Stringers
Web · 11-6 written
handelsregister.ai · handelsregister.ai

German company register turned into an API: handelsregister.ai scraped its way up with millions of multilingual company pages, but that road is now crowded

What it is It turns German company register information, shareholders and annual-report financials into an API that programs can call directly. It charges per lookup at 1 cents each, with add-ons for sales lead lists, bulk enrichment and change monitoring.

Why it took off The official register has been free since 2022 but has no API and is rate-limited. handelsregister.ai took the company database Fusionbase had built up over years and resold it under a category-keyword domain. In summer 2026 it put pages for millions of companies up in 20 languages and captured the long tail of "search a German company."

CHow you could follow it Don't build a German company-register API from scratch. Copy its page strategy: when you hold public data that others can't easily bulk-fetch, make one page per entity, include copy-paste call code and truncated JSON, translate into several languages, then hook up MCP so agents can call it.

C grade: the traction comes from years of accumulated data that followers can't get. Germany already has North Data, OpenRegister and Skael, which has cut prices to €0.01, and Austria and France have similar services too. What you can take from it is only the distribution playbook. Chatter in small circles

Global rank 206k · 90 days ago 544k

A Munich data company turns the German commercial register (Handelsregister) into a pay-per-call API and builds a page for each of millions of German companies, translated into 20 languages. In four months its global ranking climbed from about 690k to about 200k. The playbook is worth studying, but the business is hard to copy: the data took six or seven years to collect, plenty of rivals can scrape the same thing, and someone has already built an Austrian version.

A comparison table

In Nov 2026 5, a Munich man named David Lionel Wassilowsky published a long German-language article under his personal brand Skael: "Handelsregister API: a seven-way comparison from 2026." The first row in the table is his own service, and the second is handelsregister.ai. He did the math carefully: handelsregister.ai charges €0.033–0.05 for a basic company profile and €0.07–0.10 with shareholders, while his own price is €0.01 per lookup, or €0.02 with shareholders.

A one-person company writing a long article, naming a competitor and undercutting its price suggests the keyword is valuable. On the same day, handelsregister.ai ranked #205,677 on the global website ranking (Tranco, 30-day average, 11-05). 90 days earlier it was at #543,848, a rise of about 2.6 times.

What it is

In one line: it turns German company register information into an interface programs can call directly.

Since 2022 August, Germany has made the register free to access, but the official portal handelsregister.de has no API and allows only 60 queries per hour, and what you get back is mostly scanned documents. handelsregister.ai fills that gap: company profiles, shareholders, directors, change history, balance sheets and 90 financial metrics extracted from annual reports, and insolvency notices, all turned into JSON. The founder, in his Hacker News post in Jul 2025 31, put it this way: "German company data is notoriously messy and hard to parse programmatically... no scraping, no manual cleanup." That post got only 2 points.

Money comes from subscriptions and credits: 1 credit = €0.01; a basic company profile costs 5 credits; monthly Plus €69 (8,000 credits), Pro €129, Max €499, with 150 free credits on signup (pricing page, November). Over 2026 from July to October it shipped a new feature almost every week: company exports, change monitoring, Lead Builder (filter companies by criteria and pull sales lists), bulk CSV enrichment, and deep shareholder data. It went from a developer API to a tool sales and KYC/compliance teams can use directly. It also built an MCP interface and a ChatGPT app, so Claude and ChatGPT can look up German companies directly.

Behind it is Fusionbase GmbH, a data company spun out of TU Munich 2019 years ago, listing 2–10 employees on LinkedIn.

Where the traffic comes from: one page per company, 20 languages

Open any company page, say MCP GmbH & Co. KG, a plastic packaging maker in Braunschweig, at /en/organizations/braunschweig/manufacture-of-plastic-packing-goods/mcp-gmbh-co-kg-…. The URL is language / city / industry / company name. The page shows:

  • company name, register number (HRA 201836 Braunschweig), and website;
  • ready-made curl, Python, and JavaScript call snippets;
  • a JSON preview where name, status, address, and register court are visible, while contact info, industry codes, directors, shareholders, and history are collapsed. Clicking expands to "Sign up free to view full JSON";
  • an "Open in ChatGPT" button.

