Enterprise AI Blueprint

MaxBlueprint

The Definitive Blueprint for Enterprise Intelligence

VALUE DELIVERY ARCHITECTURE

MaxBlueprint Value Delivery Architecture

"AI has been running for 6 months—where's the ROI?" A complete closed loop from data to real ROI through three-layer integration of foundational compute, turnkey deployment, and industrial expert methodologies.

MaxBlueprint Value Delivery Architecture
Deliver Real ROI
Solve Business Pain Points · Quantify Investment Returns
MaxModel Asset Pool
Inject industry expert know-how
Targeted solutions for vertical challenges
Out-of-Box Delivery Foundation
MaxtaOS heterogeneous compute management
MaxDeploy best-practice appliance delivery
Factory Data
Sensor Signals
Business Processes
3P FRAMEWORK

Targeted Strategic Guidance Framework

MaxBlueprint rejects the common pitfall of searching for problems to fit solutions. Problem · Process · People—three progressive layers targeting enterprise core pain points.

01 · PROBLEM
Precise Problem Definition
Problem Scoping
Start from real business pain points—factory yield, equipment downtime, energy overruns—establish quantifiable problem boundaries ensuring AI investment targets truly valuable scenarios.
02 · PROCESS
Process System Re-engineering
Process Re-engineering
Embed AI capabilities into existing production processes rather than building isolated systems. Ensure MaxModel inference directly drives industrial control and business decisions.
03 · PEOPLE
People Capability Building
People Enablement
Blueprint success isn't just technology delivery—it's the continuous accumulation of internal AI capabilities. Maxta provides operational training, knowledge transfer, and ongoing support.
ACADEMIC ADVISORY

Top-Tier Think Tank EndorsementMaking the Blueprint Actionable

MaxBlueprint is no ivory tower. We bring deep support from the world's top industrial AI think tanks, ensuring every model and deployment is built on success proven by 50+ world-class enterprises.

Prof. Jay Lee

Jay Lee

Global Industrial AI Pioneer · Maxta Strategic Advisor

Robert E. Fischell Distinguished Professor, University of Maryland
World Economic Forum (WEF) Member
Director, IMSC Intelligent Maintenance Systems Center
Former Vice Chairman of Foxconn · Led Lighthouse Factory Initiatives

MaxBlueprint captures the essence of enterprise intelligence—it's not about selling generic massive algorithms, but precisely solving the 'invisible problems' in factories. Customer pain points are where industry creates future value.

As a globally recognized leader in IMS and Industrial AI, Prof. Jay Lee has guided intelligent transformation of top enterprises including Boeing, Toyota, and TSMC. His research team pioneered the CPS concept and led development of the ISO 13374 standard.

Collaboration with Maxta focuses on integrating IMSC's 20+ years of predictive maintenance algorithms in manufacturing, energy, and aviation into MaxModel's industrial vertical model training and fine-tuning.

Predictive Maintenance PHMCyber-Physical Systems CPSISO 13374 Standard
EMPOWERING THE BLUEPRINT

Backed by Top Minds, Building an Unbreakable AI Productivity System

Maxta's full-stack proprietary software-hardware foundation converges with deep industry expertise from world-class experts. MaxBlueprint is the optimal roadmap for enterprises toward a resilient, highly intelligent future.

3P Framework
Targeted Strategic Guidance
Battle-tested Problem-Process-People principles targeting core pain points like factory yield and energy consumption, helping precisely define problem boundaries.
LKM Knowledge Model
Deep Expert Mechanism Accumulation
Inject industrial physics models, sensor characteristics, and top expert experience into the blueprint, empowering MaxModel Asset Pool with mature industrial knowledge model assets.
Edge Intelligence
Lighthouse Factory-Grade Edge Experience
Built on hands-on experience from world-class manufacturing facilities like Foxconn, reinforcing absolute emphasis on edge intelligence, driving MaxDeploy appliance design for millisecond response in offline workshops.
Six-Stage Value System
ROI-Driven Value Assessment System
Introducing a rigorous six-stage value conversion system from data cleaning to decision execution, ensuring every investment yields visible, tangible returns.
WHY MAXBLUEPRINT

End the "Value Vacuum"Quantify Every AI Investment

The biggest failure of enterprise AI projects isn't that the technology doesn't work—it's the inability to prove business value. MaxBlueprint embeds ROI quantification into its methodology from day one.

0Day Delivery, Instant Output
MaxDeploy ships fully pre-installed—plug in and go. AI value starts counting from day one.
100% Air-Gapped, Data Stays In-House
Sensitive production data physically isolated, fully meeting defense, healthcare, and finance compliance requirements.
Open Architecture, Zero Vendor Lock-in
MaxtaOS supports NVIDIA, Ascend, and Cambricon heterogeneous GPUs with MaxModel standard APIs, protecting long-term AI asset value.
Expert Mechanisms × AI Compute, Dual-Engine Drive
Prof. Jay Lee's industrial mechanism knowledge combined with Maxta's compute foundation delivers higher accuracy and shorter deployment than pure data-driven models.
Typical Customer ROI Metrics
Unplanned Equipment Downtime
↓ 40%+
Product Yield Improvement
↑ 2–5%
AI System Deployment Cycle
Months → Days
Energy Optimization
↓ 15–25%
Manual QC Labor Savings
↓ 60%+
Data source: Jay Lee IMSC Global Case Library · Average of 50+ enterprises
START BUILDING YOUR ENTERPRISE AI

Power On, AI Instantly Ready

MaxtaOS frees your compute from vendor lock-in, MaxModel delivers real business value. Two products working together for a complete enterprise AI stack.