Research and experimental development on biotechnology companies in Berlin

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

755 companies · 21–40 of 755

AGCT GmbH GmbH · HRB 5384 Lübeck · 2005
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AGENON Gesellschaft für Forschung und Entwicklung im Gesundheitswesen mbH GmbH · HRB 99911 Charlottenburg (Berlin) (Berlin) · 2006
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AIO-Studien-gGmbH gGmbH · HRB 109856 Charlottenburg (Berlin) (Berlin) · 2007
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AION BIO GmbH GmbH · HRB 281531 Charlottenburg (Berlin) (Berlin) · 2025
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AIR BAMBOO INDUSTRIAL GmbH GmbH · HRB 15485 Frankfurt/Oder (Frankfurt (Oder)) · 2015
fa098ec815…
AIR Umwelt GmbH AACHENER INSTITUT FÜR RISIKOANALYSE UND -BEWERTUNG MEDIZIN. UMWELT. TECHNIK GmbH · HRB 246284 Charlottenburg (Berlin) (Berlin) · 2005
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AISEQ GmbH GmbH · HRB 244769 Charlottenburg (Berlin) (Berlin) · 2022
047cdab96e…
AKAPU GmbH GmbH · HRB 111254 Charlottenburg (Berlin) (Berlin) · 2008
03adc01e76…
AKEES Data Intelligence GmbH GmbH · HRB 193639 Charlottenburg (Berlin) (Berlin) · 2018
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ALAB-Analyse Labor in Berlin GmbH GmbH · HRB 29006 Charlottenburg (Berlin) (Berlin) · 2004
06692cc461…
Alacris Theranostics GmbH GmbH · HRB 114897 Charlottenburg (Berlin) (Berlin) · 2008
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ALBEGA Medical GmbH GmbH · HRB 213152 Charlottenburg (Berlin) (Berlin) · 2019
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Alganize GmbH GmbH · HRB 253847 Charlottenburg (Berlin) (Berlin) · 2023
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algatec GmbH GmbH · HRB 262747 Charlottenburg (Berlin) (Berlin) · 2024
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AlphaDiscovery GmbH GmbH · HRB 187636 Charlottenburg (Berlin) (Berlin) · 2017
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Alphaptose GmbH GmbH · HRB 96967 Hamburg · 2006
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ALRISE Biosystems GmbH GmbH · HRB 92101 Charlottenburg (Berlin) (Berlin) · 2004
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Alternate Photonics GmbH GmbH · HRB 111844 Charlottenburg (Berlin) (Berlin) · 2008
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Alvea Germany GmbH GmbH · HRB 241258 Charlottenburg (Berlin) (Berlin) · 2022
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Amazon Development Center Germany GmbH GmbH · HRB 149173 Charlottenburg (Berlin) (Berlin) · 2013
bece0dabe5…

All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=20

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