@Mira - Trust Layer of AI
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Mira Network started out chasing a big question: how do we stop AI from being a black box? Back in the early 2020s, AI was everywhere, but almost nobody knew what was going on inside. The systems were centralized, closed off, and hard to trust. Karan Sirdesai and Sidhartha Doddipalli saw the problem right away. To really let AI become part of the global economy, people needed a way to trust its output—a system that could actually check if an AI’s answers were accurate, unbiased, and not just hallucinating. They called it a “truth engine.”
In 2024, after working in stealth, Mira came out with a clear goal: build decentralized infrastructure for AI verification. While most crypto projects were obsessed with raw GPU power, Mira’s team took a different approach—they focused on evaluation. It’s easy and cheap to generate content with AI. The hard part is making sure it’s right, or even safe, and that’s where costs shoot up and scaling gets tricky.
When Mira went for seed funding, the project took off. They pulled in $9 million, led by heavy hitters like BITKRAFT Ventures and Framework Ventures, with Delphi Digital joining in. That money let them shift from just ideas and whitepapers to building the actual protocol, starting on Base, Coinbase’s Layer 2 blockchain.
The technical core of Mira’s early days was something they called "Claim-based Validation." Here’s how it worked: instead of treating an AI response as one big chunk, they broke it down into small claims. If, say, an AI summarized financial data, Mira would split that up and send different pieces to a network of independent nodes. Early testers got rewards for running nodes that focused on specific topics—math, coding, history, you name it. The real innovation was in the consensus system. Multiple nodes checked each claim, and if most of them agreed, the claim got “signed” and locked onto the blockchain as verified truth.
But Mira didn’t just stick to its own ecosystem. Right from the start, the team pushed for integration. They built an SDK so other decentralized apps could tap into Mira whenever they needed to verify any AI-generated result. This focus on interoperability meant Mira was never just another isolated project—it became a core piece of the broader Web3-AI world.
By the time Mira was ready for public testnets, it already had a reputation as the “verifiable brain” of the decentralized web. The stage was set: MIRA token was coming, and governance would shift to the community, transforming Mira into a true DAO.