The language menu in the top right has 20 options: English, German, French, Italian, Chinese, Polish, Dutch, Spanish, Portuguese, Japanese, Arabic, Korean, Swedish, Danish, Norwegian, Czech, Romanian, Hungarian, Finnish, and Greek. Millions of companies times 20 languages, plus city and industry directory pages and a set of glossary pages like "What is HRA", make a very large long-tail search net.

The effect shows in Chrome real-user data: Germany went from 2026 in 5 and June's top 100k sites to the top 50k from July. Spain, the UK, Italy, the Netherlands, Poland, and Turkey all went from never ranking between 7 and September to the top 500k, and France reached the top 1M. For a site about German companies to be opened in Chrome by people in many non-German-speaking countries, the most likely explanation is that they searched for a German company and landed on a company page in their own language (inference).

There's a supporting clue: Fusionbase's own site, fusionbase.com, has the same company pages with identical company IDs, and its ranking rose from 940k to 300k over the same period. Two domains, the same data, rising together.

Two other helpers:

  • The domain is the category keyword. The first thing Germans type to look up a company is Handelsregister, and searching "Handelsregister API" puts it first.
  • It got into agent and automation tool directories. n8n has an official integration, the MCP interface connects directly to Claude and ChatGPT, and the site publishes llms.txt and openapi.json. This brings little traffic, but it brings people who pay.

The ranking didn't rise steadily: it climbed from late July to early September (peaking at 191k), fell back to 288k from mid-September to early October, and climbed again to around 200k from October. The reason for the mid-period drop isn't clear; search engine indexing changes are a possible cause (inference).

Who it's competing with

Plenty. By global rank 11-05:

CompetitorsWhat it isGlobal rankCompared with alternatives
North DataThe oldest German company data site, since about 2016About 27kMuch higher ranked and the most recognized brand; API from €500/month, annual contract, expensive and slow
handelsregister.deOfficial portalAbout 31kFree, but no API, limited to 60 requests per hour
CompanyHouse.deFree lookup siteAbout 104kRelies on search traffic, doesn't push the API
ImplisenseB2B lead platform + APIAbout 129kHigher per-unit price
OpenRegister.deBerlin team, API + SDK + MCP + company pagesAbout 198kClosest rival: nearly identical strategy, price, and ranking. Gives 500 credits per month, about €0.10 per lookup
SkaelOne-person company in MunichNot in the top 1MA €0.01 product, 3–5 times cheaper than it; also has shareholder and annual report data, currently in beta

There are also scraping scripts on Apify, the open-source crawler bundesAPI/handelsregister, and global coverage from OpenCorporates and CompanyData.com.

handelsregister.ai's edge is deeper financial and shareholder data (shareholders traceable down to share-number level), more page languages, and much lower prices than North Data with no contract. But "cheaper" has already been undercut by Skael.

Why it took off, and why you can't get the same thing

Breaking down the causes:

  1. The data already exists. Fusionbase has been scanning and parsing annual reports from the German commercial register and Federal Gazette since 2019. The two sites share company IDs, which suggests handelsregister.ai is just a different brand and pricing model. A newcomer would need one to two years of scan recognition, financial statement parsing, and company deduplication before reaching that starting point (inference).
  2. Timing. In 2022, official data was free but offered no API, leaving a middle layer open. In 2025–26, AI agents needed reliable company data, and two of the three user reviews on the site talk about AI agents.
  3. Distribution playbook. Category keyword domain plus company pages in 20 languages. This is the only part you can directly copy.

Point 1 can't be copied by followers; point 2 is visible to everyone, which is why OpenRegister and Skael crowded in; only point 3 can be imitated.

What about other countries?

Looking at neighboring countries:

  • Austria: firmafind.at already sells a "Firmenbuch REST API + MCP" with annual reports; openfirmenbuch.at, auszug.at, and Wirtschafts-Compass also exist (search results, 11-06).
  • France: Pappers is a mature version of this model, with API from €30/month, and has also built Pappers International covering several European countries.
  • UK, Switzerland, Poland: the official registers already offer free APIs, so there's no "free but not accessible" gap (not verified one by one).

The "official data is free but there's no API" gap is most typical in Germany, which is why it has the most competitors. Other large European countries either already have official APIs or already have someone serving the market.

If it were you

C. Worth learning from, but following is not a good deal. The business rests on six or seven years of accumulated data. Seven or eight companies in Germany are fighting over one keyword, and Austria and France already have players. What you can take directly is its distribution playbook.

