Mira addresses a core challenge in AI: trust. AI models often produce confident but incorrect or biased outputs—a problem known as hallucination. This necessitates costly and slow human oversight, especially in high-stakes fields like finance, healthcare, and education. Mira’s solution is to build a decentralized verification layer. It breaks down any AI-generated answer into individual factual claims. These claims are then evaluated by a distributed network of independent AI models. A consensus among these models validates the claim, creating a cryptographic proof of its accuracy. This process aims to replace the need for blind trust with provable, auditable truth.
2. Technology & Ecosystem
Mira is built on Base, an Ethereum layer-2 blockchain. Its technology is designed for developer adoption, featuring an OpenAI-compatible API for easy integration. The network employs intelligent routing to send queries to the most efficient and cost-effective model or data pipeline. Real-world applications demonstrate its use: Klok, a multi-model chat app, uses Mira to simplify access to various AI models for millions of users. Learnrite, an EdTech platform, leveraged Mira’s verification to increase the accuracy of AI-generated educational questions from ~75% to 96% (Developers Are Building the Future on Mira).