Engineering activities for technical building equipment companies in Leverkusen

Leverkusen ·Currently listed companies in the Engineering activities for technical building equipment industry headquartered in Leverkusen.

51 companies · 1–20 of 51

Abika GmbH GmbH · HRB 82211 Köln (Cologne) · 2014
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AGU Planungsgesellschaft für Automatisierungs-, Gebäude- und Umwelttechnik mbH GmbH · HRB 48886 Köln (Cologne) · 1992
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AIW Immo Service UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 113675 Köln (Cologne) · 2022
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AMI EMSR Projekt Engineering GmbH GmbH · HRB 117904 Köln (Cologne) · 2024
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AS Intellmess GmbH GmbH · HRB 126847 Köln (Cologne) · 2018
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Belde Projekt GmbH GmbH · HRB 107832 Köln (Cologne) · 2021
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Blank Technik für Gebäude GmbH GmbH · HRB 85925 Köln (Cologne) · 2015
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Bräutigam Ingenieurgesellschaft mbH GmbH · HRB 80406 Köln (Cologne) · 2014
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Colonia Ausbau GmbH GmbH · HRB 108656 Köln (Cologne) · 2021
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ConProMa Leverkusen GmbH GmbH · HRB 117378 Köln (Cologne) · 2024
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CTE Chemietechnik-Engineering GmbH GmbH · HRB 29301 Köln (Cologne) · 1997
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DaBeKo GmbH GmbH · HRB 120501 Köln (Cologne) · 2024
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db Planung UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 89462 Köln (Cologne) · 2016
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DIMA GmbH GmbH · HRB 112270 Köln (Cologne) · 2022
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ElKom-Tec GmbH GmbH · HRB 98034 Köln (Cologne) · 2019
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ELSTEK Gesellschaft für Elektro-, Licht- und Sicherheitstechnik mbH GmbH · HRB 79327 Köln (Cologne) · 2012
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EMAS Ingenieure GmbH GmbH · HRB 118577 Köln (Cologne) · 2023
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Engel247 UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 115167 Köln (Cologne) · 2023
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EnviroFALK PharmaWaterSystems GmbH GmbH · HRB 49124 Köln (Cologne) · 1995
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ernitec GmbH GmbH · HRB 118624 Köln (Cologne) · 2024
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All industries in Leverkusen

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Leverkusen","industry_code":"71.12.3","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": "Leverkusen",
        "industry_code": "71.12.3",
        "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": "Leverkusen",
      "industry_code": "71.12.3",
      "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": "Leverkusen",
        "industry_code": "71.12.3",
        "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":"Leverkusen","industry_code":"71.12.3","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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