Quantifeye · Sovereign AI
Intelligence at scale. Control where it matters.
Analyze millions of records without runaway AI bills or uploading your entire database to AI providers. Quantifeye connects analysis, predictions, reports, and action within an agreed commercial and deployment scope.
What Sovereign AI means
Useful AI, shaped around your operating boundaries.
Sovereign AI is our approach to enterprise intelligence: work at the scale of your information, know what your service includes, and choose where the solution and AI run. Quantifeye remains an operational platform—not just a chatbot or a report generator.
GB and millions of records
Agreed fee, no surprise charges
No need to upload your entire database to AI providers
Fee and capabilities depend on the contracted scope.
How we work with you
From a business question to an operating decision.
We define the scope before implementation. That keeps data access, service costs, and deployment expectations explicit from the start.
Define the use case
Identify the question, sources, approximate volume, users, and the outcome your team needs to improve.
Connect with control
Connect authorized sources and agree where the application, data, and AI run, who has access, and what may be shared.
Connect insight to action
Turn analysis, predictions, and reports into priorities, tasks, and follow-up that teams can act on.
Clear commercial terms
Your data can be enormous. Your bill does not have to be.
With usage-based AI, costs depend on use and implementation. With Quantifeye, you agree on the capabilities, volume, and service your operation needs: a clear fee, without an unexpected additional bill for tokenizing your database within the contracted scope.
Direct integration with usage-based AI APIs
For example, OpenAI or Claude services.
Quantifeye
Billing
Handling the entire database
Business solution
This compares contracting models and direct bulk upload, not chat subscriptions or every architecture possible with those providers.
Fee based on scope
Your service inclusions are defined up front. Implementation, special development, infrastructure, local deployment, or later expansions are quoted and agreed before you contract them.
A real-scale example
Enterprise scale, with real data.
Analytical evaluation in the pharmaceutical sector, including purchase recurrence, segmentation, and loyalty-program opportunities.
Figures from the case analyzed. Each implementation's scope and capabilities depend on its sources and needs.
Data sovereignty
Choose the boundary that fits your business.
There is no single hosting answer for every organization. The application, data, and AI model are scoped according to the project requirements.
Managed SaaS
Use Quantifeye as a managed cloud service under agreed data-handling conditions.
Customer cloud
Deploy in your cloud environment, aligned with the access and governance controls set for the project.
On premises with local AI
For local processing, the full solution—including the AI model—can run in customer infrastructure with agreed sizing and scope.
Bare metal
A path for specific infrastructure, isolation, or operational-control requirements.
Installing the application locally does not automatically make the AI local. A fully local configuration must explicitly include the AI model in customer infrastructure.
FAQ
Frequently asked questions
Can Quantifeye analyze millions of records?
Yes. Quantifeye works with large volumes of enterprise data to generate analysis, reports, and predictions. Scope is defined by the sources, volumes, and use cases of each project.
Will I get additional token charges?
The contracted service has an agreed fee, without an unexpected additional bill for tokenizing or analyzing data included in that scope. Expansions are quoted and agreed beforehand.
Must I upload my entire database to OpenAI or Claude?
No. You do not need to upload your entire database to those providers to use Quantifeye. Data-handling conditions depend on the deployment model and project agreement.
Does my data always remain on my own servers?
It depends on the deployment model. You can choose managed SaaS, customer cloud, or a local solution. If AI must also run locally, that configuration is explicitly included in the project.
Does a fixed fee mean unlimited use?
No. It means clear pricing for an agreed scope. Sources, capabilities, volumes, and service conditions are defined up front.
Does it only produce reports, or can teams act on the results?
Quantifeye can also connect analysis and reports to tasks, priorities, and operational workflows—for example, identifying a risk and initiating follow-up, as configured for the project.
Start with your use case
Bring us a real business question.
Tell us what you need to analyze, where your data lives, and which controls matter. We will evaluate the scope, deployment, and fee with you.
Request a demo with my use case