EPIQ-M.
Industrial AI methodology to deliver business value
In the new era of industrial operations, artificial intelligence (AI) delivers tangible ROI in energy efficiency, productivity, quality, and reliability.
Our carefully engineered solutions integrate with existing infrastructure, respect operational realities, and deliver actionable insights.
Start where it matters and scale what works
EPIQ-M offers a practical approach to leveraging AI technology in the industrial setting to deliver increased value to our manufacturing and industrial operator clients.
Discover industrial AI solutions that integrate with legacy systems, operate in real time, and provide value in safety-critical, complex operations, energy intensive, and cost-sensitive environments.
Harness the power of AI for
Energy forecasting and control
Improve energy efficiency, forecast power demand or power usage, and get actionable insights from AI.
Productivity
Maximize throughput and increase your top line without the guesswork.
Inventory, product costing, and supply chain
Predictive intelligence grounded in reality, from optimal stock fluctuations to inventory strategy and product costing.
Quality Control
100% automated quality control checks for quality you can predict – and explain – at scale.
Predictive Maintenance
Move from reaction to prediction with confidence, and towards accurate and dynamically evolving remaining useful life (RUL) predictions.
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Frequently asked questions
What is the EPIQ-M framework?
EPIQ-M is Maya HTT’s industrial AI framework for identifying and prioritizing high-value use cases. It stands for Energy, Productivity, Inventory and supply chain and product costing, Quality inspection using AI machine vision, and predictive Maintenance.
Why did Maya HTT create the EPIQ-M framework?
Many industrial organizations know AI matters but struggle to decide where to start. EPIQ-M gives executives, plant leaders, and engineering teams a practical structure for selecting industrial AI use cases that align with business outcomes and operational priorities.
Can one AI project support more than one EPIQ-M category?
Yes. Many industrial AI projects deliver value across multiple categories. For example, predictive maintenance can improve uptime and productivity, while AI vision inspection can improve both quality and throughput.