Processing location
Choose your own infrastructure or an agreed hosting environment. Define where datasets, models, results and backups belong.
DATA SOVEREIGNTY & PREDICTIVE AI
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
Local model building and predictionYour IT team and business users define the operating workflow with us.
FROM SOVEREIGN AI STRATEGY TO A CONCRETE PROJECT
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.
Choose your own infrastructure or an agreed hosting environment. Define where datasets, models, results and backups belong.
Agree who manages the installation, which users need access and how support, updates and maintenance fit your organization’s processes.
Map the records entering the model and the predictions returning to your systems. Include interfaces and any agreed support exchanges in the project scope.
Inspect feature combinations, support counts and contributing patterns so analysts and domain experts can examine the basis of a prediction.
TWO DEPLOYMENT PATHS
BUSINESS VALUE, WITH DATA CONTROL
Use account history to classify churn or conversion outcomes. Give commercial teams supporting patterns in a workflow deployed in your chosen environment.
Explore customer retention ↗Build a classification workflow for fraud review using structured records and historical investigation outcomes. Help reviewers examine the reasons for referral.
Explore fraud review ↗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
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 deploymentYes. Neurytika can be installed on your infrastructure to process structured records locally. We scope the installation and integration with your IT team.
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.
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.
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.
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.
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 deploymentYou can describe your requirements before sharing a dataset. FormSubmit forwards your message to our sales team.