Share confidential data.
Keep it private.

Pryml enables organisations share their confidential data without disclosing it.

What We Do

Pryml is an enterprise-scale platform to synthesise data and deploy applications built on that data back to a production environment.

Test ideas. Launch new products. Fast. Secure.

Problem

Outsourcing analytics and sharing data leads to high risk of breaches.

Encryption and obfuscation are not practical solutions.

Solution

  • Secure Data Access
  • Synthetic Data Library
  • Safe-Deployment

Outcome

Pryml addresses issues around trust and security for enterprises dealing with confidential data. 

Deployment speed is increased and costs are lowered.

the pryml approach

1. Generate

Produce a synthetic version of the private data

2. Discover

Synthetic data is organised in libraries and made available via the data hub

3. Deploy

Securely deploy applications to production

One platform across industries

FINANCIAL SERVICES

Financial institutions operate in highly regulated environments, where maintaining ownership of the data is essential to the business. Data leaks and breaches carry significant operational and reputational risks.

Generating synthetic data via Pryml offers a bullet proof solution to stay compliant with regulations yet exceed competition in the build out of innovative business solutions.

INSURANCE

Insurance firms have heavy reliance on risk management and predictive analytics. The models used by industry leaders are all data driven.

Pryml enables secure data sharing and gives insurers access to smart data, corrected for bias, in order to increase predictive modelling accuracy.

TELCO

Telco enterprises are increasingly seen as data powerhouses. The pressure is on to process increased amount of data that is coming with 5G in order to produce meaningful customer insights-like applications.

Pryml synthetic data generator is supporting Telco from secure testing environments to data monetisation marketplaces.

HEALTHCARE

For years healthcare providers have been looking to improve care quality and reduce costs using data. The subject of data confidentiality is of utmost importance when it comes to HealthCare.

Analytics run on synthetic data gives HealthCare entities peace of mind that patient data will never be inappropriately disclosed.

PHARMACEUTICALS

In Pharmaceuticals, analytics is a more and more prominent activity where big data carries industrial secrets and sensitive information.

Pryml enables pharmaceuticals to build predictive models for drug recommendations in RWE (Real World Evidence) context.

With pryml data owners
can keep their data private

From Our Blog

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on the future of confidential data technology and innovation.

On the dangers of sharing data

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Are anonymous data really anonymous

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The need for provenance in machine learning

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