Data platforms built on a semantic core
Semcore designs the semantic layer that sits above your data platforms and beneath your AI products—aligning pipelines, warehouses, metrics, and documents so every dashboard, app, and assistant speaks the same language.
Semantic data platform
Instead of stitching tools together at the API layer, Semcore helps you define a semantic core—entities, relationships, and metrics—that unifies your data layer. A semantic platform that analytics and AI products can plug into cleanly.
Faster. Smarter. Built on a semantic backbone.
Data and AI teams lose time translating schemas into business concepts on every project. Semcore establishes a semantic backbone over your platforms so new data products, analytics views, and AI services assemble from shared components.
Optimized for platform‑wide consistency
Define once how core entities—customers, accounts, portfolios, products—are represented, calculated, and accessed across all tools. Your semantic core enforces consistent meaning from SQL to dashboards to AI prompts.
Extensible
As new sources land in your lake, your semantic model evolves in a controlled way, while the ecosystem grows.
Infinite options
With a semantic core in place, platform teams can expose reusable, governed data products that power BI, operational apps, and AI agents.
Filters
Expose semantic filters—region, segment, lifecycle stage, risk band—so platform consumers slice data in business terms, not raw table partitions.
Configurable
Configure retrieval and transformation patterns per domain while still inheriting shared semantic definitions and guardrails.
Authorization
Centralise access logic at the semantic layer so every app, dashboard, and AI endpoint enforces consistent permissions across your platform.
Management
Give teams a clear map from semantic concepts to sources, pipelines, and AI consumers, making ownership and change impact obvious.
Building
Enable product teams to build new data and AI experiences on top of semantic APIs, feature stores, and RAG endpoints exposed by the platform.
Identify reuse opportunities across data and AI
By mapping data products, metrics, and AI use cases back to your semantic core, Semcore reveals where the platform can offer shared services—entity resolution, canonical metrics, context APIs—that multiple teams can reuse.
Why trust Semcore?
Semcore is designed for organisations building data platforms as products. The focus is on creating a semantic core that your lakehouse, warehouse, and AI stack can share—so platform teams deliver consistent capabilities and domain teams innovate on top.
Discussions
Domain‑driven discovery sessions translate business language into semantic models that platform teams can implement and AI systems can consume.
Team views
Platform engineers, data product owners, and AI practitioners each get views of the same semantic core tuned to their workflows, while staying anchored in one source of meaning.
Powerful search
Semantic search over entities, metrics, and lineage helps teams find the right data products and context services to build on, reducing duplication.
Analytics
Align analytics models and semantic metrics so BI and AI outputs reinforce each other, turning your platform into a trusted decision surface.
Notifications
Notify platform and domain teams when semantic definitions or upstream schemas change, before data products or AI endpoints regress.
Integrations
Integrate with warehouses, lakehouses, catalogs, orchestration, feature stores, vector databases, and LLM providers using opinionated, platform‑friendly patterns.
Privacy
Encode regulatory and privacy rules in the semantic layer so platform consumers and AI services inherit compliant behaviour by default.
Data export
Publish semantic models, contracts, and platform services into your catalogs, registries, and developer portals to drive adoption.
Real-time sync
Keep semantic definitions, materialised views, and context indexes in sync with streaming and batch pipelines, so your platform always reflects the current state of the business.
Take control of your business
Stop bolting AI features onto fragmented data stacks. With Semcore, you build a semantic core that unifies data platforms, analytics, and AI—so every new data product or assistant strengthens the platform instead of adding complexity.