  • Who it fits: teams that already hold structured data nobody else has, split by entity, such as public tenders, patents, court notices, or drug or building permits in a given country, where the official data is public but hard to bulk-access.
  • Who it doesn't fit: indie developers who want to build a "national company register API" from scratch. In Germany you'd be competing on price with North Data, OpenRegister, and Skael at €0.01. In a small country, the data volume can't support enough pages, and there are fewer paying users.
  • How to do it: copy the pages, not the category. One page per entity (URL includes city, category, and name), with copy-ready call code and a truncated JSON on the page, key fields collapsed and gated behind signup, then translated into 10–20 languages. For pricing, follow its model: 1 credits = 1 cents, no charge for lookups that return nothing, and a small free credit on signup.
  • How to get users: rely on long-tail search, with a domain that matches the exact search terms locals use. At the same time, ship the MCP interface, llms.txt, and an n8n integration so agents and automation tools can call it directly. Skip Hacker News: it only got 2 points.
  • Timing: this playbook doesn't depend on a window, but as AI search increasingly gives direct answers, the path of capturing long tail through company pages is narrowing (inference). If you're going to do it, get the pages out before the first half of 2027, then check within three months whether search engines index them and bring real visitors.
  • Signs you've misjudged it: (1) handelsregister.ai's ranking falls back below 500k in early 2027, which would mean search engines are demoting the multilingual company-page long tail and the playbook itself is unstable; (2) conversely, a one-person company like Skael reaching the top 300k within six months with one comparison article and low prices, which would mean the German category isn't saturated and the data isn't that hard to build, so the rating should go up.

Website ↗

Research notes: competitor table, acquisition evidence, full research report
Competitors
NameWhereLaunchedScaleHow it differs from this one
handelsregister.de (official portal)WebVery early; free since 2022-08Tranco 30,649Free but no API, limited to 60 requests per hour, no contact info, industry codes, or structured financials
North DataWebAbout 2016northdata.de Tranco 27,114Largest brand and highest traffic, but API starts at €500/month with an annual contract; handelsregister.ai is self-serve, pay-per-use, and cheaper
OpenRegister.deWebNot verified (about 2024–25)Tranco 198,005, CrUX Germany top 50kClosest rival, also with API, MCP, SDK, and company pages; free tier gives 500 credits per month. handelsregister.ai is cheaper per lookup (€0.033–0.05 vs €0.10), has deeper financial and shareholder data, and more languages
CompanyHouse.deWebEarly onTranco 103,969Free lookup site, SEO-driven, doesn't push the API
ImplisenseWebAbout 2013Tranco 128,951Sells a B2B lead platform, billed per Implicent, high unit price
CompanyData.comWebNot verifiedTranco 414,153Covers 190 countries worldwide with contact info, but register depth is shallow
OpenCorporatesWeb2010Tranco 18,283Global open data, but not enough depth on German financials and shareholders
bundesAPI/handelsregisterOpen sourceAbout 2021GitHub scraper projectsFree to scrape the official portal, but rate-limited, with no financials or shareholders
Apify Handelsregister Actor / DACH BI MCPOther2024–26SmallLive scraping with no historical database, so results are unreliable
Where users come from
  • Confirmed Programmatic SEO (company pages + entry pages in 20 languages): /{lang}/organizations/{city}/{industry}/{company} structure; ranks top 3 when searching a company name; CrUX shows new entries across several European countries; sister site fusionbase.com rose in sync with the same data
  • Confirmed Category keyword domain / brand search: searching "Handelsregister API" puts it at #1 (Jina search)
  • Confirmed Developer / agent ecosystem listings: n8n official integration, MCP server (2025-09), Python/JS SDKs, llms.txt; listed on agent marketplaces such as getbob.ai and wanta.ai
  • Confirmed Launch community posts: Show HN, 2025-07-31 points 2; PH, 94 votes; posted on r/deutschestartups
  • Inferred Migration of Fusionbase's existing customers: the operating entity is Fusionbase GmbH, and both sites share company IDs; how many customers were migrated is unverified
  • Inferred Paid ads: our ad libraries don't match

handelsregister.ai: German commercial register API, and why its traffic is rising

One line

handelsregister.ai is operated by Fusionbase GmbH in Munich (Amtsgericht München HRB 252322, CEO Patrick Holl, GitHub account padho). It turns the German commercial register (Handelsregister) and the federal gazette (Bundesanzeiger) annual reports and insolvency notices into a structured REST API, plus an MCP server, Lead Builder, CSV enrichment, and Signals monitoring. The growth comes from an "old data company in a new skin" play: Fusionbase built a nationwide company database starting in 2019, in 2025 it repackaged that data as a developer API under a .ai domain matching the category keyword exactly, and in summer 2026 it used programmatic company pages (pSEO) in about 20 languages × millions of companies to capture long-tail search.

