DataReadyAI is a governed layer that sits above the data platform you run, with cloud and model providers of your choice. It turns fragmented enterprise data into a unified consistent semantic layer that any model and agent can act on safely, with access control, lineage and audit on every interaction. The result is production-grade AI delivered in weeks, not years.
DataReadyAI sits between your enterprise data estate and AI consumption layer, automating the work that currently requires armies of consultants.
Automatically scans, tags, and unifies data across all enterprise source systems, resolving inconsistent naming, conflicting business logic, and fragmented schemas into a single, governed semantic model.
Routes workflows, model calls, and agentic automations across the unified semantic layer. Model-agnostic and cloud-agnostic, works across Databricks, Snowflake, AWS, Azure, and GCP.
Enforces data policies, maintains complete audit trails, validates AI outputs against compliance controls, and certifies production-grade activation. Governance that strengthens over time, not decays.
The control plane runs as a continuous flow. Each layer hands the next a cleaner, more trustworthy version of your enterprise, so governed AI reaches production without a multi-year rebuild.
DataReadyAI reads every source system, CRM, ERP, billing, operational databases and data lakes, then resolves inconsistent naming, conflicting business logic and fragmented schemas into a single governed semantic model.
The semantic layer is generated automatically, not hand-built by consultants over many months. Definitions stay consistent across domains, so every downstream model reads the same trusted version of your business.
A platform-agnostic agent harness routes model calls, workflows and agentic automations across the semantic layer. It is model and cloud agnostic, working across Databricks, Snowflake, AWS, Azure and GCP.
Access control, lineage and a complete audit trail are enforced on every interaction. Governance sits in the path of execution, so it strengthens as you scale rather than decaying the moment a project team rotates off.
Governed AI is deployed onto your own cloud analytics platform, Databricks, Snowflake or BigQuery, on whichever cloud you already run. You leverage your current investments and partnerships.
Outputs are validated against your compliance controls before they are actioned, including surfacing to dashboards, AI agents, autonomous automations, and business applications. A governed semantic layer powers a production-grade activation with your organisation’s enterprise access controls and full auditability.
DataReadyAI is a control plane, not another platform to migrate onto. It inherits the investments and the controls you already have, and adds the governed layer your AI initiatives are missing.
Run the same governed control plane across AWS, Azure and GCP, and activate on Databricks, Snowflake or BigQuery, whichever your teams already use. No preferred cloud is forced on you, and there is no second copy of your estate to maintain.
Route to any model, commercial or open, and change your mind later. As models evolve you swap the engine without re-plumbing your data or rewriting governance, so you keep optionality instead of committing to a single vendor.
Continuously monitors new data sources entering your business landscape, from new rollouts, acquisitions and similar changes, and hydrates the semantic intelligence layer so they are available to downstream agentic processes. It detects, analyses and runs root-cause analysis on pipeline failures, and proposes fixes automatically before they reach business users.
The platform inherits your existing access controls and applies lineage, policy and audit to every interaction. Governance is enforced continuously in the path of execution, ready for the evidence an EU AI Act, APRA or MAS review will ask for.
Bring a domain you care about and we will show you the semantic layer, the governance and the activation path, mapped to your systems.
