// product · ai lab
Test AI before you trust it with your business.
Augaten AI Lab is a secure, isolated sandbox where your team can run real documents and real questions through AI models and see exactly what comes back — before any of it reaches your customer data, internal systems, or production environment.
// the problem
Most AI adoption starts with a prompt in a public chat tool, and stalls there.
Nobody will approve sending real data to a public AI tool
Legal and compliance are right to say no. Once customer or business data goes into a consumer AI product, you have no control over where it ends up.
A few good prompts do not prove anything
One promising response is not evidence a model will perform reliably on your documents, your edge cases, or your volume — you need a structured way to find out.
No record of what was tried or why
Without a retained history of inputs and outputs, every evaluation starts from zero and nobody can show their working to a compliance reviewer or board.
// what you get
A controlled environment built for evaluation, not experimentation.
The lab gives your team a safe, contained place to answer the question "what will this AI model actually do with our data?" — and keeps a full record while they do it.
Isolated, secure sandbox
Your files and prompts stay inside a contained environment, separate from your production systems and customer data, so evaluation carries none of the risk of a live integration.
Every input and output retained
The lab stores every file uploaded and every response generated, building an auditable record of what was tested, when, and with what result.
Compare models side by side
Run the same document or task across multiple models or providers to see, in practice, which one is actually suited to the job before you commit to one.
A foundation for what comes next
When you're ready to move from evaluation to a real feature, the lab's history of inputs and outputs becomes the starting point for the product we build — nothing from this phase is thrown away.
// why augaten
Built for teams that need to move on AI without moving recklessly.
Privacy-first by architecture
Data handling, retention, and access are scoped and agreed before the first file is uploaded, not decided after the fact.
No vendor lock-in
The lab is model-agnostic, so the outcome of your evaluation is which model fits — not which vendor we happen to resell.
Fixed-scope engagement
Set up as a defined, time-boxed engagement with a clear outcome, not an open-ended subscription.
// questions
Frequently asked questions
Does our data ever leave our control?
No. We scope data handling, storage location, and retention with you before setup, and the sandbox is isolated from any of your production or customer-facing systems. Nothing moves from the lab into your live environment without a separate, deliberate integration step.
Which AI models and providers does the lab support?
The lab is built to be model-agnostic. We configure it around the providers relevant to your industry and compliance requirements, and it supports comparing multiple models on the same task.
How long does a typical AI Lab engagement take?
Most engagements are scoped as a focused, multi-week evaluation against a specific use case — long enough to test properly, short enough to keep momentum. We agree the scope and timeline in the first scoping call.
What happens once we know which model works?
The evaluation record becomes the specification for the next phase — whether that is a custom integration, an internal tool, or a customer-facing AI feature — so you move straight into build without re-doing discovery.
See what AI actually does with your data.
Book a free 1-hour consultation and we will scope a sandbox evaluation around your highest-priority use case.