Discover how our specialized approach to sensor data analytics and equipment monitoring sets us apart from conventional maintenance providers across Japanese industry.

Our approach combines deep industrial domain knowledge with advanced data science capabilities. Every engagement is designed around your specific equipment profiles and operational requirements, producing models that reflect your real-world conditions.
We understand the regulatory environment, manufacturing standards, and operational norms specific to Japanese industry.
Every anomaly detection model is calibrated to your equipment profiles, avoiding generic thresholds that miss meaningful signals.
From sensor selection through platform integration, we manage every phase of your predictive maintenance deployment.
Organizations that transition from fixed-interval maintenance to condition-based strategies typically see significant reductions in unplanned downtime and maintenance spending. Mikoto AI provides the technical foundation and ongoing support to make that transition measurable and sustainable.
See Our ApproachMikoto AI brings together industrial engineering experience and machine learning proficiency to deliver predictive maintenance programs that produce lasting operational value.

Our models are trained and validated on real equipment data, ensuring they detect meaningful patterns rather than generating false alerts.

Our data pipelines grow with your operations, handling additional sensors and assets without requiring fundamental redesign.
Engagement costs are clearly defined from the outset, with packages ranging from ¥90,000 to ¥330,000 based on scope and complexity.
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Our technical team remains available after deployment to assist with model tuning, system updates, and operational questions.
Speak with our engineers about your facility's needs and learn how Mikoto AI can help you build a reliable predictive maintenance program.
Each of our service areas addresses a critical component of a successful predictive maintenance program, from initial sensor deployment through ongoing model management.

We help you choose and install sensors suited to your equipment types and operating conditions, ensuring reliable data collection from the start.
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Our data scientists build and calibrate anomaly detection models using your operational data, tuning them to detect early signs of degradation specific to your machinery.
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We connect predictive alerts and maintenance recommendations to your existing CMMS, ERP, or workflow tools so insights reach the right people at the right time.
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