Engineering activities for technical building equipment companies in Darmstadt

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

53 companies · 21–40 of 53

F & B - Engineering GmbH GmbH · HRB 108148 Darmstadt · 2025
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Fahrenholz Engineering GmbH GmbH · HRB 88182 Darmstadt · 2009
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Fast + Epp GmbH GmbH · HRB 89293 Darmstadt · 2010
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Fördersysteme Engineering GmbH GmbH · HRB 6626 Darmstadt · 1997
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GC Ingenieurbüro GmbH GmbH · HRB 108993 Darmstadt · 2026
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Hopes Energy GmbH GmbH · HRB 106077 Darmstadt · 2024
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HTM Gebäudetechnik GmbH GmbH · HRB 96856 Darmstadt · 2013
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ibb Ingenieurgesellschaft mbH GmbH · HRB 2751 Darmstadt · 1980
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IBG Ingenieur Beratungsgesellschaft für technisches Gebäudemanagement UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 102737 Darmstadt · 2012
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Ingenieur & Sachverständigen Büro Frank GmbH GmbH · HRB 107571 Darmstadt · 2025
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Ingenieurbüro Heilmann GmbH GmbH · HRB 99467 Darmstadt · 2019
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Ingenieurbüro Heß GmbH GmbH · HRB 95433 Darmstadt · 2016
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IPQ Privatinstitut für Prüfung und Qualitätssicherung GmbH GmbH · HRB 9682 Darmstadt · 2005
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ISG GmbH GmbH · HRB 6579 Darmstadt · 1997
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J & F Engineering GmbH GmbH · HRB 105092 Darmstadt · 2016
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Kleinhofen + Schulenberg Ingenieurgesellschaft mbH GmbH · HRB 98671 Darmstadt · 2019
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Leasotec GmbH GmbH · HRB 6220 Darmstadt · 1995
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LF Sachverständigenbüro TGA UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 105372 Darmstadt · 2023
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m-tec- Mueller Technology, Engineering and Consulting GmbH GmbH · HRB 100070 Darmstadt · 2020
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Max15 UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 93871 Darmstadt · 2015
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All industries in Darmstadt

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

&filters={"city":"Darmstadt","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": "Darmstadt",
        "industry_code": "71.12.3",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=20,
)
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": "Darmstadt",
      "industry_code": "71.12.3",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 20,
});
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": "Darmstadt",
        "industry_code": "71.12.3",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 20,
  });
  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&skip=20' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Darmstadt","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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