Build, deploy, and manage AI-powered data systems that understand your business context and integrate seamlessly with your existing infrastructure.
Define your organization's business logic, metrics, and data relationships. Create a centralized knowledge base that ensures AI agents understand your specific domain and provide accurate, contextually-aware responses.
Data Models
Custom Functions
LookML Views
Seamlessly integrate with your existing data transformation pipelines. Import dbt models, sync LookML definitions, and connect custom Python functions to extend AI capabilities with your organization's unique logic.
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.