Mirai Labs — Operational Intelligence
Smarter operationsless waste.
AI that helps industrial companies manage and optimize their operations in real time — allocating resources intelligently, identifying inefficiencies, and surfacing decisions before they become problems.
Operational Intelligence
How it works.
From raw operational data to prioritized recommendations.
Data Capture
Industrial data aggregation.
- Operational data is collected continuously across machines, lines, shifts, and systems.
- Input sources include production logs, sensor streams, ERP records, and manual entries.
- All data is normalized into a unified model regardless of the originating system or format.
Analysis
Identification of weaknesses and inefficiencies.
- AI models run continuously across the aggregated data to detect patterns and anomalies.
- Underperforming areas, resource imbalances, and recurring waste events are surfaced automatically.
- Results are ranked by operational impact so teams focus on what matters most first.
Decision Support
AI-powered recommendations.
- The system generates prioritized recommendations for streamlining processes and allocating resources.
- Each recommendation includes the supporting data and expected impact, not just the suggested action.
- Decision logic is grounded in deep industrial process optimization expertise.
Action
Real-time monitoring and continuous improvement.
- Implemented changes are tracked in real time to measure their effect on operational performance.
- The system learns from outcomes and refines future recommendations accordingly.
- Every decision and its result is logged for traceability and audit purposes.
Key Features
Built tocut waste.
Every capability targets a real operational cost.
Operations
Optimized resource allocation.
- Intelligent allocation of resources, materials, and machinery across the production environment.
- Bottlenecks and underutilized capacity are identified and rebalanced automatically.
- Operational throughput improves without adding headcount or capital investment.
Data Analysis
Industrial data analysis.
- Aggregates data across machines, lines, and shifts to surface weaknesses and areas for improvement.
- Patterns that would be invisible in daily operations become visible at scale.
- Reporting is structured for quality, production, and operations teams simultaneously.
Decision Support
AI-powered decision making.
- Recommendations are generated for prioritizing and streamlining processes based on live operational data.
- Decision logic is grounded in deep industrial process optimization expertise.
- Teams act faster and with more confidence, without needing to interpret raw data themselves.
Integration
Simple integration with existing systems.
- Deployment is compatible with existing workflows, systems, and infrastructure.
- No rip-and-replace — the solution layers on top of what is already in place.
- Commissioning is measured in days, not months.