy

33K+

9🇬🇧United Kingdom

32K+

10🇯🇵Japan

26K+

Top Sub-industries by Company Count

Explore 1M+ companies across 5 NACE groups

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Manufacture of other special-purpose machinery n.e.c.

NACE C28.9 · 647K+ companies

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Manufacture of other general-purpose machinery n.e.c.

NACE C28.2 · 314K+ companies

🌀

Manufacture of other pumps and compressors

NACE C28.1 · 106K+ companies

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Manufacture of agricultural and forestry machinery

NACE C28.3 · 44K+ companies

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Manufacture of other machine tools

NACE C28.4 · 40K+ companies

What's Inside Our Database

General data

7 fields

100%Fill rate — percentage of companies in the dataset with this field filled

Name — In a form that is clear to the client and already normalized for use in marketing communications

99.1%Fill rate — percentage of companies in the dataset with this field filled

Description — Reveals what the company truly does, generated by deep-research AI agent analyzing at least 5 web pages, LinkedIn, and Google Maps data

99.1%Fill rate — percentage of companies in the dataset with this field filled

Keywords — Keywords generated based on key pages of the company website

98.1%Fill rate — percentage of companies in the dataset with this field filled

Industry (NACE) — Hierarchical, four-level system (Section, Division, Group, Class) that is the European implementation of the UN's International Standard Industrial Classification (ISIC) with reasoning

91.2%Fill rate — percentage of companies in the dataset with this field filled

Domains and domain aliases — Website domains and alternative domain names or URLs used by the company

90.1%Fill rate — percentage of companies in the dataset with this field filled

Domain is alive — Website liveliness score from 0 to 1, considering hosting placeholders, parked domains, various www/http/https access options

39.4%Fill rate — percentage of companies in the dataset with this field filled

ID and Profile URL — Company ID and profile URL on Professional Network

// ...

12"name": "ExampleSaas HR",

13"domain": "examplesaas.com",

14"domain_is_alive": 0.95,

15"description": "Cloud-based HR platform for mid-size companies, offering recruitment, onboarding, and performance management tools with AI-powered candidate matching.",

16"keywords": "{\"HR software\": 100, \"recruitment platform\": 95, \"talent management\": 90, \"onboarding\": 85}",

17"industries_nace": [{"sec": "J", "subcat_code": "J62.01", "subcat_name": "Computer programming activities"}],

18"linkedin_url": "https://linkedin.com/company/examplesaas-hr",

// ...

AI-powered Market Segments

8 fields

97.9%Fill rate — percentage of companies in the dataset with this field filled

B2B/B2C — Probability that the company has B2B model. Scale: 0 means B2C, higher numbers indicate stronger B2B likelihood. Around 0.5 means both B2B and B2C

98.3%Fill rate — percentage of companies in the dataset with this field filled

Startup score — Probability that the company is startup. Scale: 0 means young/VC-backed/fast growing/innovative. 1 means big, conservative, market leader with strong positions, low growth rate and low innovation level, huge size

98.7%Fill rate — percentage of companies in the dataset with this field filled

SaaS score — Probability that the company is a SaaS business

98.1%Fill rate — percentage of companies in the dataset with this field filled

Tech company score — Probability that the company is a technology business

98.6%Fill rate — percentage of companies in the dataset with this field filled

Merchant score — Probability that the company sells physical goods

0%Fill rate — percentage of companies in the dataset with this field filled

E-commerce score — Probability that the company operates as an e-commerce business with an online store

98.1%Fill rate — percentage of companies in the dataset with this field filled

Digital Score — Probability that the company provides digital services and operates online

98.5%Fill rate — percentage of companies in the dataset with this field filled

AI score — Probability that the company is related to AI development

// ...

12"is_b2b_score": 0.95,

13"is_b2b_reasoning": "Enterprise HR software, business clients only, no consumer products...",

14"is_startup_score": 0.75,

15"is_startup_reasoning": "Series A funded, 85 employees, high growth rate, modern tech stack...",

16"is_saas_score": 0.92,

17"is_saas_reasoning": "Cloud-based subscription platform, monthly/annual pricing, self-serve signup...",

18"is_tech_score": 0.88,

19"is_tech_reasoning": "Software product company, engineering-heavy team, modern development practices...",

20"is_merchant_score": 0.05,

21"is_merchant_reasoning": "No physical products, pure software/service business...",

22"is_digital_score": 0.95,

23"is_digital_reasoning": "Fully online product, no physical presence required for delivery...",

24"is_ai_score": 0.45,

25"is_ai_reasoning": "AI-powered candidate matching mentioned, but not core AI company...",

// ...

Geography data

4 fields

83.5%Fill rate — percentage of companies in the dataset with this field filled

Company Countries — List of countries where the company has a presence

83.3%Fill rate — percentage of companies in the dataset with this field filled

Client Countries — List of countries where the company's clients are located

87.7%Fill rate — percentage of companies in the dataset with this field filled

Geo Reasoning — Explanation or reasoning behind the geographical classification

35.4%Fill rate — percentage of companies in the dataset with this field filled

HQ full address — Region, state, city, postal/zip code, street address of the company headquarters with additional notes

// ...

