Partners are already being asked to deliver AI.
Most end up stitching together tools, infrastructure, and governance themselves - or avoiding it altogether.
Why partners choose Aveya
Take private intelligence to market without building it yourself.
Private by design
Deploy inside the client's Azure environment with the control enterprise buyers expect.
Faster delivery
A client asks you to deliver private AI on their data.
Without Aveya
Months of scoping infrastructure, governance, and retrieval.
With Aveya
Deployed inside their Azure tenant in days. You focus on the use case, not the platform.
Faster delivery, with less platform overhead.
Built for your model
White-label, embed, or lead delivery your way while keeping the client relationship.
How partners work with Aveya
A simple model for partner-led delivery.
What partners can deliver with Aveya
Private intelligence your clients can actually use.
- Grounded answers across documents, spreadsheets, policies, and contracts
- Structured outputs with evidence attached
- Private Azure-aligned deployment clients can approve
- Repeatable delivery across knowledge and operational workflows
- A platform you can brand, embed, or package as your own offer
Proof from the field
Already run inside a production Azure tenant.
Six-month pilot. Real enterprise data. Live operational use cases.
That's what you take to your clients. Not a concept. Not a prototype. Something already used in the environment they care about.
Partners
Discuss a partner model
See how Aveya fits your delivery model, client environment, and how you want to take it to market.
- White-label or embed
- Private Azure deployment
- Keep the client relationship