Spectral Price

Most machine learning (ML) models deployed in production for critical use cases today are built by a handful of large, centralized players with proprietary model training techniques. They’re black boxes. Applying them in a smart contract means relying on a single source of truth and creating a single point of failure.

On the other hand, with the frontiers of innovative AI technology expanding on a daily basis, particularly generative AI, it seems inevitable that AI Agents -- automated code performing tasks on our behalf -- will soon be a mass adopted reality. Many AI innovators, like OpenAI, have already signaled the creation of Agent Marketplaces. Specifically in Web3, AI Agents have massive potential to improve the speed and experience of onchain operations. However, the above mentioned problem of black box models becomes increasingly critical in this context. The decentralized ethos of Web3 clashes with the idea of centralized, opaque marketplaces for the creation and operation of on-chain Agents. Looking ahead to a future where on-chain AI Agents interact autonomously, such closed ecosystems could obscure the origins and efficacy of information shared between Agents, fostering a degree of centralization at odds with the foundational principles of Web3 and potentially leading to unforeseen consequences.

Spectral is solving this problem by bridging the gap between AI, ML and Blockchain, through its products that allow the users to create onchain Agents that operate on transparent, open source knowledge bases and inferences, through a common provenance layer known as the Inferchain.