Computer consultancy activities companies in Pfaffenhofen an der Ilm

Pfaffenhofen an der Ilm ·Currently listed companies in the Computer consultancy activities industry headquartered in Pfaffenhofen an der Ilm.

40 companies · 1–20 of 40

arca-consult GmbH GmbH · HRB 6815 Ingolstadt · 2003
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Arsandis GmbH GmbH · HRB 7748 Ingolstadt · 2016
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Cordaware GmbH Informationslogistik GmbH · HRB 191252 Ingolstadt · 2003
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Diawene UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 12295 Ingolstadt · 2025
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Digitale Konzepte e.K. e.K. · HRA 3792 Ingolstadt · 2022
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Dirk Brennemann Management UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 8376 Ingolstadt · 2017
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EDV-Beratung Hilgert, Gesellschaft für Systemanalyse, Organisation und Programmierung mbH GmbH · HRB 190391 Ingolstadt · 1986
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epikuria GmbH GmbH · HRB 10680 Ingolstadt · 2015
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Exato Exam Management and Automation GmbH GmbH · HRB 9787 Ingolstadt · 2020
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exp software GmbH GmbH · HRB 11396 Ingolstadt · 2023
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GO Beratung Pfaffenhofen GmbH GmbH · HRB 190742 Ingolstadt · 1997
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GTBI-Gesellschaft für technischen Betrieb im Internet mbH GmbH · HRB 7608 Ingolstadt · 2015
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GTSK - Gesellschaft für Technische Softwareentwicklung und Konzeption mbH GmbH · HRB 8400 Ingolstadt · 2017
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HP Auto-ID Systeme GmbH GmbH · HRB 6974 Ingolstadt · 2009
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IBS - Intelligent Business Solutions GmbH GmbH · HRB 9116 Ingolstadt · 2019
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Ilmtal lT Service GmbH GmbH · HRB 7717 Ingolstadt · 2016
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IT-Consulting Nils Meyer GmbH GmbH · HRB 10845 Ingolstadt · 2022
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ITCMS GmbH GmbH · HRB 6656 Ingolstadt · 2013
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Janze & Janze GmbH GmbH · HRB 11717 Ingolstadt · 2024
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JBitz Beratungs- und Beteiligungsgesellschaft mbH GmbH · HRB 11602 Ingolstadt · 2024
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All industries in Pfaffenhofen an der Ilm

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Pfaffenhofen an der Ilm","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": "Pfaffenhofen an der Ilm",
        "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": "Pfaffenhofen an der Ilm",
      "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": "Pfaffenhofen an der Ilm",
        "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":"Pfaffenhofen an der Ilm","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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