Technology

AI inventory-management applications in Berlin

A Berlin technology business developing AI applications for inventory management. Software, data quality and integration with customer processes are central to its model.

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Records. Responsibilities. Dependencies.01 / 03
Assessing the business model
Assessing the business modelSeparate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs.COMPARISON / EVIDENCE LINKSSoftware subscriptions — Separate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs.01 / 01Software subscriptionsProjects & support — Separate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs.01 / 02Projects & supportRetention & usage — Separate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs.01 / 03Retention & usageProject commitments — Separate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs.01 / 04Project commitmentsdistinguishactivityrequest evidencerequest evidence

Separate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs.

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Country
Germany
Region
Berlin
Legal form
GmbH (limited liability company)
Founded
2012
Reported status
Active
Interest described
Majority interest
Reported employees
28
Locations
2
Reported annual revenue¹
€5,500,000
Price information
On request

Assessing the business model

Separate product revenue, implementation and bespoke development in an AI software business. Review retention, usage, data dependencies and external model or infrastructure costs. The technical label alone establishes neither customer value nor the repeatability of the business model; both need evidence from actual deployments.

Questions for a handover

An acquisition review would need to cover source code, licences, data agreements and technical dependencies. Retaining the development team and understanding the product roadmap also matter. Record customer projects with promised functionality and support commitments to distinguish existing capability from development that still needs funding.

Records for the next stage

The profile reflects the information currently on file. Current figures and supporting records need to be checked during the enquiry and review. ¹ The revenue entry refers to three years without an annual breakdown. ² Balance-sheet and account figures do not specify a reference date.

Figures, ownership and legal circumstances require a separate due diligence process.

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