Using the platform means accepting the framework
If you use AI Studio, you are agreeing to the way the platform is provided and governed, including related commercial terms where relevant.
AI Studio is for analytical and professional use
The platform is built for research, analytics, interpretation, diagnostics, modelling, and decision-support workflows — not misuse, disruption, or misleading use.
Your data and your business decisions remain yours
We provide the tools and workflows. You remain responsible for the data you submit, the rights you hold, and the actions you take from outputs.
What acceptance means here
You do not need a dramatic click-through moment for the platform relationship to matter. If you access and use AI Studio, the expectation is that you accept the basic operating framework under which we provide it — including usage boundaries, product behaviour, and the limits of what the platform is intended to do.
What this framework may include
- General platform terms like these.
- Commercial or enterprise arrangements where applicable.
- Tool-specific or workflow-specific conditions when relevant.
Use of the platform is not detached from the rules around it. Access and use go together with acceptance of the operating framework.
If there is a specific enterprise agreement in place, that agreement may shape how these terms apply in practice.
Typical intended use cases
- Analytics and research workflows across brand, pricing, CX, VOC, and diagnostics.
- Business interpretation, structured modelling, visualisation, and insight development.
- Internal team use, client work, or enterprise workflows where access is properly authorised.
Why we define intended use clearly
A platform like AI Studio can sit close to important decisions. So we want users to approach it as a professional environment — one that supports structured thinking and faster work, but one that still requires competent interpretation and responsible handling.
- Use the tools for legitimate work.
- Bring in data you are actually allowed to use.
- Interpret outputs with business judgement before acting.
AI Studio should accelerate serious work. It should not replace seriousness.
What is not allowed
- Using the platform for unlawful, fraudulent, abusive, infringing, or misleading purposes.
- Uploading data you do not have the right to disclose, process, analyse, or share.
- Attempting to disrupt, probe, bypass, reverse engineer, or compromise the platform or its controls.
- Presenting outputs as infallible facts when they still require review, validation, or contextual interpretation.
Why this matters
Most misuse problems are not caused by the model or the interface. They come from bad user behaviour around rights, interpretation, and intent. So the platform relationship depends as much on user conduct as it does on technical design.
Before uploading anything, ask: do I have the right to use this here, and am I using the platform for a legitimate analytical purpose?
Do not use AI Studio as a shortcut around consent, access rights, or professional review.
Ownership logic
- Platform IP: AI Studio, its interface, workflows, product methods, and assets remain with Pvalue Analytics or its licensors.
- User data: the data you submit remains with you, your company, or the relevant rights holder.
- Outputs: generated outputs are created from your use of the platform, but that does not transfer ownership of the platform itself.
Why this structure is fair
This model reflects how serious software products work. You bring your data, your questions, and your business context. We provide the tool environment, processing logic, and product infrastructure. Both sides keep ownership where it naturally belongs.
Your data is not ours. The AI Studio product is not yours. Outputs sit in between and should be read in the commercial and practical context of your use.
Using a platform does not mean acquiring the platform.
Why change is normal
Product evolution is part of responsible software delivery. We may improve tools, adjust formats, refine workflows, redesign interfaces, introduce new plans, or deprecate lower-value features when needed. That is a sign of active stewardship, not instability by itself.
What users should expect
- Product improvements and refinements over time.
- Possible changes to tool availability, UI, outputs, plans, or workflows.
- No guarantee that every feature will remain exactly as it appears today.
The platform may evolve, but the core expectation remains the same: we are providing an analytical product environment, not freezing every detail forever.
Use the platform with the understanding that good products improve — and improvement sometimes changes the interface or feature set.
What stays with you
- Checking whether the input data is accurate, complete, and appropriate.
- Reviewing outputs before internal or external circulation.
- Applying business judgement instead of relying blindly on automation.
- Taking responsibility for decisions, actions, and consequences downstream.
Why we say this plainly
The biggest risk in tools like these is not that they are useless — it is that users may over-trust them. We would rather say clearly that AI Studio is there to support decision-making, not absorb accountability on behalf of the user.
AI Studio can strengthen judgement. It does not replace ownership of judgement.
Use the platform seriously, review outputs properly, and keep final responsibility where it belongs — with the human user and their organisation.