AI firm G42 invests in tokenization data platform Inveniam – Ledger Insights – blockchain for enterprise
In a future where private assets are tokenized, there will be a need for real time pricing. Valuations for real estate, private equity, private credit and infrastructure have historically been manual and lacking standards. Since 2017 Inveniam has aimed to address the data gap by developing solutions and partnering with various data providers, including one of its largest backers, real estate firm Cushman & Wakefield. Now UAE AI firm G42 has invested an undisclosed amount in Inveniam bringing cumulative funds raised to $120 million.
G42 is a substantial company with 25,000 employees spread across seven AI subsidiaries, ranging from the energy sector to health and data centers.
Inveniam formally announced a $25 million Series A round in 2021 led by fund administrator Apex. Now it says Cushman & Wakefield led its previous funding.
“Private markets – the realm of real estate, private equity, private credit and infrastructure investments – represent the world’s largest asset class, worth hundreds of trillions of dollars. Yet despite their massive size, these markets operate much like they did decades ago, with scattered data, manual processes, and long transaction times,” Inveniam CEO Patrick O’Meara wrote in an email announcement. “As we built our solution, we realized that it would not be a single new technology that transforms this market. It is the convergence of AI, DLT, and DeFi.”
DLT and AI for private asset valuations
Inveniam’s system uses DLT to provide the provenance of data used for pricing calculations, with much of these computations likely to come via AI. Access to data is permissioned. It also uses privacy technologies that enable institutions to share data without exposing the sensitive data. We assume this is federated learning. Inveniam uses technology from tokenization startup Tokeny.
Mr O’Meara continued, “Together, we’re building something that hasn’t existed before: a system that allows private market assets to be shared, analyzed, priced and traded while ensuring that sensitive source business data remains protected and controlled by its owners.”