12"geo_countries_company": ["US", "GB"],

13"geo_countries_client": ["US", "GB", "CA", "AU", "DE"],

14"geo_reasoning": "HQ in San Francisco, US. UK office in London. Serves English-speaking markets primarily...",

15"geo_hq_country": "US",

16"geo_hq_city": "San Francisco",

17"geo_hq_postal": "94105",

18"geo_hq_street_address": "535 Mission St, Floor 14",

19"geo_hq_full_address": "535 Mission St, San Francisco, CA 94105, US",

// ...

Size, Revenue and Funding data

7 fields

93.1%Fill rate — percentage of companies in the dataset with this field filled

Company size — The estimated number of employees, based on data from professional networks, the company website, and other public data points collected from across the internet

93.1%Fill rate — percentage of companies in the dataset with this field filled

Company size range — Company size category

93.8%Fill rate — percentage of companies in the dataset with this field filled

Company size reasoning — Explanation or reasoning behind the size classification

2.4%Fill rate — percentage of companies in the dataset with this field filled

Annual revenue — Estimated or reported annual revenue of the company in USD

0.3%Fill rate — percentage of companies in the dataset with this field filled

Last round stage — Stage of the last round (Seed, Series A, etc.)

0.2%Fill rate — percentage of companies in the dataset with this field filled

Last round amount — Size of the last funding round in USD

0.3%Fill rate — percentage of companies in the dataset with this field filled

Last round date — Date of last funding round

// ...

12"size": 85,

13"size_range": [51, 200],

14"size_reasoning": "LinkedIn shows 85 employees. Team page lists leadership of 12 people...",

15"revenue_annual": 12500000,

16"funding_last_round_stage": "Series A",

17"funding_last_round_amount": 18000000,

18"funding_last_round_date": "2024-03-15",

// ...

Contact data

4 fields

29%Fill rate — percentage of companies in the dataset with this field filled

Contact Emails — Email addresses associated with the company or its key employees

30%Fill rate — percentage of companies in the dataset with this field filled

Phone numbers — Direct business phone numbers for reaching the company or relevant departments

62.7%Fill rate — percentage of companies in the dataset with this field filled

HQ Addresses — Official headquarters locations, normalized and ready for use in outreach or segmentation

15%Fill rate — percentage of companies in the dataset with this field filled

Social profiles — Links to public profiles on platforms such as LinkedIn, Facebook, Instagram, Crunchbase, Discord, Github, Pinterest, Reddit, TikTok, X, YouTube

// ...

12"contact_emails": ["hello@examplesaas.com", "sales@examplesaas.com", "support@examplesaas.com"],

13"contact_phone_numbers": "+1 415 555 0123",

14"contact_addresses": [{"country": "US", "city": "San Francisco", "postal_code": "94105", "street_address": "535 Mission St"}],

15"social_facebook_urls": ["https://facebook.com/examplesaas"],

16"social_linkedin_urls": ["https://linkedin.com/company/examplesaas-hr"],

17"social_x_urls": ["https://x.com/examplesaas"],

18"social_youtube_urls": ["https://youtube.com/@examplesaas"],

// ...

Marketing and traffic data

9 fields

10.2%Fill rate — percentage of companies in the dataset with this field filled

Marketing pixels — Which advertising platform pixels are present on the website — for example, Google Ads, Meta, Bing, LinkedIn, TikTok, Reddit, Criteo. This is a strong indicator that the company is buying paid traffic

28.7%Fill rate — percentage of companies in the dataset with this field filled

Traffic — Overall website monthly traffic

27.4%Fill rate — percentage of companies in the dataset with this field filled

Traffic growth — Year-over-year traffic growth — a negative value indicates decline

42%Fill rate — percentage of companies in the dataset with this field filled

Traffic by months — Monthly website traffic numbers over a period of months

26.9%Fill rate — percentage of companies in the dataset with this field filled

Traffic by country — Distribution of website traffic by country

28.7%Fill rate — percentage of companies in the dataset with this field filled

Pages per visit — Average number of pages viewed per visit on the company website

17.4%Fill rate — percentage of companies in the dataset with this field filled

Time on site — Average duration of user sessions on the website

16.9%Fill rate — percentage of companies in the dataset with this field filled

Web rank — Website rank according to a web analytics service

28.5%Fill rate — percentage of companies in the dataset with this field filled

Bounce rate — Website bounce rate percentage

// ...

12"marketing_pixels": ["google_ads", "meta_pixel", "linkedin_insight", "hubspot"],

13"traffic": 45200,

14"traffic_growth": 34,

15"traffic_by_country": "{\"US\": 24500, \"GB\": 8200, \"CA\": 5100, \"AU\": 3400}",

16"traffic_by_months": "{\"2024-10-01\": 38000, \"2024-11-01\": 41500, \"2024-12-01\": 45200}",

17"web_metrics_pages_per_visit": 4.2,

18"web_metrics_time_on_site": 185.0,

19"web_metrics_bounce_rate": 0.38,

20"web_rank": 125430,

// ...

