Mira Network is dedicated to advancing AI infrastructure by eliminating hallucinations and bias, ensuring AI systems produce higher accuracy and lower error rates. Using decentralized verification mechanisms, Mira provides developers with tools to build more reliable AI-driven applications.
The Magnum Opus initiative is designed to accelerate groundbreaking projects at the intersection of generative AI, autonomous systems, and decentralized technology. With $10 million in retroactive grants, the program aims to empower founders shaping the future of AI development. Teams working on AI agents, machine learning models, and other AI-powered solutions will particularly benefit from access to Mira’s infrastructure and support.
Applications open on the 3rd of February, 2025, with the first cohort set to begin in March. Mira will onboard 15–20 teams through a rolling selection process, ensuring tailored support for high-potential projects. Early participants already include AI and tech pioneers from Google, Epic Games, OctoML, MPL, Amazon, and Meta, highlighting the caliber of talent expected in the project.
Commenting on the launch of the program, Karan Sirdesai, CEO and Co-Founder of Mira Network, said:
“We believe that the future of AI development lies at the intersection of innovation, autonomy, and decentralization. In addition to offering $10 million in grants retroactively, Magnum Opus is enabling the upcoming generation of founders to push the boundaries of what is possible.
“This grant program is about nurturing talent, encouraging teamwork, and creating a network of forward-thinking leaders who will shape the future of AI.”
Unlike traditional accelerator programs, Magnum Opus provides a highly customized experience tailored to each team’s specific requirements. Participants will have access to significant retroactive grant financing and direct introductions to investors. They will also benefit from office hours with Mira engineers and leaders in the AI sector, as well as technical and product development support.
Through PR amplification, KOL introductions, and growth methods customized to project goals, the initiative offers distribution and go-to-market assistance. Even after builders have hit the milestones and the grant has been disbursed, Mira Network will continue to support participants through long-term mentorship, ecosystem integration, and assistance with regional expansion.
The Magnum Opus grant program is not just about funding — it is about cultivating a community of visionary builders who will shape the next era of AI.
About Mira Network
Mira is building the foundational verification layer that enables trustless AI systems through advanced consensus mechanisms. The network combines sophisticated claim transformation and distributed verification protocols to achieve reliable AI execution at scale. With over 400,000 active users and multiple production deployments, Mira has emerged as a pioneer in AI verification technology. By solving the fundamental challenges of error rates and complex reasoning verification, Mira is establishing new standards for AI reliability — paving the way for truly autonomous AI systems that can operate without human oversight.
How the Mira Network Works
The network uses a multi-step verification process to transform probabilistic AI results into verifiable, deterministic claims:
Binarization (Claim Decomposition): Complex AI responses are broken down into discrete, atomic claims. For example, the sentence "Tokyo is the capital of Japan and Mount Fuji is its highest peak" would be split into two separate, verifiable statements.
Distributed Verification: These individual claims are distributed across a decentralized network of independent verifier nodes. To protect privacy, no single node sees the entire output; they only process specific "shards".
Consensus Mechanism: Multiple AI models evaluate the claims. The network uses a hybrid Proof-of-Work (PoW) and Proof-of-Stake (PoS) model.
PoW Component: Node operators perform actual "work" through AI inference (running computations to verify a claim).
PoS Component: Operators must stake MIRA tokens to participate. If they provide incorrect or dishonest results, their stake can be "slashed" (forfeited).
Cryptographic Certificates: Once consensus is reached, the network issues a cryptographic certificate attesting to the "truth" of the content.
The MIRA Token
The native MIRA token (built on the Base blockchain) serves as the economic engine for the ecosystem:
API Access: Developers pay in MIRA to access the "Verified Generate" API for high-accuracy AI outputs.
Staking Rewards: Node operators earn MIRA for performing honest verification work.
Governance: Token holders can vote on protocol upgrades and emission rates.
Key Applications
The network is utilized in high-stakes fields where accuracy is critical:
Klok: A multi-model chat app that uses Mira for unbiased results.
Learnrite: An EdTech platform that reportedly used Mira to increase AI accuracy from 75% to 96%.
Healthcare and Legal: Providing auditable verification for medical diagnostics and legal document analysis.
Working mechanics
To understand how each aspect of the Mira Network infrastructure works, let’s use an example that cosplays the process.
For example, if a user’s candidate content is, “ Arsenal is a club in London that has won three (3) UEFA Champions League titles.” The transformation process begins by breaking the content down into claims. This step is known as Binarization.
Arsenal is a club in London
Arsenal has won three (3) UEFA Champions League titles
Next, the network distributes these claims to node verifier models in the network to verify each claim. This step is called distributed verification, and as a matter of security and privacy, no verifying unit is capable of seeing the complete content.
Lastly, after the claims have been verified by the specialized models, a hybrid consensus mechanism that combines both proof-of-stake (PoS) and proof-of-work (PoW) together known as proof-of-verification begins.
In this phase, a cryptoeconomic mechanism is at play: Verifiers are incentivized to perform inference, rather than just attestation on the claims.
Lastly, the result of the verification is sent as consensus in the form of a cryptographic certificate, accompanying the outcome to the owner.
Like we mentioned earlier, Mira also takes privacy seriously, ensuring that content or inputs stay private by breaking them into entity-claim pairs and sharing the broken claims randomly across the network participants (nodes).
This sharding process allows for discrete transformation and verification of candidate contents, whereby responses after verification remain private until consensus.
Mira’s application of secure computation techniques to ensure privacy also reflects post-consensus. The certificate issued exists in cryptographic form, carrying only the unique verification details executed per node.
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