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No SQL required. Ask questions in plain English and get reliable analysis in seconds.
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"We implemented an AI chatbot with Fabric that queries our internal data warehouse via SQL, and the results exceeded expectations. It bridges complex data infrastructure with a simple, user-friendly experience and consistently delivers actionable insights."

🧠 Context, Dialed In
We work with your team to define metrics, map schema, and encode business logic—so every answer is grounded in your data, your definitions, and your standards.
Learn more🔐 Built for Your Environment
Every customer runs in a dedicated environment they control—with isolated data, models, and compute. Infrastructure, access, and model keys are yours. No shared systems, no cross-customer data, and nothing ever used to train external models.
See deployment options📈 Built for Adoption
Track how your team interacts with data, review conversations, and capture feedback. Improve accuracy, shorten response times, and continuously refine your answer layer as your business evolves.
Learn moreBring your own keys and run Fabric with the model you choose.


Unifies your metrics, schema, and data into one trusted system for decisions.
Access follows user roles and permissions, so every answer respects data boundaries.




Fabric connects directly to your existing data warehouse (Snowflake, BigQuery, Azure SQL, etc.) and runs queries on top of your current schema—no data migration or duplication required. We deploy a dedicated instance tied to your environment and credentials, so everything runs against your source of truth.
Fabric is built with a single-tenant, permission-aware architecture. Every deployment is fully isolated in your environment, and access follows your existing warehouse permissions so users only see the data they're allowed to access. You can define user groups, control access at a granular level, and monitor how the system is used across your team by reviewing conversations, tracking questions, and analyzing usage patterns—ensuring both security and aligned adoption.
Only designated admins can train and refine Fabric. We work with your team to define metrics, map schema, and encode business logic, and admins can continue improving the system over time. End users can ask questions but cannot change how answers are generated, ensuring outputs remain consistent, traceable, and aligned with your business logic rather than drifting based on usage.
Most teams are up and running in a few weeks. We start by mapping your data and definitions, then train on real business questions, and deploy your dedicated instance early so you can begin using it quickly while accuracy improves with ongoing usage.
Fabric can answer anything your warehouse can support, and is strongest on cross-system, decision-level questions that would normally require analyst involvement, such as performance by region, pipeline versus revenue, or operational trends over time.