DataReadyAI is priced on Value Units (VUs), a single usage-based measure across ingestion, transformation, agents and activation. Start on Launchpad or Accelerate and scale to Sovereign as adoption deepens. No per-seat penalties, no rip-and-replace.
Built for land-and-expand. Most customers begin on Launchpad or Accelerate and scale to Sovereign as their AI adoption deepens.
For teams getting started with AI-ready data.
For teams scaling AI across the business.
For enterprises operating at full scale, with full sovereignty.
Excludes underlying cloud and platform costs. Multi-year terms: 2-year commitment receives 10% platform discount, 3-year commitment receives 18%. All figures shown are illustrative for reference only. Commercial terms are confirmed at contract execution and vary by client scope, sector and scale.
Value Units replace the tangle of per-connector, per-seat and per-query line items with a single, predictable measure of what you actually use.
Every plan includes a monthly VU allocation. Ingestion, transformation, semantic modelling, agents and activation all draw from the same pool, so there is one number to forecast, not ten.
If you exceed your monthly allocation, additional usage is charged at a flat $0.03 per VU. No surprise tiers, no renegotiation mid-quarter.
Two-year commitments receive a 10% platform discount, three-year commitments 18%. Underlying cloud and platform costs are billed separately.
Every tier ships the complete DataReadyAI capability set. The difference is scale: how many roles, agents and automations you run, and the depth of support and sovereignty you need.
Access control, lineage and an immutable audit trail on every interaction, with SSO and RBAC / ABAC included at every tier.
Deploy on your own cloud analytics platform, Databricks, Snowflake or BigQuery, on any cloud, and across the language models you choose, with no lock-in.
An optional outcome pricing layer aligns a portion of cost to delivered business value, available on every tier.
We will map your environment, estimate your VU profile, and show the deployment timeline before you commit to anything.
