Who are the founders of Chutes AI?

Founders and Organizational Model 

Chutes AI was founded by a global, decentralized collective of engineers, researchers, and builders working under the umbrella of Chutes Global Corp. There is no CEO or central decision maker; responsibilities are shared across contributors through a collective governance process. Core contributors include Cxmplex (backend), Bonoliver (frontend), Florian S (backend), Kyle (backend), Jon Durbin (backend), Sirouk (backend), Veight (marketing & sales), Algowary (sales & customer success, customer support), Fezicles (customer support, community), Rykorb (customer support, member of technical staff), and Varbon (customer support). The organization is actively hiring via its careers page.

What Chutes Is 

Chutes provides high‑performance AI inference for top open‑source, state‑of‑the‑art models, supporting ephemeral and batch jobs via a single API. Its mission is to bring open‑source AI to scale by building the infrastructure layer that lets developers deploy any model and scale any workload across a decentralized network.

• Founded: 2024, for the open‑source AI era.
• Developed: Chutes Global Corp
• Models Available: 150+, ready to deploy.
• Throughput: 1T+ requests per month (tokens processed).
• Availability: 24/7 global network.

Technology Foundation 

Chutes harnesses the Bittensor ecosystem—a decentralized network of specialized AI systems—to deliver aggregate performance and diversity of capabilities that are difficult to match with traditional centralized approaches. By building on this foundation, Chutes gives developers access to cutting‑edge AI capacity as if the world’s best researchers were collaborating on their projects around the clock.

Role in the Open‑Source AI Revolution 

Every day, thousands of developers rely on Chutes to deploy and scale production AI applications. With Chutes, you bring the code and the models; the network handles deployment, scaling, and reliability—powering the open‑source AI revolution with open infrastructure designed for real‑world workloads.