Build, deploy, and manage AI-powered data systems that understand your business context and integrate seamlessly with your existing infrastructure.
Diagnose, remediate, and improve AI performance with a comprehensive suite of tools for monitoring activity, costs, and quality. Ensure your data agents operate efficiently and accurately.
Data Models
Code Context
LookML Views
Connect all your context sources to a centralized knowledge base. Integrate schemas, business rules, metrics, dbt, LookML, and even documents from GitHub to create a rich, unified view for your AI agents.
Manage multiple LLM providers, configure model routing based on query complexity, and deploy specialized models for different use cases. Monitor performance, costs, and quality across your entire AI infrastructure.
Enterprise-grade infrastructure designed to handle your organization's data workloads with reliability, security, and performance.
Deploy on Kubernetes or Docker for auto-scaling, high availability, and seamless integration with your existing infrastructure.
Monitor query performance, track costs, and debug issues with comprehensive logging and metrics integration.
Self-hosted deployment with end-to-end encryption, role-based access control, and compliance-ready audit logs.
Join forward-thinking data teams who are already deploying AI-powered analytics at scale.