1. What it is

  • Official site: "Das gesamte Handelsregister als API" (the entire commercial register as an API). Billed per credit, 1 credit = €0.01, basic company profile 5 credits. Subscriptions: Plus €69/month (8,000 credits), Pro €129/month, Max €499/month. Signup gives 150 credits (2025 credits at the time of the HN post in 500). Sources: pricing section at handelsregister.ai/de, handelsregister.ai/llms.txt
  • Product line (from the changelog at handelsregister.ai/en/changelog): 2025-08 website AI mode → 2025-09-10 MCP server → 2025-11 expanded search filters → 2026-03 live mode → 2026-04 person profiles / UBO → 2026-07 M&A data, account API → 2026-08 company export, Signals, monitoring, watchlists → 2026-09-04 Lead Builder and Company Enrich → 2026-10-01 deep shareholder data. Shipping is fast, moving from "developer API" toward sales-lead and KYC tooling.
  • The entry points for AI agents are thorough: it has llms.txt and openapi.json, and its MCP server supports OAuth 2.1, so it plugs directly into Claude and ChatGPT. n8n It has official integrations (n8n.io/integrations/handelsregisterai), and agent marketplaces such as getbob.ai and wanta.ai list it too.
  • Company pages: /{lang}/organizations/{city}/{industry}/{company-name-entity_id}. Language switching covers EN/DE/FR/IT/ZH/PL/NL/ES/PT/JA/AR/KO/SV/DA/NO/CS/RO/HU/FI/EL, 20 languages in total. Each page shows the company's basic register information, curl/Python/JS sample code, and a JSON preview; other fields require signup.
  • Team: LinkedIn lists 2–10 employees and 23 followers, based in Munich. Fusionbase is a spin-off from TU München, founded in 2019, and has received support from EXIST and Media Lab Bayern (softwarecampus.de, media-lab.de). f6s claims it got $3.1m from the European Innovation Council (EIC), unverified.

2. Traffic: growth is on the web, not in an app

Traffic library (Tranco, 30-day rolling average):

DateRank
2026-07-30690,076
2026-08-06543,848
2026-08-20230,146
2026-09-03190,676 (peak)
2026-10-01288,264 (pullback)
2026-10-22252,056
2026-11-05205,677

CrUX (real Chrome users):

  • Germany: 2026-05 and 06 in the top 100k, entering the top 50k from 07;
  • Global: 2026-07 in the top 1M, entering the top 500k from 08;
  • Spain, Italy, the UK, the Netherlands, Poland and Turkey all entered the top 500k between 2026-07 and 09; France and India are in the top 1M.

Reading:

  • Two growth waves: one from late July to early September in 2026, another starting in October.
  • Countries outside Germany started appearing, and the timing lines up with the launch of company pages in 20 languages (the exact launch dates weren't found; Wayback is unreachable). The most plausible explanation for Chrome visitors in non-German-speaking countries is that searches for German companies land on the local-language company pages.
  • There's no app; all traffic is on the web. Some of it is API calls, but CrUX only counts real Chrome users, so the growth isn't an artifact of API traffic.

Corroboration: the sister site rose in sync. fusionbase.com has company pages with the same structure, and the entity_id scheme matches handelsregister.ai (Fusionbase GmbH is on both sites as ff525267…). Its Tranco rank went from 2026-08-06 to 11-05 (from 941,334 to 304,180), and CrUX shows it newly entering the nl/pl/es/fr/it lists in 2026-08 and 09. One team running pSEO across two domains on the same data, with both rising together, is strong evidence.

