What We Do

We provide large-scale anonymization solutions for data in files, databases, and applications that adhere to GDPR and other privacy standards so that anonymized data can be used for data analytics & research, AI processing, cross-company sharing, testing production copy, information exchange within departments or across organizations, outsourcing to contractors, private-public data collaboration, etc.

We provide large-scale anonymization solutions for data in files, databases, and applications that adhere to GDPR and other privacy standards so that anonymized data can be used for data analytics & research, AI processing, cross-company sharing, testing production copy, information exchange within departments or across organizations, outsourcing to contractors, private-public data collaboration, etc.

Maya Data Privacy Value Proposition

Promoting Innovation

  • Developers gain easy access to data with minimal data privacy concerns.
  • Provisions of high-quality Training Data for Machine Learning based solutions.

Compliance with GDPR

  • Universal solution that complies with most of the global regulations on data privacy.
  • Inbuilt GDPR considerations for processing different types of data.

Reusability and Simplicity

  • Intuitive UX for data processing.
  • Support the establishment of organizational standards for processing information via reusable templates. 

Flexibility to Adapt

  • Option for customized anonymization, catering to specific use and providing fit-for-use anonymized data.

Promoting Innovation

  • Developers gain easy access to data with minimal data privacy concerns.
  • Provisions of high-quality Training Data for Machine Learning based solutions.

Compliance with GDPR

  • Universal solution that complies with most of the global regulations on data privacy.
  • Inbuilt GDPR considerations for processing different types of data.

Reusability and Simplicity

  • Intuitive UX for data processing.
  • Support the establishment of organizational standards for processing information via reusable templates. 

Flexibility to Adapt

  • Option for customized anonymization, catering to specific use and providing fit-for-use anonymized data.

Features

✓ Enhance information in data and remove ‘bad data’
✓ Enable business applications to work like real applications with safe data
✓ Allow working with ‘real like’ data in test environments with enhanced access
✓ Mitigate the risk of compliance fines and meeting legal guidelines in Europe
✓ Enhance the utility of other privacy software, data science tools, AI tools
✓ Allows re-use across the globe with predictable projects & no privacy hiccups

Ahead in Competition

Stand On Expectations

Data Privacy Officer

  • Data should not leave the original environment.
  • No possibility to be reversed back to original.
  • Same input should not always result in the same output.
  • Should anonymize all PII (Text, Numeric, date, etc.)
  • Not reversible even if parameters and algorithms are exposed.

Chief Data Officer

  • Data model should be retained.
  • Behaviour of a business process should not change.
  • Should be possible to validate with original data.
  • Data cleansing possibility before changing it.
  • Basic data mining tasks like deriving age from Date of birth.
  • Outlier detection / management / elimination before change.
  • No / Low utility loss for Analytics, Artificial Intelligence.

Chief Information Officer

  • Data should look relevant for Business decisions.
  • Should pass validations during tests like IBANs.
  • Cross application business process should run.
  • Less time for an end-to-end deployment – click-through usage.
  • Auditability of the full process.
  • Low Cost of initial set-up and maintenance.

Our Products

FileSafe & AISafe

For Researchers, Small, & Medium Enterprises

  • Anonymize files with CSV and XLS extensions
  • Anonymize or erase names, emails, IDs
  • Keep dates utility with smart randomization
  • Re-use previous configuration to repeat jobs
  • Algorithms supporting healthcare data guidelines
  • Use LLMs with privacy preserved data sent to LLMs
  • Retain intelligence and switch LLMs (org wide users)

AppSafe

For Mid-size & Large Enterprises

  • Anonymise data within working application (ERP, CRM, etc.)
  • Bulk anonymisation of data in-place (hybrid landscapes)
  • Anonymise data in multiple databases with consistency (Oracle, HANA, Postgres, SQL server, others)
  • Personal and confidential data profiling of Databases 
  • Detect personal & sensitive information across sources
  • Create test systems with anonymous production copy 

Pricing

Privacy Preserving File

Free

  • Upload file type csv, xlsx
  • Perform multiple files with consistency
  • Upto 1000 records in one or multiple files
  • Customized file types and algorithms

€ 10/month

  • Upload file type csv, xlsx
  • Perform multiple files with consistency
  • Upto 10,000 records in one or multiple files
  • Customized file types and algorithms

€ 100/year
(Paid monthly)

  • Upload file type csv, xlsx
  • Perform multiple files with consistency
  • Upto 120,000 records in one or multiple files
  • Customized file types and algorithms

Custom
(As per Request)

  • Upload file type csv, xlsx
  • Perform multiple files with consistency
  • Customized no. of records in one or multiple files
  • Customized file types and algorithms