Decentralized Web3 AI firm Theoriq joins Google startup accelerator

The partnership looks to scale Theoriq’s platform for artificial intelligence agents.

Decentralized Web3 AI firm Theoriq joins Google startup accelerator

Decentralized artificial intelligence and Web3 firm Theoriq announced its acceptance to Google’s Cloud Startup Program on Aug. 19. The company will be joining the accelerator on a long-term basis to develop its proprietary AI agent platform. 

Theoriq’s primary product, its AI Agent Base Layer, is a decentralized, blockchain-based platform for developing and managing AI agent collectives. Essentially, it allows developers to deploy AI agents — models specifically designed to complete directed tasks — throughout their Web3 stack.

Google accelerator

The big idea behind the Google Startup Cloud accelerator program is to help companies such as Theoriq scale. Through its participation, Theoriq will receive access to Google Cloud services with up to $350,000 in usage credits. 

It will also receive the typical accelerator benefits, including access to industry professionals, dedicated mentorship and networking opportunities.

Theoriq’s agents

Theoriq says it’s ramping up to a testnet phase as it joins the program. According to a roadmap on its website, it expects to launch the mainnet for its services in “late 2024.”

It’s unclear at this time if participation in the Google startup accelerator will alter the company’s timelines, but the new partnership could result in a reconfiguration of resources.

Ultimately, however, the company’s success will depend on the robustness of its protocol. According to its “lite paper,” the goal of the project is to develop what’s essentially a marketplace and ecosystem for AI agents.

Developers will be able to create agents, and the Theoriq protocol will allow them to platform, evaluate, optimize and deploy those agents to end-users already connected to the marketplace and ecosystem.

Related: Swiss tech firm launches AI made of human brain cells rental service

Related Articles

Responses