Research and experimental development on biotechnology companies in Bremen

Bremen ·Currently listed companies in the Research and experimental development on biotechnology industry headquartered in Bremen.

60 companies · 21–40 of 60

GASEX Technology GmbH GmbH · HRB 19190 Bremen · 2005
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GermanTech - German Institute of Technology UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 32490 Bremen · 2017
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GTEM Gesellschaft für Therapieforschung und Experimentelle Medizin GmbH & Co. KG GmbH & Co. KG · HRA 25954 Bremen · 2011
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HAIZHIBAO Deutschland GmbH GmbH · HRB 41003 Bremen · 2012
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IMARE - Institut für Marine Ressourcen GmbH GmbH · HRB 5338 Bremen · 2009
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Impetus GmbH & Co. Bioscience KG GmbH & Co. KG · HRA 4279 Bremen · 2005
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Institut für angewandte Systemtechnik Bremen GmbH GmbH · HRB 13969 Bremen · 2005
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Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH GmbH · HRB 19582 Bremen · 2005
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Institute NaturScience GmbH GmbH · HRB 32349 Bremen · 1986
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Intertek Food Services GmbH GmbH · HRB 28046 Bremen · 1997
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ISMI Innovation Sustainability Management Insitute UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 37788 Bremen · 2022
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Jungbrunnen GmbH GmbH · HRB 38654 Bremen · 2021
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KaiserSpace GmbH GmbH · HRB 39195 Bremen · 2023
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Leibniz-Zentrum für Marine Tropenforschung (ZMT) GmbH GmbH · HRB 25746 Bremen · 2009
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Lipocyte BioMed GmbH GmbH · HRB 29783 Bremen · 2014
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M2C - Institut für angewandte Medienforschung GmbH GmbH · HRB 24697 Bremen · 2008
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MAMBA DIAGNOSTIK GmbH GmbH · HRB 40861 Bremen · 2024
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MIGMATITE GmbH GmbH · HRB 35585 Bremen · 2020
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Molzym GmbH & Co. KG GmbH & Co. KG · HRA 23146 Bremen · 2005
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Nature One GmbH GmbH · HRB 42162 Bremen · 2025
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All industries in Bremen

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

&filters={"city":"Bremen","industry_code":"72.10.1","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": "Bremen",
        "industry_code": "72.10.1",
        "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": "Bremen",
      "industry_code": "72.10.1",
      "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": "Bremen",
        "industry_code": "72.10.1",
        "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":"Bremen","industry_code":"72.10.1","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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