Development and programming of artificial intelligence companies in Berlin

Berlin ·Currently listed companies in the Development and programming of artificial intelligence industry headquartered in Berlin.

104 companies · 81–100 of 104

PronobisML UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 263401 Charlottenburg (Berlin) (Berlin) · 2024
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Protect AI Germany GmbH GmbH · HRB 269437 Charlottenburg (Berlin) (Berlin) · 2024
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Qidenus Group GmbH GmbH · HRB 171236 Charlottenburg (Berlin) (Berlin) · 2015
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RAIN - Rapid Innovation GmbH GmbH · HRB 199911 Charlottenburg (Berlin) (Berlin) · 2018
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Referenta GmbH GmbH · HRB 259475 Charlottenburg (Berlin) (Berlin) · 2024
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Regnify GmbH GmbH · HRB 282807 Charlottenburg (Berlin) (Berlin) · 2026
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Scenarium AI GmbH GmbH · HRB 249739 Charlottenburg (Berlin) (Berlin) · 2023
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Seer Real -AI- UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 272742 Charlottenburg (Berlin) (Berlin) · 2025
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Smartcontraxx GmbH GmbH · HRB 269954 Charlottenburg (Berlin) (Berlin) · 2024
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SSP GmbH - Smarte Services & Projekte GmbH · HRB 20636 Stralsund · 2017
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StemNLP GmbH GmbH · HRB 252680 Charlottenburg (Berlin) (Berlin) · 2023
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Telesense Innovation Lab GmbH GmbH · HRB 269553 Charlottenburg (Berlin) (Berlin) · 2024
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ThinkDeeper AI UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 269734 Charlottenburg (Berlin) (Berlin) · 2024
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TMT Labs GmbH GmbH · HRB 275230 Charlottenburg (Berlin) (Berlin) · 2025
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TOGNOS Deep Machine Learning GmbH GmbH · HRB 175911 Charlottenburg (Berlin) (Berlin) · 2016
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Triple AI GmbH GmbH · HRB 253617 Charlottenburg (Berlin) (Berlin) · 2023
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Verlin UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 267838 Charlottenburg (Berlin) (Berlin) · 2024
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VION AI GmbH GmbH · HRB 251517 Charlottenburg (Berlin) (Berlin) · 2023
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Volto GmbH GmbH · HRB 268455 Charlottenburg (Berlin) (Berlin) · 2024
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Wavess UG (haftungsbeschränkt) UG (haftungsbeschränkt) · HRB 269858 Charlottenburg (Berlin) (Berlin) · 2024
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All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&skip=80

&filters={"city":"Berlin","industry_code":"62.10.4","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": "62.10.4",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=80,
)
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": "62.10.4",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 80,
});
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": "62.10.4",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 80,
  });
  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=80' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Berlin","industry_code":"62.10.4","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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