Fresh as March 2026
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NACE K64
Largest B2B Database of
Financial service activities Companies
Access 1000K+ company profiles with AI-enriched data from websites, professional networks, maps, and government registries
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+1000K+
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.
Complete coverage of the Financial service activities sector across all countries
Top 10 Countries by Company Count
1🇺🇸United States
266K+2🇬🇧United Kingdom
58K+3🇮🇳India
45K+4🇨🇳China
32K+5🇧🇷Brazil
30K+6🇩🇪Germany
26K+7🇫🇷France
24K+8🇷🇺Russian Federation
20K+9🇨🇦Canada
19K+10🇦🇺Australia
13K+Top Sub-industries by Company Count
Explore 1000K+ companies across 4 NACE groups
What's Inside Our Database
General data
7 fields100%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 fields97.9%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 fields83.5%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 fields93.1%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 fields29%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 fields10.2%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 fields29%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 fields91.2%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 fields26.6%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"]}],
// ...
Technologies
1 fields4.6%Fill rate — percentage of companies in the dataset with this field filled
Technologies — Technologies used by the company, obtained from open sources (e.g., DNS records or website content)
Corporate messengersCRM and ERP systemsPayment service providerProductivity tools
// ...
12"technologies": ["react", "typescript", "aws", "stripe", "intercom", "segment", "mixpanel", "slack"],
13"marketing_pixels": ["google_ads", "meta_pixel", "linkedin_insight", "hubspot"],
// ...
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