Computer consultancy activities companies in Mühlheim am Main

Mühlheim am Main ·Currently listed companies in the Computer consultancy activities industry headquartered in Mühlheim am Main.

28 companies · 1–20 of 28

ADVERTIFY UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 55353 Offenbach am Main · 2023
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Ananjo Informatiker GmbH GmbH · HRB 51414 Offenbach am Main · 2019
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aragona GmbH GmbH · HRB 55039 Offenbach am Main · 2022
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Artingtec GmbH GmbH · HRB 58163 Offenbach am Main · 2025
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Balux Beratungsgesellschaft mbH GmbH · HRB 52055 Offenbach am Main · 2019
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Beta EDV Service- und Vertriebsgesellschaft mit beschränkter Haftung GmbH · HRB 7199 Offenbach am Main · 1989
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BÜRODATA BÜLO UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 53323 Offenbach am Main · 2021
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Chaoui GmbH GmbH · HRB 58678 Offenbach am Main · 2026
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Ciphowork GmbH GmbH · HRB 52685 Offenbach am Main · 2020
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Freiherr-vom-Stein-Beratungs GmbH GmbH · HRB 48906 Offenbach am Main · 2016
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FZ Enterprises GmbH GmbH · HRB 47898 Offenbach am Main · 2014
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Hannes Geist GmbH GmbH · HRB 50930 Offenbach am Main · 1988
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i2b Intelligence to Business GmbH GmbH · HRB 53550 Offenbach am Main · 2004
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i2b pro GmbH GmbH · HRB 56609 Offenbach am Main · 2024
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i2b recon GmbH GmbH · HRB 53374 Offenbach am Main · 2021
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i2b Services GmbH GmbH · HRB 53280 Offenbach am Main · 2017
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KDS Projekt GmbH GmbH · HRB 46790 Offenbach am Main · 2013
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net-wb GmbH GmbH · HRB 11826 Offenbach am Main · 2001
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Permtech GmbH GmbH · HRB 54713 Offenbach am Main · 2022
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PIGNUS-TEC UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 126401 Frankfurt am Main (Frankfurt) · 2021
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All industries in Mühlheim am Main

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Mühlheim am Main","industry_code":"62.20.1","industry_scheme":"WZ2025"}

# pip install handelsregister
from handelsregister import Handelsregister

client = Handelsregister(api_key="YOUR_API_KEY")  # or set HANDELSREGISTER_API_KEY
page = client.search_organizations(
    filters={
        "city": "Mühlheim am Main",
        "industry_code": "62.20.1",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=0,
)
print(page["total"])
for item in page["results"]:
    print(item["name"], item["registration"]["register_number"])

// npm install handelsregister
import { Handelsregister } from 'handelsregister';

const client = new Handelsregister('YOUR_API_KEY'); // or set HANDELSREGISTER_API_KEY
const page = await client.searchOrganizations({
  filters: {
      "city": "Mühlheim am Main",
      "industry_code": "62.20.1",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 0,
});
console.log(page.total);
for (const item of page.results) {
  console.log(item.name, item.registration.register_number);
}

// npm install handelsregister
const { Handelsregister } = require('handelsregister');

const client = new Handelsregister(process.env.HANDELSREGISTER_API_KEY);
(async () => {
  const page = await client.searchOrganizations({
    filters: {
        "city": "Mühlheim am Main",
        "industry_code": "62.20.1",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 0,
  });
  console.log(page.total);
  for (const item of page.results) {
    console.log(item.name, item.registration.register_number);
  }
})();

curl 'https://handelsregister.ai/api/v1/search-organizations?limit=20' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Mühlheim am Main","industry_code":"62.20.1","industry_scheme":"WZ2025"}'

{
    "results": [
        {
            "entity_id": "<32-char hex>",
            "name": "<string>",
            "registration": {
                "court": "<string>",
                "register_type": "<string>",
                "register_number": "<string>"
            },
            "address": {
                "house_number": "<string>",
                "street": "<string>",
                "postal_code": "<string>",
                "city": "<string>",
                "county": "<string>",
                "state": "<string>",
                "country": "<ISO country>",
                "coordinates": {
                    "latitude": "<float>",
                    "longitude": "<float>"
                }
            },
            "registration_date": "<ISO date>",
            "purpose": "<string>"
        }
    ],
    "total": "<int>",
    "meta": {
        "request_credit_cost": "<int>",
        "credits_remaining": "<int>"
    }
}

results[]

entity_id string

Stable 32-char hex identifier. Pass straight into /fetch-organization as `q`.

name string

Registered company name.

registration object

address object

Postal address with street, house_number, postal_code, city, county, state, country and coordinates (latitude/longitude).

registration_date date

Initial entry into the commercial register (ISO date).

purpose string

Stated business purpose (Unternehmensgegenstand).

top-level

total integer

Total result count for pagination.

meta.request_credit_cost integer

Credits actually charged for this call.

meta.credits_remaining integer

Account credit balance remaining after this call.

Location · Industry · Legal form · Full-text

Filters & master data — via search-organizations

City, industry, legal form, registration date: every argument combinable through the filters parameter. One REST endpoint, every German company.

Location & geo Filter by city, postal code, state and county through city, postal_code, state and county.
Industry (WZ2025) Industry segmentation via the official WZ2025 codes — industry_code combined with industry_scheme.
Legal form GmbH, AG, KG, OHG and more via legal_form_code.
Company size bs_company_size_category – small, medium, large based on balance-sheet totals.
Active status Restrict to active entries or include deleted companies via active.
Registration date Date ranges via registration_date_from and registration_date_to.
Full-text search Free-text query via the q parameter (min. 2 characters).
Pagination skip and limit (up to 30 results per call) for deep lists.
Master data per result entity_id, name, address, registration and registration_date – pass entity_id straight to /fetch-organization.

Run every filter live with an API key. Get an API key →

Code · AI-Agents · No-Code · Workflows

Drops into any stack

The search-organizations API speaks every mainstream client: REST, Python, Node, MCP for AI agents, n8n and webhook platforms.

REST API Simple GET request with the X-API-KEY header and JSON-encoded filters. Python requests, httpx or your favourite library — pass filters via json.dumps. Node.js fetch or axios with URLSearchParams. Works in edge, worker and browser runtimes. MCP Server Directly in Claude, Cursor or any MCP-aware AI client as the search_organizations tool. n8n Pre-built custom node for workflow automation — city, industry and size as filter inputs. Webhook Callable from Zapier, Make or any other webhook platform.

This list in your app

Grab an API key and filter every German company by city, industry, size and more — straight from your application. One REST endpoint, every result.

Get an API key

Filters & master data — via search-organizations

Drops into any stack

This list in your app

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