Transparent Packages for Predictive Maintenance

Our engagement packages range from ¥90,000 to ¥330,000, designed to match your facility size, equipment complexity, and integration requirements.

Mikoto AI

How Our Pricing Works

A clear explanation of how Mikoto AI structures its predictive maintenance packages and what factors influence engagement costs.

At Mikoto AI, we believe that transparent pricing builds trust and enables better planning. Our packages are structured around the scope of work involved, including the number of monitored assets, the complexity of sensor deployment, the depth of model calibration required, and the level of integration with your existing maintenance management platform. This approach ensures that you pay for services that match your actual operational needs.

Package options tailored to different operational scales

What Determines Your Package Cost

Several factors influence the final cost of a predictive maintenance engagement. The number of assets to be monitored, the types of sensors required, the availability and quality of historical data, and the complexity of integrating alerts into your CMMS or workflow tools all play a role in shaping the scope of work.

We discuss these factors during the initial consultation to help you understand which package aligns with your priorities and budget. Our team provides a detailed scope document before any engagement begins, so there are no surprises. You always know what is included and what optional additions are available.

What Each Package Includes

Every Mikoto AI engagement includes a core set of deliverables designed to establish a reliable predictive maintenance foundation at your facility. Depending on the package selected, the depth and breadth of each component varies to match your operational scale.

  1. Sensor Assessment and Guidance: Review of your equipment to recommend appropriate sensor types, placement locations, and data capture frequencies for reliable monitoring.
  2. Data Pipeline Configuration: Design and setup of the data collection and storage architecture that feeds equipment telemetry into the analytics platform.
  3. Anomaly Model Calibration: Training and tuning of detection models using your equipment data to identify meaningful patterns of degradation specific to your assets.
  4. Platform Integration Support: Connection of predictive alert outputs to your existing maintenance management tools, ensuring insights reach the right personnel promptly.
Engagement scoping process during a client consultation

Flexible Engagement Options

We recognize that every facility has different needs and timelines. Some clients begin with a focused pilot on a single production line before expanding across the plant. Others prefer a comprehensive deployment from the outset. Our packages accommodate both approaches, and our team works with you to determine the right starting point.

All packages include post-deployment support to ensure that models continue to perform as expected and that your maintenance teams are confident using the system. Additional model tuning, expanded asset coverage, or advanced analytics capabilities can be added to any package as your program matures.

Planning Your Investment

We recommend starting with a consultation to determine which assets would benefit most from predictive monitoring. Focusing initial efforts on high-value or high-risk equipment typically delivers the strongest return on your maintenance investment.

To receive a detailed proposal with pricing specific to your facility and requirements, please contact our team. We will discuss your operational goals, assess the scope of work, and provide a transparent quote that outlines all deliverables, timelines, and costs involved in your predictive maintenance engagement.

Value Delivered at Every Level

Every package is built to deliver measurable operational improvements from the start of your engagement.

Clear Return on Investment

Reductions in unplanned downtime and unnecessary maintenance events translate directly into cost savings that offset your predictive maintenance investment.

Scalable From Day One

Begin with a focused deployment and expand coverage as you see results. Our architecture supports growth without requiring major redesign or additional infrastructure.

Ongoing Support Included

Every package includes post-deployment assistance, so your team has access to technical guidance for model tuning, system updates, and operational questions.

No Hidden Costs or Fees

Our proposals detail all costs upfront. You receive a complete scope of work document before any engagement begins, ensuring full transparency about what is included.

Request a Custom Pricing Proposal

Share details about your facility and equipment, and our team will provide a tailored proposal with transparent pricing for your specific requirements.

Ready to Invest in Reliable Maintenance?

Contact Mikoto AI to discuss your requirements and receive a detailed proposal matched to your operational scale and budget.

Get in Touch

Why Our Packages Deliver Value

Every Mikoto AI package is structured to deliver measurable outcomes from your maintenance investment, with transparent costs and clear deliverables at every stage.

Tailored Scope Definition

We size each engagement to your specific asset count, sensor needs, and integration complexity so you never pay for services you do not require.

Learn More

Proven Methodology

Our delivery process follows a tested framework refined through engagements across multiple sectors, reducing risk and accelerating time to value.

Learn More

Post-Deployment Assurance

Our relationship does not end at deployment. Every package includes continued support to help your team maintain confidence in the system.

Learn More