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.
A reasoning-first AI platform providing 99% verifiable accuracy for complex, critical-thinking tasks.
- 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
- 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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