Calm intelligence for real organisations.

Private, Azure-native AI designed to work inside business environments, not public platforms.

What Aveya is
A private intelligence layer that works inside your environment. Modular, partner-ready, and grounded in verifiable answers.
Private by default. Built on Azure. Designed for enterprise reality.

Our vision

Businesses are drowning in information: documents, spreadsheets, systems, and dashboards. Yet they still struggle to get clear answers when they need them.

Most AI tools weren’t designed for this. They assume shared infrastructure, generic assistants, and limited control. That works for consumer productivity. It doesn’t work for business operations.

Aveya exists to change that. We’re building Private Business Intelligence Assistants. AI systems that run privately inside an organisation’s environment, understand its data, and deliver answers people can trust.

Not public AI. Not black boxes. Not generic assistants.

What we believe

Private by default
Business data and AI should stay inside the organisation’s environment, always.
Grounded and verifiable
Intelligence only matters if people can trust it, verify it, and act on it with confidence.
Built to partner, not lock in
Designed to be embedded, integrated, or branded, supporting partners and real-world delivery models.

The team behind Aveya

Aveya is built by a small, senior team with deep experience across enterprise systems, data platforms, and Azure-native architecture.

We’ve spent years working inside complex organisations, dealing with compliance, fragmented knowledge, and operational reality. Not just building demos.

That experience shows up in how Aveya is designed: private by default, modular by design, deployable in real environments, and built to earn trust.

We keep the focus on the work: the platform, the deployments, and the outcomes, rather than personal profiles.
Designed to earn trust
Calm, credible, and verifiable by design, with privacy and control at the centre of every deployment.
Built on Azure. Deployed privately. Working with you.