- Mira has achieved 97-98% accuracy in AI verification, serving 400,000+ users and processing over 200,000 AI inferences daily.
- IO.net partnered with Mira to solve computing constraints through their Node Delegator Program, providing scalable infrastructure for AI verification.
- The partnership has attracted 5,000 community members and notable AI projects like Leonardo and Open AI Korea to Mira’s platform.
Mira has established itself as a leader in AI verification technology, building infrastructure for trustless, verified intelligence at scale. The company’s platform has reached more than 400,000 users and processes over 200,000 AI inferences daily with a remarkable 97-98% accuracy rate, according to recent reports from the company.
The verification process developed by Mira follows a rigorous methodology. First, content is converted into binary yes/no claims through a process called binarization. These claims are then verified by independent validator nodes operating in a network. Outputs are only finalized when consensus is achieved, with the results recorded on blockchain for transparency and accountability.
Scaling Challenges in AI Verification
As Mira’s user base expanded rapidly and AI models grew more sophisticated, the company encountered significant infrastructure limitations. Their existing data centers and node networks struggled to keep pace with growing demand across diverse applications, from biotech analytics to gaming predictions and DeFi trading agents.
Traditional cloud infrastructure proved both complicated and expensive for Mira’s specialized needs. Maintaining consistent performance became increasingly critical as users expected reliable and accurate AI outputs across all use cases.
Partnership with io.net Enables Growth
To address these challenges, Mira partnered with io.net, which became a genesis partner for Mira’s Node Delegator Program. This collaboration allowed anyone to contribute to io.net pools running dedicated verifier nodes for Mira’s network, significantly expanding available infrastructure.
io.net provided crucial technical solutions including Kubernetes-based deployments, bare metal services, and inference API endpoints. Mira gained access to worldwide GPU clusters that could match supply with demand across various AI workloads including image generation, video rendering, and autonomous agent actions.
The partnership results have been substantial. More than 5,000 community members have participated in the node delegator program, creating an engaged ecosystem around Mira’s technology. The platform has attracted notable AI projects including Leonardo and Open AI Korea.
Together, io.net and Mira are establishing new standards for building reliable, verifiable, and scalable AI solutions that meet the increasing demands of today’s market.
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