The Problem
Managing health records safely is one of the toughest data problems for organisations:
IP leakage through prompts, logs, or retained datasets
Proprietary data sent to external AI platforms
Lack of control over model training and reuse
Compliance gaps across global manufacturing operations
The MAYA Approach
IP-Protected AI Training for Manufacturing
MAYA enables manufacturers to train and use AI models while ensuring intellectual property and sensitive operational data remain fully protected not just personal data.
Proprietary data is transformed before AI access
IP remains inside enterprise boundaries
AI models never see raw sensitive data
How It Works
How MAYA Secures Training Data
01
Secure Data Ingestion
Manufacturing data is ingested from MES, PLM, SCADA, IoT platforms, ERP systems, and data lakes — without exposing raw sensitive values.
02
Sensitive IP Detection
MAYA automatically identifies:
-
Proprietary process parameters
-
Trade secrets and design attributes
-
Confidential operational metrics
-
Sensitive supplier or production data
03
Privacy & IP-Preserving Transformation
Advanced Privacy-Enhancing Technologies (PETs) transform sensitive data into AI-safe formats while preserving patterns, correlations, and statistical value required for model training.
04
AI Training & Processing
AI models are trained using sanitised, IP-safe data — on-premises, private cloud, or secure enterprise environments.
05
Enterprise-Controlled Governance
No data is stored, reused, or retained by external AI providers. All policies, access, and usage remain fully governed by the enterprise.
Business Benefits
Protect Intellectual Property
Accelerate AI Adoption
Enable Secure Collaboration
Future-Proof Compliance
Ready to Build Responsible AI?
Speak to a Maya expert to see how we can help your team deliver smarter, safer AI with confidence