Intanify AI platform : embedded AI for automated IP audit and due diligence

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Dörfler, Viktor and Dryden, Dylan and Lee, Viet (2024) Intanify AI platform : embedded AI for automated IP audit and due diligence. In: The 39th Annual AAAI Conference on Artificial Intelligence, 2025-02-25 - 2025-03-04. (In Press)

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Abstract

In this paper we introduce a Platform created in order to support SMEs’ endeavor to extract value from their intangi-ble assets effectively. To implement the Platform, we de-veloped 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 devel-oped 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 cre-ated a system of red flags, risk scoring, and valuation with the involvement of the same experts; these additional sys-tems 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 confer-ence. The initial platform was finished mid-2024; therefore, it qualifies as an “emerging application of AI” and “deploy-able AI”, while development continues. The two firms that provided experts for developing the knowledge bases ob-tained a white-label version of the product (i.e. it runs under their own brand “powered by Intanify”), and there are two completed cases.

ORCID iDs

Dörfler, Viktor ORCID logoORCID: https://orcid.org/0000-0001-8314-4162, Dryden, Dylan and Lee, Viet;
CORE (COnnecting REpositories)