ENFRES

DATA SOVEREIGNTY & PREDICTIVE AI

Your data.
Your deployment choices.

Put your business records to work while keeping control of where prediction runs.

Neurytika can run on your own infrastructure and process your tabular data locally. Keep datasets, models and explanations in your environment, with expert support to shape the installation and integration around your organization’s requirements.

Local processing · Inspectable evidence · Software + implementation

A PREDICTION WORKFLOW IN YOUR ENVIRONMENT
YOUR CHOSEN INFRASTRUCTURE
Your business recordsCustomer, transaction or production data
NeurytikaLocal model building and prediction
Results for your teamPredicted categories + supporting patterns

Your IT team and business users define the operating workflow with us.

Choose where processing runsKeep the evidence visibleDefine the operational responsibilities

FROM SOVEREIGN AI STRATEGY TO A CONCRETE PROJECT

Make control
a deployment decision.

A sovereign AI strategy brings data, models, infrastructure and operations into the same conversation. For a prediction project, start with where the records are processed, who operates the environment and how the results are used.

Neurytika supports that approach through local processing and a workflow built around your structured data. We work with your business and IT teams to define the environment, integration and responsibilities for your project.

Processing location

Choose your own infrastructure or an agreed hosting environment. Define where datasets, models, results and backups belong.

Operating arrangements

Agree who manages the installation, which users need access and how support, updates and maintenance fit your organization’s processes.

Data flows

Map the records entering the model and the predictions returning to your systems. Include interfaces and any agreed support exchanges in the project scope.

Visible model evidence

Inspect feature combinations, support counts and contributing patterns so analysts and domain experts can examine the basis of a prediction.

TWO DEPLOYMENT PATHS

Choose the environment
that fits your requirements.

ON YOUR INFRASTRUCTURE

Keep processing in-house.

Install Neurytika within your organization and run the prediction workflow locally. Your records and models stay in the environment chosen for the project.

  • Local data preparation, model building and prediction
  • Integration with internal data and review workflows
  • Installation and operating scope agreed with your IT team
Explore on-premise implementation ↗
YOUR SELECTED HOSTING ENVIRONMENT

Choose the hosting and operators.

If your organization prefers cloud hosting, we scope the Neurytika deployment around your selected environment. Your teams define the location, provider and operating requirements to address.

  • Hosting choices aligned with your project requirements
  • Agreed data flows and operational responsibilities
  • Software integration and user training in the implementation scope
Discuss your deployment

BUSINESS VALUE, WITH DATA CONTROL

Bring the prediction
to the records you already hold.

Transactions, claims and files

Build a classification workflow for fraud review using structured records and historical investigation outcomes. Help reviewers examine the reasons for referral.

Explore fraud review ↗

Production and quality records

Use recorded measurements and inspection history to classify quality outcomes. Keep the prediction workflow close to your production data and quality experts.

Explore quality predictions ↗

SOFTWARE + DEPLOYMENT CONSULTING

Define your requirements.
Build the workflow.

Start with one business objective and the environment where the records should be processed. We scope data preparation, model evaluation, software installation, integration and training with your teams.

The proposal sets out the software and implementation work, together with the agreed maintenance and support arrangements.

Discuss your deployment

Bring these questions to the first conversation.

  • Which outcome should the model predict, and who uses it?
  • Where should records, models, outputs and backups be stored?
  • Who will host and operate the environment?
  • Which systems and interfaces need to connect?
  • What access, support, update and continuity requirements should the deployment address?
Explore software and consulting ↗

Your deployment
questions, answered.

Can Neurytika run without a cloud service?

Yes. Neurytika can be installed on your infrastructure to process structured records locally. We scope the installation and integration with your IT team.

What does data sovereignty mean for a prediction project?

It means defining the authority and requirements governing your data, together with choices about processing location, operators and data flows. We translate your organization’s deployment requirements into a concrete software and implementation scope.

How does Neurytika support a sovereign AI strategy?

It gives your organization a local deployment option for prediction on tabular data, with models and explanations in the chosen environment. Your project defines hosting, access arrangements, operations and integration with your teams.

Can we use a hosting provider selected by our organization?

Yes. We can scope a cloud deployment in your preferred environment. Your organization sets the provider and operating requirements, and we define the software installation and integration work around that choice.

What makes the prediction inspectable?

Neurytika uses the Evidence Ratio Classifier (ERC). Your team can inspect contributing feature combinations and their statistical support in the training data. Read the open-access research paper for the method and published experiments.

UNDERSTAND THE BROADER CONCEPTS

Explore the wider relationship between data, infrastructure and operational control: IBM’s introduction to AI sovereignty and data sovereignty.

YOUR BUSINESS OBJECTIVE. YOUR DEPLOYMENT REQUIREMENTS.

Put prediction to work.
Keep control of the environment.

Tell us what you want to predict, where your data should be processed and which teams will use the results. We will define the next step for a demonstration or tailored implementation proposal.

Discuss your deployment

You can describe your requirements before sharing a dataset. FormSubmit forwards your message to our sales team.