3. Competitors

CompetitorsFormLaunchedScale (traffic library, 2026-11-05 Tranco)How it differs from handelsregister.ai
handelsregister.de (official register portal)Government websiteVery early; free access since the DiRUG law took effect in 2022-08-0130,649Free but no API, limited to 60 requests per hour; no phone numbers, emails, industry codes, or structured financial data
North Data (northdata.de/.com)Web + APIaround 201627,114 / 30,806Largest volume and oldest brand. API starts at €500/month, shareholder data costs €1,500/month, contracts run 6–12 months. handelsregister.ai is self-serve, small-ticket, pay-per-use
OpenRegister.de (Berlin, Descartes Technologies GmbH)Website + API + SDK + MCPUnverified (about 2024–25 years)198,005 (30 days ago 239,107)Closest rival: the free tier gives 500 credits per month, Pro is €59, with Python/TS/Go SDKs and MCP, plus programmatic company pages (top 50k in Germany CrUX, top 500k in es/it). Traffic is nearly identical. handelsregister.ai wins on lower per-unit price (company profile €0.033–0.05 vs. about €0.10 for OpenRegister), deeper financial fields, and more languages
CompanyHouse.deFree company info sitesEarly on103,969Free lookup sites for small businesses, driven by SEO, not focused on APIs
unternehmensregister.de / bundesanzeiger.deOfficial—66,960 / 57,720Raw documents, unstructured
ImplisenseLead platform + API + MCParound 2013128,951Sells B2B leads, billed per Implicent, higher unit price
CompanyData.com (BoldData, Amsterdam)Global company data API—414,153Covers 190 countries and includes contact details; less depth on the register than handelsregister.ai
OpenCorporatesGlobal open company data201018,283Global coverage and open data, shallow in Germany
bundesAPI/handelsregisterOpen-source scrapersAround 2021GitHub projectsFree, but limited to 60 requests per hour; no financial or shareholder data
Apify "Handelsregister API" (radeance), DACH BI MCP (actorpilot)Scraping Actors2024–26SmallScrapes the official portal live; results are unreliable and there's no historical database
Skael (api.skael.de)Lead API with register data2026Not in Tranco top 1MPositioned as an AI lead-gen tool; 2026-11-05 published an SEO post, "Handelsregister API: 7 providers compared," directly naming handelsregister.ai

Verdict: the niche isn't new, and it's crowded. North Data and the official portal hold the big traffic, and OpenRegister launched around the same time at the same price with the same playbook. handelsregister.ai didn't break out because it had no rivals; it pulled ahead inside a crowded market: Tranco 90 days ×2.6; OpenRegister over 30 days only ×1.2.

4. Growth tactics

  1. Programmatic company pages (pSEO), in 20 languages. Verified: company pages exist and rank. The traffic share is inferred.
    • Evidence: millions of German companies × 20 languages × city / industry directory pages.
    • Searching the company name "Klaus Geschäftsführungs-GmbH Augsburg" via Jina, its company page ranks #3, behind only the official site and North Data; searching "Fusionbase GmbH" also surfaces its company page.
    • There are also /glossary/ entry pages (e.g. "Abteilung A HRA," "Firma," "Handelsregisterportal") that capture concept keywords.
    • CrUX shows new entries in several countries, and sister site fusionbase.com rose in step; both point to pSEO.
  2. Exact-match category keyword domain (verified). The first term Germans think of for company lookup is "Handelsregister." "handelsregister.ai" naturally captures searches like "Handelsregister API," and it ranks first in Jina search.
  3. Developer / agent ecosystem listings (verified): n8n official integration, an MCP server (2025-09), a Python/JS SDK on GitHub (Python library at 11 stars), llms.txt, plus agent app marketplaces such as getbob.ai and wanta.ai. The card mentions a ChatGPT App; I didn't verify each one.
  4. Launch community posts (verified, minor impact):
    • 2025-07-31 Show HN got only 2 points (author padho);
    • Product Hunt the same day: 94 votes;
    • a Reddit r/deutschestartups post, "Umfangreichste API fürs Deutsche Handelsregister, über 5 Millionen Firmen" (about 2025-06).
    • None of these were the main traffic drivers.
  5. Paid ads: none found. Our ad library returned no match on the card; not finding them doesn't mean there was no spend.
  6. Migrated legacy users (inferred): Fusionbase already had enterprise clients (insurance and others, see insurtech-munich.com), and the API and data most likely run on Fusionbase's stack.

