Engineering activities for technical building equipment companies in Weimar

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

21 companies · 1–20 of 21

AWA Thüringen GmbH GmbH · HRB 519027 Jena · 2021
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b.i.g. bechtold INGENIEURGESELLSCHAFT MBH GmbH · HRB 103390 Jena · 2006
094864989e…
E+P Ingenieure GmbH & Co. KG GmbH & Co. KG · HRA 505531 Jena · 2020
6bc5641694…
eosol UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 512159 Jena · 2016
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FOLAB GmbH GmbH · HRB 520404 Jena · 2023
35ea216118…
Glatt Ingenieurtechnik Gesellschaft mit beschränkter Haftung GmbH · HRB 102013 Jena · 1991
592afa7325…
I.P.H Klawonn GmbH GmbH · HRB 511835 Jena · 2015
fad380af74…
IBU-tec advanced materials AG AG · HRB 503021 Jena · 2008
eac7bbd91c…
IGS Ingenieure GmbH & Co. KG GmbH & Co. KG · HRA 101896 Jena · 1998
021e445c88…
Ingenieurgesellschaft Peuker & Nebel mbH GmbH · HRB 111112 Jena · 2006
7d5b857c71…
IPH Selzer Ingenieure GmbH GmbH · HRB 507020 Jena · 2011
9c4bca8b07…
ITA Ingenieurgesellschaft für Technische Akustik Weimar mbH GmbH · HRB 111077 Jena · 1999
83c266b67c…
KoCoS Optical Measurement GmbH GmbH · HRB 507736 Jena · 2007
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Planungsgruppe Fölsche GmbH GmbH · HRB 515279 Jena · 2019
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Schröder Plan GmbH GmbH · HRB 521982 Jena · 2023
c0592f9621…
SGB - Sachverständigen Gesellschaft technischer Brandschutz mbH GmbH · HRB 507650 Jena · 2012
7ddefc78d0…
SIMEBU Thüringen GmbH Ingenieurgesellschaft für Arbeitssicherheit, Arbeitsmedizin, Brandschutz und Umweltberatung GmbH · HRB 108420 Jena · 1995
3c2cbeaadc…
Steinigeweg Planungsgesellschaft mbH & Co. KG Weimar GmbH & Co. KG · HRA 500181 Jena · 2006
17a745948b…
Tractebel GmbH GmbH · HRB 100221 Jena · 1990
d9d0730888…
WPB Planungsgesellschaft mbH & Co KG GmbH & Co. KG · HRA 503991 Jena · 2016
6a15dd841c…

All industries in Weimar

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

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