Professional Network and Employees Data

9 fields

29%Fill rate — percentage of companies in the dataset with this field filled

Contact Emails — Email addresses associated with the company or its key employees

39.4%Fill rate — percentage of companies in the dataset with this field filled

Company size on LinkedIn — How many people have connected real LinkedIn profiles with this company on LinkedIn

25.3%Fill rate — percentage of companies in the dataset with this field filled

Employees growth rate yearly — Year-over-year employee growth rate

14.6%Fill rate — percentage of companies in the dataset with this field filled

Employees by department — Employee distribution by department

0.4%Fill rate — percentage of companies in the dataset with this field filled

Hiring by job title — Job openings by position

18%Fill rate — percentage of companies in the dataset with this field filled

Description (LinkedIn) — Company description from the LinkedIn profile AS IS

39.4%Fill rate — percentage of companies in the dataset with this field filled

LinkedIn ID — Unique LinkedIn company ID

39.4%Fill rate — percentage of companies in the dataset with this field filled

LinkedIn URL — URL to the company's LinkedIn profile

4.1%Fill rate — percentage of companies in the dataset with this field filled

Posts last 6 months — Recent posts (up to 10) from the company's LinkedIn profile with date, text, reactions, and recent comments

// ...

12"contact_emails": ["hello@examplesaas.com"],

13"linkedin_id": "18563241",

14"linkedin_url": "https://linkedin.com/company/examplesaas-hr",

15"size_on_linkedin": 85,

16"description_linkedin": "ExampleSaas HR is the modern HR platform that helps growing companies hire, onboard, and retain top talent...",

17"employees_growth_rate_yearly": 42.5,

18"employees_by_department": {"employees_count_technical": 35, "employees_count_sales": 20, "employees_count_marketing": 12, "employees_count_hr": 8},

19"hiring_by_job_title": ["Senior Software Engineer", "Account Executive", "Customer Success Manager"],

20"posts_last_6_months": [{"date": "2025-10-15", "reactions_count": 127, "description": "We just crossed 500 customers! Thank you to everyone who believed in us..."}],

// ...

Full Web Data

6 fields

91.2%Fill rate — percentage of companies in the dataset with this field filled

Domains and domain aliases — Website domains and alternative domain names or URLs used by the company

67.3%Fill rate — percentage of companies in the dataset with this field filled

Web size — Website volume (number of pages)

56.2%Fill rate — percentage of companies in the dataset with this field filled

Web sections — Website sections (up to 7 links, e.g. About, Services, Blog, etc.)

75.7%Fill rate — percentage of companies in the dataset with this field filled

Web languages — Languages of marketing communication with reasoning

44.8%Fill rate — percentage of companies in the dataset with this field filled

Website H1, description, title — Website tags

73.7%Fill rate — percentage of companies in the dataset with this field filled

Web homepage text — Full text from domain homepage, removed from unuseful/technical data, converted from HTML to markdown format

// ...

12"domain": "examplesaas.com",

13"domain_aliases": ["examplesaas.io", "examplesaas.app"],

14"web_size": 156.0,

15"web_sections": [{"url": "/", "title": "Home"}, {"url": "/product", "title": "Product"}, {"url": "/pricing", "title": "Pricing"}, {"url": "/customers", "title": "Customers"}, {"url": "/blog", "title": "Blog"}],

16"web_languages": ["en"],

17"web_languages_reasoning": "English only. No language switcher. US-focused SaaS product...",

18"web_title": "ExampleSaas HR - Modern HR Platform for Growing Teams",

19"web_h1": "Hire, onboard, and retain top talent",

20"web_description": "The all-in-one HR platform that helps you build great teams. Recruitment, onboarding, performance reviews, and more.",

21"web_homepage_text": "# ExampleSaas HR\n\nHire, onboard, and retain top talent\n\n## Features\n- Recruitment\n- Onboarding\n- Performance reviews...",

// ...

Google Maps Data

3 fields

26.6%Fill rate — percentage of companies in the dataset with this field filled

Number of branches — Number of branches on Google Maps

26.4%Fill rate — percentage of companies in the dataset with this field filled

Number of reviews — Number of reviews on Google Maps

26.4%Fill rate — percentage of companies in the dataset with this field filled

Extended Google Maps Data — 50+ additional fields from Google Maps including photos, opening hours, price level, business status, and more.See full schema →

// ...

12"size_gm_branches": 2,

13"size_gm_reviews": 23,

14"gm_rag_json": [{"place_id": "ChIJIQBpAG2ahYAR_6128GcTUEo", "rating": 4.8, "business_status": "OPERATIONAL", "types": ["software_company", "point_of_interest"]}],

// ...