Context infrastructure for agentic analytics
A learned semantic layer, curated by your experts
Agents do the heavy lifting, your experts curate semantic objects. Embed to every agent, dashboard, and ML model through an API running entirely inside your own cloud.
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In sync
Industry Standard Semantic Objects
A semantic layer is one trusted, governed place that defines what every business concept means and how it maps to the underlying data. These six primitives are the whole model.
Entities
The nouns of your business: customers, orders, accounts.
Relationships
How entities join, defined once and reused.
Dimensions
The ways you slice: region, plan, channel.
Measures
Raw aggregations: sum of amount, count of orders.
Metrics
Governed business numbers: net revenue, active users.
Filters
Shared definitions of "active," "paid," "churned."
Embed
Better products, built on shared semantics
AnswerLayer is context infrastructure, not a chatbot. The same governed semantic layer powers agents, embedded analytics, and ML features through one API, so every product you ship speaks the same trusted definitions instead of reinventing them in SQL.
Agents
Ground agents in governed metrics and relationships, not raw tables they have to guess at.
Embedded analytics
Ship dashboards and reports on definitions that already match how the business thinks.
ML features
Reuse the same measures and entities as model features, consistent across every model.
It runs in your cloud
Bring Your Own Cloud. The full stack deploys inside your own account. No third-party SaaS upload. Data never leaves.
All resources provisioned and managed within your account.
Data sovereignty
Data stays in your jurisdiction and your accounts.
Privacy & protection
No third-party SaaS upload. This is often a hard requirement.
No tradeoff
Modern AI analytics and governance, together.