The platform for federated & privacy-preserving data science

Securely analyze data from multiple parties while keeping proprietary information private

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HOW IT WORKS Collaborate securely on AI and analytics

Apheris is a platform for federated and privacy-preserving data science that lets you securely collaborate on AI and analytics without ever sharing data.

Privacy & Security

Full Data Science Workflow

Federated Architecture

FEATURES

Privacy

Implement privacy-by-design in your collaborations and enable AI on sensitive data.

Compliance

Reduce risk and accelerate time-to-market with streamlined compliance frameworks and processes.

IP Protection

Leverage the full potential of partnerships without ever compromising the IP of any data or model.

POSSIBILITIES One simple platform for your most secure data collaborations

Below are the various ways that your data collaborations can take shape

Internal
Collaborate across geographies

BENEFITS 1. Unlock combined insights 2. Empower truly secure data collaboration 3. Scale AI and capture exponential returns

One-to-One
Collaborate with external partners

BENEFITS 1. Combine knowledge to power more valuable AI 2. Establish trust and confidence in partnerships 3. Change the ways you compete in the future

One-to-Many
Collaborate with multiple partners

BENEFITS 1. Create new revenue-generating business models 2. Mitigate risk and leverage data for meaningful AI 3. Outpace competition and accelerate growth

Data Ecosystem
Build data collaborations of global scale

BENEFITS 1. Reach economies of scale by spreading profits & costs 2. Stay up to date with legislation 3. Operationalize AI and lead your industry

Our CEO Robin explains how Apheris can help you to unlock the full potential of your data

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How our platform works




1
Data Owners connect data
Data Owners connect data
2
Data Scientist develops model
Data Scientist develops model
3
Privacy approval
Privacy approval
4
Federated and private training
5
Model release
Model release
6
Extract value & get insights
Extract value & get insights
1
Data Owners connect data
Data Owners connect data

Data Owners connect data

  • Connect any type of data to the Apheris Platform
  • Data always stays in full control of the Data Owners
  • Privacy technologies and automated policy enforcements guarantee full data protection
2
Data Scientist develops model
Data Scientist develops model

Data Scientist develops model

  • Data Scientist requests to see a virtual dataset
  • Apheris creates a virtual dataset that resembles the Data Owners’ data but does not contain any sensitive information
  • The Data Scientist develops an analytics request (often an AI Model) on the virtual dataset
3
Privacy approval
Privacy approval

Privacy approval

  • The Data Scientist's model is sent to the Apheris Privacy Guard
  • Apheris performs a privacy assessment and adds privacy measures prior to approval for computation
4
Federated and private training
Federated and private training

Federated and private training

  • The model is trained in a federated setup on multiple datasets of different Data Owners
  • All results are iteratively aggregated in one global model
5
Model release
Model release

Model release

  • The trained model gets released to the Data Scientist and / or Data Owners (depending on their contractual agreement)
  • Privacy of the data is fully preserved
6
Extract value & Get insights
Extract value & get insights

Extract value & get insights

  • Receive entirely new insights to benefit your business
  • Integrate new models into your current workflow and make your data science projects successful
  • Monetize your data and build data partnerships
  • Improve your R&D through collaborative data science projects

Create data science workflows with built-in privacy protection

Apheris enables the secure analysis of data across organizations while keeping proprietary information private. Computations are executed locally – meaning data never leaves the local environment and data privacy is preserved throughout the entire process. We use cutting-edge technologies to provide mathematical guarantees for privacy preservation.

Secure multiparty computation

Compute a joint function on multiple private inputs, where no party learns anything extra about any of the other parties' inputs.

Our awesome features
Differential privacy

Introduce random noise into results of queries on underlying confidential data, so that observers cannot reconstruct the original data.

Our awesome features
Privacy-preserving record linkage

Match data records that belong to the same entity (e.g., person) without revealing the identity of the entity.

Our awesome features
Homomorphic encryption

Encrypt data so that computation is possible on the ciphertext – the decrypted result should match the computation on the plaintext.

Our awesome features

Ready to accelerate your collaborations

Illustration of a privacy preserving data ecosystem with Apheris
Traceability & Auditability

Apheris services ensure tracability of all statistics and ML operations across partners to comply internally and with GDPR or other laws and regulations.

Enterprise scalability

The Apheris Platform has been designed and built to have architecture specialized for big data processing and can support cloud, multi-cloud, and hybrid environments.

Enterprise-grade security

With industry-wide highest security standards, the Apheris Platform has been proven to protect enterprise grade-datasets at the world’s largest organizations.

Proven results in weeks, not years:

vertical bar with time estimation for each implementation step

Interested in Secure Multi-Partner Data Collaborations for your industry?

Get in touch with our AI specialists for a scoping session