Build, manage and consume Intelligent Data Products
Deliver self-service data products at scale, with built-in context, reasoning and governance for every team, agent and app.
Rapidly deliver MDM as Intelligent Data Products at scale
See how the Semarchy Data Platform turns master data into self-service data products with built-in context, reasoning and governance.
Design Once, Consume Anywhere
DataOps + AI data engineering accelerate creation of data products consumable by teams, agents and apps at scale.
Intelligence Built In, Not Layered On
Business context, relationships, and instructions to reason are embedded with master data in each data product. No drift.
Persistent Governance, Enforced Everywhere
Transparency builds trust: quality, access rights, lineage, and certification history travel with every data product.
What are Intelligent Data Products?
A data product is a curated, reusable asset (usually golden records) for specific business needs. Built-in context, reasoning, and governance so teams, agents, and apps can self-serve at scale make them intelligent.
Essential for the agentic enterprise
Semarchy data products are the control plane for teams, agents and apps to discover, access and consume trusted data at scale.
One product, multi-persona
Deliver the same trusted data product for everyone, not copies per team, eliminating duplication, inconsistent logic and unmanageable drift.
Built for consumption
Every persona – business users, stewards, developers, AI agents – gets personalized interfaces but share one set of semantics, context and rules.
Enable scalable, self-serve discovery and consumption
Give the organization one home for every data product, augmented with business context, semantics, certifications, lineage, ownership and APIs.
Seamless self-service
One access point for every user: a web experience to discover data products, plus API and MCP endpoints to connect apps and agents to golden data.
Manage and govern
Every data product has a designated owner, defined policies and access controls, so teams curate and share faster without bypassing governance.
For business users, stewards and analytics teams
Search, understand and access data assets in the Data Product Catalog. Each data product generates multiple role-based data apps without rework.
Intuitive data apps
Role-based CRUD access to underlying records, with business-friendly views, search, documentation and guided workflows that enforce data policies.
Embedded AI agents
Embedded AI agents are policy-aware, governed and grounded in the data product’s semantic model. All agent actions are logged and fully auditable.
For enterprise applications and developers
Connect applications directly or build new solutions from governed data products, orchestrating ERP, CRM and PIM processes in real time or batch.
Generated APIs
Data products automatically generate high-throughput, low-latency REST APIs and self-updating docs with governed access controls for developers.
Flexible integrations
Bring your existing ETL tools, or use our low-code data integration solution with 80+ prebuilt connectors powered by native ELT technology.
For data scientists, AI/ML engineers and AI agents
Explore data products that are explainable, contextual and fit for experimentation, model training or production, in human and agent-native formats.
Power AI/ML models
Cut data cleaning time and improve feature engineering with a continuous, governed pipeline of golden data grounded in your historical data and IP.
RAG apps, MCP endpoints
Give AI apps and agentic workflows governed, real-time context (RAG) for accurate inference, and MCP endpoints to control agent actions.
Build, govern and deliver at scale with DataOps
Data product delivery turns unmanageable as needs evolve and efforts duplicate. Scale it with our agile, DataOps-centric approach in SDP.
Build once together
Build data products collaboratively in real time with our DataOps-driven design experience (DXP), using data engineering tools teams already trust.
Deliver, reuse everywhere
Meet business demand with less development overhead, via governed, shareable and reusable components across teams, domains and regions.
Data Products run in your data cloud ecosystem
Deploy where your data already lives – Snowflake, Microsoft Fabric or both – powering Streamlit apps, Power BI or custom agents without moving data.
Natively in Snowflake
Semarchy is the only MDM platform that runs natively in Snowflake, powering Streamlit apps, notebooks, Cortex AI and Snowflake Cowork with trusted data.
Microsoft Fabric
A Microsoft preferred MDM vendor: govern data products in Purview, sync semantic models in Fabric for Power BI, Copilot or Foundry agents.
Enterprises across industries are leveraging DataOps in SDP to scale their data product delivery, increase agility and speed time to trusted insights.
James Wilson
VP of Analytics and Enterprise Solutions, Rexel USA
Hogan Le
Senior Manager, Governance and BI Systems, Chipotle
Explore and learn more
From blog posts to product guides and everything in between, we’re here to help you along your data journey.
