MiroMind
A reasoning-first AI platform providing 99% verifiable accuracy for complex, critical-thinking tasks.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Aug 14, 2026
Overview
What is MiroMind?
MiroMind is an AI frontier lab that develops a General Purpose Solver, a reasoning-first AI system designed for verifiable accuracy rather than just probabilistic generation. It features MiroThinker, a 235B parameter model that utilizes 'System 2 Thinking'—a deliberate, structured logical deduction process. The platform operates on MiroMind OS, which manages complex problem-solving through a Directed Acyclic Graph (DAG) reasoning protocol, allowing for branching, rollback, and replanning. It is specifically engineered for critical tasks in industries such as software engineering, legal compliance, financial engineering, and scientific research where 99% certainty is required.
What is MiroMind used for?
Tags
Top Features
- MiroThinker (235B parameter reasoning-optimized model)
- Verifiable Accuracy (Achieving 99% cumulative accuracy on 300-step reasoning chains)
- System 2 Thinking (Deliberate logical deduction over rapid pattern matching)
- MiroMind OS (Operating system for managing state, memory, and reasoning policy)
- DAG Reasoning Protocol (Supports Branch, Rollback, and Replan functions)
- Self-Evolution (Continuous improvement through internal SWE-bench and self-surgery capabilities)
How to use MiroMind?
Users provide complex prompts to the system, which MiroThinker then processes by planning a reasoning chain (DAG). The system executes each step, verifies it against a set of policies, and can rollback or replan if errors are detected. It can be integrated into production workflows for asset management, health data analysis, and enterprise operations.
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Use Cases
- Autonomous code generation, debugging, and architecture optimization
- High-confidence investment decisions for institutional investors
- Legal contract analysis, regulatory mapping, and due diligence
- Risk modeling and algorithmic trading in financial markets
- Hypothesis generation and molecular simulations for Bio-Pharma research
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