Independent evaluation
Evidence before confidence.
A convincing answer is not necessarily a reliable one. zenture checks reasoning, sources and task completion, so you can see what holds up and what still needs attention.
Why zenture
Reliability should be independent.
zenture checks AI work independently of the model that produced it. See the evidence and uncertainty before you decide.
Explore the productAn independent check. An engine of its own.
Built by zenture
Four parts. One evaluation.
Our verification algorithms, data and configurations work with an open-source model that we host, configure and deploy. Our own infrastructure brings these parts together into an evaluation you can inspect.
Your context carries forward.
Context and learning
Start with what you already know.
Your task, evidence and prior learnings stay connected. Future evaluations build on that context, and the knowledge you develop remains useful when you change AI tools.
Privacy
Private by default.
Your conversations, context and learnings remain private. They are not used for model training without your explicit consent.
One method. Wherever you work.
Across providers
Your tools can change. Your standard stays.
Use zenture in ChatGPT, Claude or through the zenture client. Evaluation is independent of the provider that generated the answer. Explore integrations to find the right connection for your workflow.
Organisation · Future direction
Shared context, clear ownership.
We are exploring how approved context and learnings can be reused across an organisation, with explicit roles, access and ownership.