Corvinus
Corvinus

Intanify AI Platform: Embedded AI for Automated IP Audit and Due Diligence

Dörfler, Viktor ORCID: https://orcid.org/0000-0001-8314-4162, Dylan, Dryden and Viet, Lee (2025) Intanify AI Platform: Embedded AI for Automated IP Audit and Due Diligence. In: 39th AAAI Conference on Artificial Intelligence, 2025.02.25-2025.03.04, Philadelphia.

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Official URL: https://drive.google.com/file/d/1P2oWASX0hkYFHCATIjiWhX9UXfWOBYDQ/view


Abstract

In this paper we introduce a Platform created in order to support SMEs' endeavor to extract value from their intangible assets effectively. To implement the Platform, we developed five knowledge bases using a knowledge-based ex-pert system shell that contain knowledge from intangible as-set consultants, patent attorneys and due diligence lawyers. In order to operationalize the knowledge bases, we developed a "Rosetta Stone", an interpreter unit for the knowledge bases outside the shell and embedded in the plat-form. Building on the initial knowledge bases we have created a system of red flags, risk scoring, and valuation with the involvement of the same experts; these additional systems work upon the initial knowledge bases and therefore they can be regarded as meta-knowledge-representations that take the form of second-order knowledge graphs. All this clever technology is dressed up in an easy-to-handle graphical user interface that we will showcase at the conference. The initial platform was finished mid-2024; therefore, it qualifies as an "emerging application of AI" and "deployable AI", while development continues. The two firms that provided experts for developing the knowledge bases obtained a white-label version of the product (i.e. it runs under their own brand "powered by Intanify"), and there are two completed cases.

Item Type:Conference or Workshop Item (Paper)
Series Name:Proceedings of the AAAI Conference on Artificial Intelligence
Series Number / Identification Number:MTMT:36058343
Divisions:Corvinus Institute for Advanced Studies (CIAS)
Institute of Strategy and Management
Subjects:Automatizálás, gépesítés
Computer science
Funders:INNOVATE UK
Projects:No. 10052286
ID Code:13132
Deposited By: MTMT SWORD
Deposited On:24 Aug 2026 11:48
Last Modified:24 Aug 2026 11:48

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