TheGridNet
The İstanbul Grid İstanbul

Cerebrum Tech Raises $1.8M in Funding

Cerebrum Tech, an Istanbul, Turkey-based technology company working in the field of Artificial Intelligence, the Internet of Things, finance, e-commerce, and Web3, raised $1.8M in funding, at a $15M valuation Cerebrum Tech, an Istanbul-based technology company working in the field of Artificial Intelligence, the Internet of Things, finance, e-commerce, and Web3, raised $1.8M in funding at a $15M valuation. The company intends to use the funds to further growth and innovation in the fields of generative artificial intelligence. In March, Cerebrum unveiled Cere, an artificial intelligence application, which leverages 3D avatars, offering a dynamic and immersive experience. Following this launch, the studio introduced Cere Insight which allows users to efficiently summarize extensive documents with multi-file support.

Cerebrum Tech Raises $1.8M in Funding

Veröffentlicht : vor 2 Jahren durch FinSMEs in Tech

Cerebrum Tech, an Istanbul, Turkey-based technology company working in the field of Artificial Intelligence, the Internet of Things, finance, e-commerce, and Web3, raised $1.8M in funding, at a $15M valuation.

The round was led by Boğaziçi Ventures, with participation from Inveo Ventures Coinvestment Venture Capital Investment Fund.

The company intends to use the funds to further growth and innovation in the field of generative artificial intelligence.

Founded by Dr. Erdem Erkul, Cerebrum Tech is a venture studio focused on driving digital transformation, developing innovative, globally recognized applications in artificial intelligence, Web3, data security, consultancy, as well as smart cities and sustainability.

In March, Cerebrum Tech unveiled Cere, an artificial intelligence application. Available in both personal and corporate versions, Cere leverages 3D avatars, offering a dynamic and immersive experience. Following this launch, in September, the studio introduced Cere Insight, which allows users to efficiently summarize extensive documents with multi-file support, and extract valuable insights from large datasets.

Read at original source