Skip to content

AI-focused dating platform Talus Network secures $6 million in strategic funding for the development of its AI-driven dating service.

Venture capital firm Polychain Capital spearheaded the investment round, with contributions from Foresight Ventures, Animoca Brands, Geek Cartel, Echo, and various angel investors.

AI-driven dating platform, Talus Network, raises $6M in strategic funding round to develop an...
AI-driven dating platform, Talus Network, raises $6M in strategic funding round to develop an intelligent matching service

AI-focused dating platform Talus Network secures $6 million in strategic funding for the development of its AI-driven dating service.

Talus Network, an AI training infrastructure designed specifically for smart contracts and decentralized applications (dApps), has announced a strategic funding round of $6 million. The investment, led by Polychain Capital, will accelerate the development and deployment of Talus Network's AI infrastructure.

The funding round values Talus Network at $150 million, as per the company's announcement. This is the second round of funding for Talus Network, following a seed round announced in February, bringing the total raised to date to $9 million. Notable angel investors from Polygon, Sentient, Allora, Foresight Ventures, Animoca Brands, Geek Cartel, and Echo also participated.

The announcement was made on Tuesday. Olaf Carlson-Wee, founder of Polychain Capital, stated that AI agents are beginning to participate directly in markets as active economic entities, and Talus is leading in building a new economy where AI-driven agents are integral to the digital landscape.

The funds will be used to further develop the Talus ecosystem, including the blockchain infrastructure Protochain and the Nexus framework. Talus Network's main purpose is to provide scalable, robust AI training capabilities tailored for blockchain environments, enabling enhanced automation and intelligence in decentralized systems.

With the new funding, Talus Network aims to position itself as a foundational infrastructure layer for AI-driven blockchain applications, promoting innovation in decentralized finance (DeFi), gaming, and other sectors that rely on smart contracts. While specific technical roadmaps have not been detailed, the focus will likely include enhancing AI model training and inference capabilities directly compatible with blockchain protocols, improving interoperability with major blockchain networks and developer tools, scaling infrastructure to meet the demands of growing decentralized application ecosystems, and fostering partnerships with key stakeholders in the blockchain and AI sectors to accelerate adoption and innovation.

Talus Network enables AI agents to be converted into on-chain assets, allowing developers, trainers, and users to participate in the economic model of the agents at the intersection of artificial intelligence and blockchain technology. The company offers AI training infrastructure for a variety of applications, including portfolio optimization, MEV protection in DeFi, grant allocation for DAOs, treasury management, NPC management and automated testing in gaming, among others.

This strategic funding demonstrates strong investor confidence in Talus Network’s mission to combine AI advancements with decentralized technology for smarter, more autonomous applications. The funding round marks an exciting step forward for Talus Network as it continues to shape the future of AI-powered blockchain applications.

The strategic funding round of $6 million positions Talus Network to become a foundational infrastructure layer for AI-driven blockchain applications, with a focus on enhancing AI model training and inference capabilities directly compatible with blockchain protocols. This investment, led by Polychain Capital, also intends to foster partnerships with key stakeholders in the blockchain and AI sectors to accelerate adoption and innovation in the fields of decentralized finance (DeFi), gaming, and other sectors that rely on smart contracts.

The funds will also be used to scale infrastructure to meet the demands of growing decentralized application ecosystems, improve interoperability with major blockchain networks and developer tools, and convert AI agents into on-chain assets, enabling developers, trainers, and users to participate in the economic model of the agents at the intersection of artificial intelligence and blockchain technology.

Read also:

    Latest