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A New Solution to Address
Data Privacy Challenges

Share Data with Confidence

Sharing Data Should Not Result in Millions in Fines

Nonymus applies the latest advances in large language model to identify personally identifiable information (PII) based entirely on context. Nonymus enhances data privacy, provides an effective solution for data de-identification for semi-structured and unstructured data and protects its clients from avoidable data privacy violations. 

Your Data, Your Way

No one knows your business better than you do. Nonymus protects personal identifiable information (PII) using de-identification and ensures compliance to major personal data privacy (PDP) regulations. 

Data Science Challenge

Post-Covid, hybrid working environment has become a global norm and data breaches have become all too common. In 2020, there were 3 data breaches per day reported and in 2022, there were close to 6 data breaches being reported in the US. Globally, the data breaches are 3 - 5 times  higher than the US numbers.

Data Privacy is More Than an AI/ML Model​

Nonymus solution is powered by AI based large language model that de-identifies sensitive data within unstructured datasets that include text, image, audio, and video files, and masks databases to safeguard personal data of customers, workers, and patients. 

Full Customer Experience Service

At nonymus, we have only one goal – Ensure that our clients are able to maintain data privacy while the data is in their environment and after the data leaves their environment. We support industry verticals where dealing with sensitive data is part of daily routine. We serve healthcare, insurance, legal, and banking and finance industries through our SaaS solution.

Unprecedented Accuracy

Impeccable Reliability

Elegant Data Privacy

In today's techno-landscape, enterprises and their customers have become extremely aware of data breaches and the protection of personal and sensitive information. Many organizations tend to focus solely on structured data and databases, overlooking a significant volume of non-structured data present in office documents, emails, images, scanned documents, PDFs, images, audio and video files. These unstructured datasets account for 3/4th of the information within the enterprise. This, in essence, is the critical data security need of the day. Personal identifiable information (PII), Personal Health Information (PHI) and Payment Card Industry (PCI) data are different categories of information that organizations and hackers can use to identify individuals to provide them with services or misuse the information. PII, PHI, and PCI fall under the category of information governance under all major data privacy regulations. Governance is defined as the security regulations that organizations must follow to protect sensitive client information and maintain transparency about its use. Within this vast dataset, PII, PHI and PCI must be protected for the enterprise to remain compliant to PDP regulations.

Why Personal Data Privacy Matters?


Daily Data Breaches


Highest GDPR Fine


Records Compromised 

97 Zt

New Data in 2022


Annual Data Growth

Our Partners

  • Why can't Encryption alone protect data?
    Data in an organization leaves traces with the entities that utilize it, either during processing or sharing (these entities are: logs, backend, database, data warehouse, analytics/ML, etc.) Often encryption is used to solve this problem but it doesn't solve your compliance problem. With encryption you have to use the right algorithms, right chaining mode and rotate your keys appropriately. Encryption works on the data in a holistic view and not in a granular fashion. Let us take an example: I want to delete a specific value (like email or phone number) from all the places where it has been used. Encryption can't solve this problem because it's just a data protection mechanism, In scenarios like this, you actually have to go all the places, trace out this specific email and phone number and delete it. At times, this is practically impossible because you do not have the trail of all the data traces. With Data anonymization, you never store the actual data (in this case email or phone number), but pseudorandom tokens, now letting this data get shared wherever required in the system. When it comes to deleting, updating of this specific data, it's possible because data security and compliance are applied at a granular level and at the source itself.
  • Encryption means data compliance?
    Encryption is a primarily a data protection technique but may not solve all the data compliance concerns. On the other hand, Anonymization and Pseudonymization protect data and demonstrate compliance.

Are You Ready to Safeguard Your Data?

Countless companies are now falling victim to these attacks, resulting in severe damage to their brand reputation, substantial financial losses due to class-action lawsuits and stiff fines by the data privacy regulatory agencies.

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