Training Data Management
Turning messy healthcare data into AI-ready insights
Maya Data Privacy helps leading healthcare organizations transform raw, sensitive patient data into secure, structured datasets—ready for AI.

Challenge
Sensitive data. Complex formats. No time to prepare.
Healthcare organizations want to use AI to improve diagnostics, predict patient outcomes, and automate records. But they face tough obstacles:
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Protected health data can't be used as-is.
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Most data is unstructured—scans, notes, lab results.
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Manual annotation is slow, expensive, and prone to errors.
With mounting privacy concerns and evolving regulations like HIPAA and GDPR, making this data usable while staying compliant is harder than ever.
The transformation: From fragmented records to fully compliant training datasets
Maya steps in with a secure, AI-driven data preparation platform built specifically for healthcare. Here's how:
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Data ingestion & harmonization: We collect and standardize data across formats (text, images, audio).
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De-identification & labeling: Patient info is automatically removed and data is labeled by AI, with human-in-the-loop verification.
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Quality control & compliance: Data is checked for accuracy, completeness, and full legal compliance.
** In short, we turn healthcare’s most sensitive data into machine learning gold.
Results
Compliant, high-quality training data—delivered 5x faster
With Maya’s platform, healthcare innovators can:
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Cut data preparation time by 80%
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Improve model accuracy with clean, labeled, AI-ready data
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Meet compliance standards across HIPAA, GDPR, and ISO
"We went from weeks of manual work to AI model-ready data in just days. Maya’s automation saved us time and ensured patient privacy."
— Product Head, HealthTech AI Startup
Why MAYA

Healthcare native
We understand DICOMs, HL7, EMRs, and clinical workflows.

Privacy by design
Built-in de-identification and role-based access.

Human + AI
Smart automation, plus expert oversight to ensure quality.
Solutions: Maya Technology

€2000
Saved on Training Per Person Per Job
Main cost saving is in employee training. On average save 20% of training time while onboarding new joiners, hence saves average 2000 euro on training per person per job.

Enhance Productivity
Getting high productivity due to freedom of an employee to try and learn fast in real like systems, helps to have better satisfaction for both trainees and supervisors at the same time.

Saved on Training Per Person Per Job
Reduced implementation and deployment timeIn implementing the solution from MAYA compared to others like time to deploy the solution reduced from months to weeks
Reduced employee training time.20% of time in 2 weeks, saving 2 days for 1000 staff switching roles in a year, which is 2000 days of saved shift time.