Engineering activities for technical building equipment companies in Gera

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

13 companies

DCM Architektur + Ingenieurgesellschaft mbH GmbH · HRB 503791 Jena · 2009
7abb3142f3…
Dr. Siebert Ingenieurgesellschaft mbH GmbH · HRB 516487 Jena · 2020
328727bcc5…
EWW Ingenieurbüro für Haustechnik GmbH GmbH · HRB 206770 Jena · 1997
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IBA Gebäudetechnik Gera GmbH GmbH · HRB 514548 Jena · 2018
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Ingenieurbüro Dr. Siebert GmbH Heizung - Lüftung - Klima - Sanitär - Schwimmbadtechnik Tiefbauplanung - Planung von Leitungsanlagen GmbH · HRB 201800 Jena · 1992
6a378c6932…
Ingenieurbüro I-Z GmbH GmbH · HRB 503954 Jena · 2009
c12356cf66…
objectdesign bauplan GmbH GmbH · HRB 514640 Jena · 2018
063672dd85…
PECAS services GmbH GmbH · HRB 500424 Jena · 2006
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PEGA Planungsbüro elektro- und gebäudetechnische Anlagen GmbH GmbH · HRB 203153 Jena · 1993
c022ebb5aa…
Reichenbächer Sicherheitstechnik GmbH GmbH · HRB 207678 Jena · 1999
802f97174f…
Sicherheitstechnik Liebing & Beese GmbH GmbH · HRB 207410 Jena · 1999
1fd01bcd6e…
SWP Süssemilch Waidhas Planungsgesellschaft mbH GmbH · HRB 516299 Jena · 2019
5e20a2945a…
SynCon Engineering GmbH GmbH · HRB 522890 Jena · 2025
1624a53903…

All industries in Gera

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Gera","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": "Gera",
        "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": "Gera",
      "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": "Gera",
        "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":"Gera","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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