Deals Digest: Tishman Speyer secures $300m for Korea Living Venture; DataMasque raises $4m

Deals Digest: Tishman Speyer secures $300m for Korea Living Venture; DataMasque raises $4m

FILE PHOTO: The skyline of central Seoul is seen during sunrise in Seoul September 2, 2013. REUTERS/Lee Jae-Won/File Photo

Tishman Speyer said it has secured $300 million in the first close of its Korea Living Venture, while New Zealand’s DataMasque raised $4 million in fresh funding.

Tishman Speyer raises $300m first close for Korea housing fund

Tishman Speyer has secured $300 million in third-party equity commitments for the first close of its Korea Living Venture, a real estate fund targeting rental housing assets in and around Seoul.

The New York-based real estate investment manager said the commitments came from Dutch pension investors APG Asset Management and Bouwinvest.

The vehicle is targeting about $400 million in equity commitments, which would give it more than $800 million in investment capacity including debt financing, per the announcement.

The fund will acquire, reposition and develop multifamily and accommodation properties across Seoul and nearby areas, including Icheon and Gyeonggi-do. It will focus on assets near transport hubs, business districts and university campuses.

Tishman Speyer said the vehicle will mainly target existing living assets with scope for value enhancement, while selectively investing in development projects.

Wavemaker Ventures anchors DataMasque’s $4m funding

New Zealand-based data privacy software startup DataMasque has announced raising $4 million in its latest funding round anchored by Wavemaker Ventures.

Existing investors OIF Ventures and Icehouse Ventures also participated in the round.

The funding comes as companies across banking, insurance, telecommunications and government sectors face growing pressure to deploy AI tools while complying with increasingly stringent data governance requirements.

Founded in Auckland, DataMasque develops software that masks and de-identifies sensitive data, allowing organisations to use customer information for AI training, testing and analytics without exposing personally identifiable information.

Chief Executive Grant de Leeuw said many enterprise AI projects are being delayed because companies are unable to safely access and process sensitive datasets needed to train or evaluate AI models.

Its customers include New York Life, ADP, Best Western Hotels & Resorts, One NZ, TAL and several government agencies in New Zealand, Australia and the United States.

Edited by: Padma Priya

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