Platform

The private intelligence layer that turns scattered business knowledge into instant, trusted answers, securely inside your Azure environment.

How the platform works

A simple flow that turns raw information into usable, trusted answers.

Step 1

Connect

Connect to the systems you already use, including documents, spreadsheets, and structured sources. Keep context through metadata like department, location, type, and owner.

Step 2

Understand

Information is structured, indexed, and understood in context, preserving meaning, source, and permissions.

Step 3

Assist

Teams interact through natural language, receiving clear, cited answers and support for next steps like review, export, and sharing.

What this unlocks: a reusable intelligence foundation that can power multiple domain modules without compromising privacy or governance.

Built on clear principles

The difference between “an AI assistant” and something you can run inside real operations is governance, reliability, and control.

Private by design

Data and AI stay inside your boundary. Designed for tenant isolation, access control, and auditability.

Cited and verifiable

Answers link back to the exact source file and excerpt so teams can confirm what’s true, and share it safely.

Modular by default

One platform supports multiple domain modules, including knowledge, SHERQ, inventory, and contracts, without rebuilding the foundation.

Works with your stack

Integrates with the systems you already run. Aveya adds an intelligence layer rather than forcing replacement.

Architecture and deployment

Aveya is designed to run privately within Azure and align with existing identity, security, and compliance controls.

  • Tenant isolation, clear boundaries between organisations and workloads
  • Access alignment, supports your governance model and permissions
  • Azure-native, designed to fit modern Azure environments and deployment patterns

Want the technical view? We can walk through deployment options and the architecture model in a short call.

Deployment & security
Designed to fit your Azure environment
Tenant isolated
Clear boundaries and permission-aware access.
Organisation-level isolation
Permission-aware retrieval
Audit-friendly access patterns
Encrypted and governed
Protected movement with controlled output.
Encrypted at rest and in transit
Citations back to source material
No model training on your data
Aveya runs privately in your environment. Same deployment model and security posture across every module.

Security and privacy

Simple, explicit guarantees that matter in production environments.

What stays true

  • Customer data remains within the customer boundary (tenant or isolated deployment).
  • Answers are grounded in your sources with citations.
  • Aveya does not train shared or external models on customer data.
  • Ownership and access boundaries remain clear and enforceable.

What Aveya avoids

  • No “black box” answers without sources.
  • No forcing new systems or replacing your tools.
  • No hype-first AI positioning, focus stays on trust and outcomes.

Example questions

The kinds of queries the platform is designed to answer, across modules.

“Where does it say X in the policy, and what are the steps?”

“Which incidents match this pattern, and what actions were taken?”

“Which stock items are running low across locations?”

“What’s changed between these two versions of the procedure?”

“Show me the latest approved SOP and cite the source.”

“What are the approval requirements for this type of request?”

One platform. Multiple intelligence modules.

The Aveya platform powers a growing set of intelligence modules, each designed for real operational use cases.

Knowledge assistant

Instant, cited answers across internal documents, policies, and SOPs, without rework.

SHERQ intelligence

Compliance clarity grounded in your safety, quality, and audit documentation.

Inventory intelligence

Practical answers across spreadsheets and systems for day-to-day visibility.

See the platform in your environment

We’ll walk through your data sources, deployment options, and the best starting module, then map a practical pilot.