Build
Build and manage the full data product lifecycle, accelerated by AI coding agents at every stage.
See Full FeaturesData teamsBusiness, technical and AI roles
Business & domain experts
Data engineers
AI agents
design·implement·test·deploy·operate·retire
Enterprise Operating Model
Shared rules for every data product
Every data product moves along the same path, from first design to retirement, with versioning and ownership at each step.
- Scaffold new products from approved blueprints
- Versioned releases with automated deploy and rollback
- Controlled deprecation so consumers are never surprised
Governance written as code and checked automatically, so compliance is part of the build rather than a review at the end.
- Checks run at deploy time and while products are live
- Non-compliant releases are blocked with a clear reason
- Data contracts, ownership and sensitivity rules in one place
Reusable building blocks that encode your standards, so people and agents start from what already works.
- Templates for each data product and component type
- Skills that let AI agents work within your rules
- Adapters that provision resources on each platform
govern·standardise·orchestrate
Your existing stack
Snowflake
Databricks
Azure
On-prem
Whatever you run
Scania's Journey in Navigating and Implementing Data Mesh
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Learn about Scania’s journey implementing a data mesh to improve delivery and business outcomes.
Poste Italiane's Journey from Monoliths to Data Products
Watch how Poste Italiane pivoted from monoliths to domain-driven data products.
Scania's Decentralized Approach to Data Products
Discover how Scania's decentralized approach led to key growth within their business units.
