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Agent Mira

The AI Scientist Platform for Scalable Innovation

Unifying research intelligence into evolving capability for chemistry and materials R&D.

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INDUSTRY R&D SOLUTIONS

Industry Intelligence × Domain Data × Scientific Tools × Specialized Workflows

Discover Next-Gen Battery Materials

Linking interfacial chemistry, multiscale simulation, and experiment

Technology Map: Integrate papers, patents, and industry signals into a live R&D knowledge base.

Materials Data: Extract structures and properties into a searchable, evolving data space.

Multiscale Modeling: Combine molecular properties, reaction pathways, and multiphysics simulation to predict cycling performance.

Lab Integration: Generate formulations, dispatch experiments, and continuously optimize models with test results.

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R&D TASK ENGINE

Search Space × Execution Throughput × Iteration Speed

Expand Exploration Space
Scale Execution Throughput
Accelerate Iteration Speed

Iterative retrieval, generative models, and the project wiki expand candidate space.

Multi-file canvases and agentic workflows coordinate parallel computation and optimization.

Expert squads decompose tasks, track experiments, and turn live data into next iteration.

SCIENTIFIC MODEL FOUNDATION

Six proprietary models underpin scientific reasoning

ENTERPRISE R&D OPERATIONS

Autonomous Labs × Secure Deployment × Governed Collaboration

AI-Driven L4 Autonomous Laboratory

Closing the Loop Between Dry & Wet Lab

AI Glasses Transform Lab Operations: Provide procedural guidance, retrieve documents, log experiments, and verify operations.

Unified Automation Orchestration: Coordinate synthesis and analytical equipment for execution, monitoring, and data capture.

LIMS / ELN Integration: Connect materials, samples, instruments, experimental processes, and results.

Real-Time Data Feedback: Drive result analysis, process review, and next-round experiment design.

Flexible Deployment & Data Security

Built for Enterprise Deployment, Security, and Compliance

Deployment Options: Support API integration, public-cloud SaaS, private cloud, and on-premises deployment.

AIPC On-Device Intelligence: Run lightweight, dedicated capabilities on local R&D workstations.

Data Isolation & Encryption: Provide tenant isolation, dedicated containers, encrypted storage, and network segmentation.

Identity & Audit: Support IP allowlists, SSO / LDAP / AD, and audit logging.

Governance & Collaboration

Enabling Enterprise-Scale R&D Operations

Fine-Grained Access Control: Grant access by role, project, and data scope.

Project & Task Collaboration: Manage teams, progress, and result archiving in one place.

Dashboards & Resource Monitoring: Track projects, tasks, members, and resource usage.

Versioned Knowledge Assets: Trace and reuse knowledge bases, databases, and workflows.

Partners

Deep Principle is a global leader in AI for Materials, dedicated to accelerating innovation in materials through artificial intelligence. The name embodies the fusion of deep learning and first principles, aiming to deeply reconstruct the fundamental operating principles of the microscopic world (the particle world).
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