Mira is building the foundational infrastructure needed for trustless, verified intelligence at scale. Mira’s platform verifies AI model outputs and actions at every step using an ensemble of LLMs that must reach consensus before passing the end result to the user. They have already achieved 97–98% accuracy rate for dozens of clients — scaling to 400,000+ users, processing over 200,000 AI inferences every single day in a few short months.

This is how Mira verifies the authenticity of AI outputs: first, Mira leverages binarization to convert the content into binary yes/no claims for verification. Next, it’s checked by a network of independent validator nodes, and if found valid (by consensus), it’s finalized as an output and recorded on the blockchain.

But as Mira’s user base grew and models became more complex, they faced an obstacle many AI projects hit: how to scale resources without compromising reliability?

Defeating the Hug of Death

As Mira scaled its users rapidly, they faced compute constraints with their existing data centers and network of nodes. At the same time, Mira saw an explosion in use cases — from biotech analytics and gaming predictions to DeFi-focused trading agents — each one needing reliable infrastructure and Mira’s differentiated evaluation to generate accurate AI outputs.

Scaling reliably on traditional cloud infrastructures was complex and costly and getting the hardware and performance just right was key for their team to keep users engaged and confident.

Mira was looking to maintain reliability as an industry leader in AI verification, while continuing to expand and serve a growing number of use cases. The question was: How could Mira simultaneously address reliability, scale, and community engagement?

Decentralized Compute Scales

What io.net brought Mira was a suite of technical solutions and support mechanisms that helped Mira scale operations while maintaining user trust. io.net is a genesis partner for Mira’s Node Delegator Program — a program that gives anyone a chance to contribute to io.net pools running dedicated verifier nodes for Mira’s network. This gave Mira access to the scalable infrastructure it needed to absorb spikes in demand.

io.net also offered Kubernetes-based deployments, bare metal services, and inference API endpoints that gave Mira access to flexible, high-performance compute. Mira now benefits from io.net’s worldwide GPU clusters, matching supply with demand for a variety of AI workloads including image generation, video rendering, and autonomous agent-based actions.

Better Together

Since partnering, more than 5,000 community members filled node delegator spots, spinning up an engaged and supportive ecosystem around Mira’s technology. The decentralized compute services took off, attracting notable AI projects including Leonardo and Open AI Korea to Mira’s platform. Within a few short months, Mira has powered ecosystem applications reaching over 400,000 users, and daily usage continues to increase.

Together, io.net and Mira are setting the standard for what it means to build reliable, verifiable, and genuinely scalable AI solutions in a world that demands nothing less. Onward!

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