Company data for economic development agencies and municipalities
How many companies are based in your area, which industries shape it, who has recently arrived? Implisense prepares the commercial register data of around 2.3 million active companies by location, industry and size. You work with it in the platform, with your own Excel list or through the API.
What you can do with it
- 1
Analyse stock and structure
Filter companies by postcode, town or radius, plus industry (WZ code) and size class. The number of hits is shown right above the list, even on the free plan. You can combine several postcodes to assemble your area.
- 2
Survey commercial areas
For several hundred commercial areas, business parks, ports and technology parks there are freely accessible location pages: how many companies at how many addresses, size classes, legal forms and the most common industries.
Example (in German): Aicherpark/West commercial area, Rosenheim
- 3
Track new companies and relocations
A saved search across your postcodes reports once a week new companies and companies that have moved their seat into your area, including the place they come from.
- 4
Keep your contact list and CRM up to date
Upload your list of supported companies as an Excel file. The platform matches it to the companies in the register and shows which industries and sizes you reach. For your own scoring or regular updates in your CRM, the API delivers the same data.
Who already works with Implisense
- IHK Berlin industry check (Branchencheck), since August 2026
- IHK Köln automatic industry classification (classifier), since April 2026
For larger analyses such as a portfolio or location analysis, we can also take on the work as a service. Portfolio analysis
The honest limit
The commercial register lists merchants and companies, not every business. Most small traders are therefore missing, and for each company the registered seat is recorded, not every place of business. There is no filter for the district (Landkreis): you define your area through postcodes, towns or a radius, and postcode areas do not always match district boundaries. For official structural statistics, regional statistics are the right source; how to combine both is explained in our guide (in German).
Guide (in German): Analysing the business stock in a district
Frequently asked questions
What data does Implisense provide?
Around 2.3 million active companies from the commercial, partnership and cooperative registers: master data and address, industry (WZ code), size class, management and contacts, financial figures from balance sheets, revenue and headcount where published, and events from the commercial register and news. Whether financial data exists for a company can be checked in advance for free through the API.
How can we try Implisense?
With a free account, no contract and no payment details. It includes 100 Implicents of starting credit and an API key with 20 requests per minute. You test directly with the real data.
Which plan fits us?
There is no separate plan for the API: one account covers the platform, API and MCP, and usage is billed in Implicents from the same balance. For the concept phase the free plan is usually enough. For ongoing operation you buy Implicent packs that do not expire, or book Plus with 200 Implicents per month, 10 API keys and the Excel export. Prices are on the pricing page.
How many Implicents do we need for 500 companies?
According to the API cost table: matching your list costs 1 Implicent per 10 companies in batch, so 50. Basic profiles cost 1 Implicent each, so 500. With financial figures it is 5 per company, so 2,500. A quarterly update through the changes query costs 1 Implicent per company, so 2,000 a year for 500 companies. In the platform, search, filters, lists and Excel upload cost no Implicents.
May we store and process the data?
Yes, for your own use. Under our terms (GTC, section 5) you may store the retrieved data in your systems as far as needed for your own use, for the traceability of your results and for your retention obligations. Your own metrics, scores and analyses belong to you. A separate agreement is required to pass the data on as such to third parties, to build a dataset that substantially replicates our database, and to train AI models on substantial parts of it.