Mira is a decentralized network designed to verify the output of Artificial Intelligence (AI) models. The project's primary goal is to address reliability issues in AI, such as hallucinations and bias, by creating a "trust layer" for AI systems. ^{[1] [2]}

Overview

Mira was developed to solve what its whitepaper describes as the "AI reliability gap," a fundamental trade-off in AI development between precision and accuracy. AI models often suffer from hallucinations (generating fabricated information) and bias (systematic deviation from truth). The project posits that no single AI model can overcome this limitation on its own. Mira's solution is a system of "collective intelligence," where a decentralized network of diverse AI models collaborates to cross-verify AI-generated content. This process transforms AI outputs into discrete, verifiable claims that are assessed by the network to reach a consensus on their validity. ^{[3] [2]}

The network is secured using cryptoeconomic principles, combining elements of Proof-of-Work and Proof-of-Stake to incentivize honest participation from node operators. The long-term vision for Mira extends beyond verification. The project aims to evolve into a "synthetic foundation model" capable of generating inherently error-free output. This would enable the development of fully autonomous AI systems that can operate in high-stakes environments without requiring direct human oversight. The project is developed by Aroha Labs, an organization based in San Francisco. ^{[4] [1]}

"The future of AI isn't just about more powerful models - it's about building systems we can actually trust." ^[3]

History

The public-facing development of the Mira project began in early 2024, with its official X (formerly Twitter) account being established in February of that year. The project reached a major milestone around September 26, 2025, with the launch of the Mira Mainnet. This event marked the official debut of the network's operational infrastructure, which includes a block explorer for on-chain data verification and a staking portal for network participants. ^[1]

Coinciding with the mainnet launch, Mira conducted its Token Generation Event (TGE) for its native MIRA token. As part of the launch, Binance announced on September 25, 2025, that it would distribute 20 million MIRA tokens to BNB holders through its HODLer Airdrops program via Simple Earn subscriptions. ^{[6] [7]} The token was also distributed to other eligible users through an airdrop. On the day of the launch, the official airdrop claim website experienced a temporary outage, which the team attributed to unexpectedly high user traffic. A temporary backup link was provided to manage the demand. ^[1] Immediately following the TGE, the MIRA token was listed for spot trading on several major centralized exchanges, including Binance, Bitget, and Kraken. Binance began trading on September 26, 2025, at 12:00 UTC, launching with five pairs: MIRA/USDT, MIRA/USDC, MIRA/BNB, MIRA/FDUSD, and MIRA/TRY. ^{[7] [8]}

Technology

Mira's technology combines a decentralized verification protocol with a suite of developer tools designed to facilitate the creation of reliable AI applications. The architecture is built on a blockchain foundation that uses a hybrid consensus mechanism to secure the network and align incentives. ^[2]

Core Architecture and Verification Process

The network's primary function is to provide a trustless system for verifying the accuracy of AI-generated content. This is achieved through a multi-step workflow designed to break down complex information and leverage the collective intelligence of multiple AI models. ^[2]

The verification process follows these steps:

1. Submission: A user submits content, which can be generated by either an AI or a human, to the network for verification. The user also specifies parameters such as the relevant knowledge domain (e.g., legal, medical) and the required consensus threshold for validation.
2. Content Transformation: The network's protocol deconstructs the submitted content into a set of discrete, "independently verifiable claims." This process is designed to isolate factual statements while preserving the logical connections between them.
3. Distribution: The individual claims are sharded and distributed randomly across a network of independent node operators. This sharding is a key privacy feature, as it prevents any single node from reconstructing the full context of the original submission.
4. Verification: Each node operator utilizes its own AI model, referred to as a "verifier model," to assess the validity of the claims it receives. The network is designed to attract a diverse range of specialized models, enhancing its ability to verify content across various domains.
5. Consensus: The network aggregates the verification results from all participating nodes. It then determines whether the pre-defined consensus threshold has been met for each individual claim.
6. Certification: Once the process is complete, a cryptographic certificate is generated and returned to the user. This certificate immutably records the outcome of the verification, including the consensus level achieved and which models participated in the validation. ^[2]

"What is needed is an AI verification system based on decentralized consensus instead of centralized authority, allowing any AI generated output to be verified without relying on a single trusted entity." ^[2]

Economic Security Model

To ensure the integrity of the verification process and prevent malicious activity, Mira employs a hybrid economic model that combines principles from both Proof-of-Work (PoW) and Proof-of-Stake (PoS). ^[2]

