Description
Bonnard is the agentic analytics layer for building next-generation AI features. Define your metrics in YAML, connect your warehouse, and ship governed AI analytics with multi-tenancy and access control built-in. Bonnard enables shipping accurate, fast, and scalable AI analytics inside your product or over MCP for your customers. Your agents get the right answer because they query governed metric definitions, not raw tables. Your clients only see their data with row-level security per tenant and token exchange mapping your auth to the security context. Ship it your way with a React SDK for AI chat in your product, an MCP server for clients using their own AI tools, and REST and GraphQL for everything else. Everything your customers need is powered by one governed schema powering every dashboard, agent, SDK, and MCP. Get trustworthy answers as your agent queries governed metric definitions, not raw tables. Every response is grounded in your business logic. Offer it in your product or via MCP with embedded dashboards, a React SDK, and an MCP server. Publishable keys let your customers access their data wherever they work, and you control what they see. SDK for every surface includes REST for your app, React for embedded analytics, and SQL for your internal team, all with the same governed model. Browse before you ship: explore your schema, run queries, check results, and see exactly what your customers will see before it goes live. Ship from the terminal with no clunky UI. Every feature is accessible via CLI and taught to your agent. Agent-ready from init: `bon init` scaffolds your modeling layer plus docs, skills, and rules for your agent. Your metrics are understood from the first commit. Self-host in minutes: `docker compose up` runs the full stack. Use the CLI to init, model, deploy, and query. Your infrastructure, no limits. Deploy to Cloud: Same CLI, managed infrastructure. `bon deploy` pushes to Bonnard Cloud. Zero ops, governance included. Fits your stack: `bon datasource add --from-dbt` and your models are in. Auto-detected from your project. Ready for your security review: Governed access, audit logging, and managed cloud. Check the boxes: RBAC and governed access to control who queries what. Audit trail: every query logged. Know which agent, app, or user accessed what, and when. Team access: invite your team, assign roles, and scope access to the metrics that matter. Fully managed: we handle infrastructure and scaling. You handle metrics. Go from zero to PoC in a week.