5. Why it took off

  • The data foundation was already built: Fusionbase has run an external data hub since 2019, and both sites share the same company IDs, which suggests the database, extraction pipeline, and financial report parsing already existed. handelsregister.ai is essentially a new brand and commercial front end. A new entrant would need a year or two of OCR and parsing work before having this data.
  • Timing: after the DiRUG law took effect in 2022-08, official registry access became free, but there's still no API, and it's rate-limited to 60 requests per hour (as companydata.com and zephira.ai both note). The result is "data is free, but hard to access," which leaves room for a middle layer. Over 2025–26 years, AI agents and MCP spread, and "feed reliable German company data to agents" became a new need; two of the three user testimonials on the site talk about KI-Agenten.
  • pSEO + multilingual: seeding company pages in 20 languages captures the long tail of "foreigners looking up German companies," and CrUX entries across several European countries are the evidence. Competitors North Data and OpenRegister seem to offer far fewer languages (not checked one by one).
  • Self-serve small payments: €0.01/credit, a free tier, Stripe checkout in seconds, versus North Data at €500+/month on annual contracts. Developers and small teams find it easier to start.
  • Fast iteration: in 2026 from 7 through October, there was a new feature almost every week (Signals, monitoring, export, Lead Builder, Enrich, deep shareholder data), turning the API into something sales and KYC teams can use directly, which raises willingness to pay.

6. Differentiation, and whether it explains the breakout

  • Versus North Data: cheaper, self-serve, pay-per-call, and the financial fields (90+ KPIs, balance-sheet tree, annual reports in Markdown) are LLM-friendly.
  • Versus OpenRegister: cheaper per single lookup, deeper financials and shareholders (share-number-level shareholder history), and more languages.
  • Versus the official portal and open-source scrapers: structured, historical, with financials, and no rate limits.
  • The differentiation that's observable and explains the traffic is "programmatic company pages in 20 languages" plus "category-keyword domain." The API's own differentiation (finer financial fields, MCP) mainly affects conversion and payment, and contributes little to traffic. So the read is: traffic comes mostly from distribution (pSEO and the domain), while retention and payment come from product depth; both rest on the data assets Fusionbase accumulated over many years.

7. Visibility: a small circle

  • HN 2 points, PH 94 votes;
  • X corpus (x-radar) shows 0 mentions in one year;
  • LinkedIn 23 followers, G2 2 0 reviews;
  • No public revenue (nothing on TrustMRR, and no founder revenue posts).
  • The ones paying attention are peers: Skael's comparison page, published by 2026-11-05, lists it as the second option; on Reddit r/DataHoarder, someone groups it with OpenRegister and North Data as the three commercial providers.

8. Copycats

  • Skael (2026, a lead API that ships its own registry data, publishing a comparison page to ride the category keyword), CompanyData.com's /handelsregister-api/ landing page, the Handelsregister Actor on Apify, and DACH BI MCP are all competing for the "Handelsregister API" term.
  • OpenRegister is more of a parallel competitor from the same period than a copycat.
  • The "registry → API → multilingual pSEO + MCP" pattern hasn't clearly been copied in other countries (Netherlands KvK, Austria, Switzerland) (not systematically verified).

9. What others can borrow

  • Find public registry data that is free from the government but has no API and is rate-limited (companies, patents, tenders, land, court notices), structure it yourself, and sell three things: an API, an MCP, and programmatic pages.
  • One page per entity, with sample code and truncated JSON on the page, translated into 20 languages: the same data serves SEO and converts visitors into developers.
  • Use the category keyword locals actually search, with a .ai domain.
  • Pricing copied from "1 credits = 1 cents, billed per field, no charge when there's no data," which lowers the barrier to trying it.
  • Established companies that already have data assets can launch a self-serve product line on a new category-keyword domain without changing the original brand.

10. Still unclear

  • Launch dates for the company pages and multilingual versions (Wayback wouldn't load), and the reason for the 2026-09-to-10-01 ranking drop (a Google core update? re-indexing?).
  • How much traffic comes from organic search, ChatGPT/AI search citations, and API calls.
  • Revenue and paying user count, and the EIC funding amount.
  • Whether fusionbase.com and handelsregister.ai are served from the same backend generating pages for both sites.
  • OpenRegister's launch date and how many languages its company pages cover.

Sources

This article was written by AI from public data and the data we collect daily. Numbers are sourced, and inferences are labeled.