• Proof-of-Work (PoW): Unlike traditional PoW systems like Bitcoin that use computational power to solve arbitrary mathematical puzzles, Mira's model defines "work" as the meaningful inference computation performed by the AI verifier models. This approach ensures that computational resources are directed toward the network's core function of verification.
• Proof-of-Stake (PoS): To participate as a node operator, individuals or entities must stake a certain amount of value in the network's native token. This stake acts as a security deposit, creating an economic disincentive against dishonest behavior. It addresses vulnerabilities like low-cost guessing attacks, where a malicious actor could attempt to validate claims without performing actual verification.
• Slashing: The network incorporates a slashing mechanism to penalize nodes that consistently provide responses that deviate from the network consensus. If a node is identified as malicious or negligent (e.g., by submitting random guesses), a portion or all of its staked assets can be confiscated. This makes dishonest participation economically irrational.

This hybrid model is designed to create a self-regulating ecosystem where honest and accurate node operators are rewarded with network fees, while malicious actors are financially penalized. ^[2]

Mira Software Development Kits (SDKs)

Aroha Labs has developed a suite of tools to allow developers to build on and interact with the Mira network. These SDKs are designed to abstract away the complexity of managing multiple AI models and building sophisticated AI-powered workflows. ^{[4] [5]}

Mira Network SDK

The Mira Network SDK is a Python-based toolkit that provides a unified interface for interacting with various AI language models. It functions as an abstraction layer, allowing developers to send requests to different models through a single API instead of managing separate integrations for each one. Key features of the Network SDK include:

• Smart Model Routing: Intelligently directs requests to the most appropriate model based on various criteria.
• Load Balancing: Automatically distributes network traffic across different nodes to prevent overloads and ensure consistent performance.
• Usage Tracking: Provides integrated tools for monitoring API calls and model usage.
• Standardized Error Handling: Offers a consistent mechanism for managing errors across all supported models, simplifying development. ^[4]

Mira Flows SDK

The Mira Flows SDK is a Python toolkit for programmatically creating, managing, and deploying complex AI applications, referred to as "flows." These flows can range from simple chatbots to multi-stage data processing pipelines. A core feature of the Flows SDK is its support for Retrieval-Augmented Generation (RAG), which allows developers to integrate custom knowledge bases (such as PDFs, markdown files, or web content) into their AI applications. This enables the creation of context-aware AI systems that can draw on specific, proprietary information. The ecosystem also includes the Mira Console, a web interface for managing projects, and a Flows Marketplace where developers can share and use pre-built, customizable AI solutions. ^[5]

Tokenomics

The native utility and governance token of the Mira network is MIRA. The token is integral to the platform's economic security model and ecosystem functions. The official Token Generation Event (TGE) for MIRA occurred around September 26, 2025, coinciding with the mainnet launch. ^{[1] [7]}

The total supply of MIRA is fixed at 1 billion tokens. At the TGE, the initial circulating supply was 191.2 million MIRA, representing 19.12% of the total supply. ^{[8] [7]}

Token Distribution

The allocation of the MIRA token is as follows:

• Ecosystem Reserve: 26%
• Core Contributors: 20% (locked for 12 months, then a 36-month linear vest)
• Validator Rewards: 16%
• Foundation: 15% (locked for 6 months, then a 36-month linear vest)
• Early Investors: 14% (locked for 12 months, then a 24-month linear vest)
• Initial Airdrop: 6%
• Liquidity Incentives: 3%

The initial airdrop was distributed to early ecosystem participants, including users of the Klok and Astro applications, node delegators, and community members. This included a 20 million MIRA airdrop (2% of total supply) to BNB holders via Binance's HODLer Airdrops program. ^{[8] [7]}

Token Utility

The MIRA token has several core functions within the network:

• API Access & Value Capture: Used as payment for accessing the AI verification APIs.
• Node Staking: Required for verifier nodes to stake in order to participate in the network and earn rewards.
• Governance: Allows token holders to participate in protocol upgrades, fund allocation, and other ecosystem decisions.
• Ecosystem Incentives: Used to reward developers, partners, and community contributors for their role in growing the network.

These utilities are designed to secure the network, incentivize participation, and facilitate decentralized governance. ^[8]

Team

The Mira whitepaper was co-authored by Ninad Naik, Sidhartha Doddipalli, and Karan Sirdesai. The project is developed by Aroha Labs, which is identified as the parent organization through the project's official documentation and online profiles. ^{[2] [4]}