Self-serve BI on live, governed data
Explore live data, build dashboards, and investigate governed metrics with AI in one place, without stale extracts or metric drift.
The Future of BI Is Self-Serve
Altertable turns BI into a faster, more self-serve system where teams can explore live data, follow their own questions, and get proactive insight without waiting on dashboard backlogs or analyst bandwidth.
Native Visualization, Built In
Create charts and dashboards directly in Altertable, with visual exploration tied to the same live data, shared definitions, and AI workflows as the rest of the platform.
Dashboarding Without the Sprawl
Build live dashboards directly in Altertable, so teams can monitor the business, drill into changes, and stay on the same shared data model without adding another BI layer.
Federate Across All Your Data
Query and join data across databases, warehouses, and lakehouse storage in one system, so teams can analyze the business without copying everything into yet another silo.
Self-Serve BI with AI
Altertable uses AI to make BI self-serve, so teams can explore data, follow up on insights, and get answers without relying on SQL fluency.
Put agents on the same BI foundation
Connect agents to live dashboards, semantic models, and saved insights through MCP. They can investigate the business from the same definitions and permissions your people use every day.
Every metric stays grounded
Agents use the same semantic models, saved insights, and permissions as your BI workflows, so answers stay tied to definitions your team already trusts.
Ask from the tools you already use
Connect Claude, GPT, and internal agents through MCP to investigate live dashboards, query underlying rows, and follow up without exporting data.
Turn analysis into action
Let agents inspect insights, compare changes, and create follow-up work from the same governed BI surface instead of handing off between disconnected tools.
Keep access scoped
OAuth and environment-level permissions give each agent the access it needs without sharing database credentials or creating a second security model.
What teams get
Governed self-serve analytics, live dashboards, agent follow-ups, and predictable pricing without another layer of metric drift.
Self-serve without metric drift
Stakeholders can ask, explore, and share answers without creating a shadow BI stack or redefining the metrics analysts already maintain.
Dashboards on live rows
Dashboards stay close to the underlying data, so teams can move from a chart to the rows behind it without waiting on stale extracts.
Always-on monitoring for your dashboards
Pair dashboards with agents that monitor saved insights, summarize meaningful changes, and route findings before someone has to ask.
Predictable pricing
Flat monthly pricing with unmetered queries lets analyst exploration, dashboards, and agent follow-ups share the same fixed bill. See pricing.
Core BI capabilities
Trusted answers, live dashboards, shared metrics, and fast follow-ups on one governed lakehouse.
Answers where teams work
Let stakeholders ask questions from Claude Cowork or familiar tools while the answers stay grounded in governed metrics, permissions, and live data.
Dashboards stay fresh
Keep dashboards connected to live data so teams see the latest state of the business without waiting on extract refreshes or stale report snapshots.
One definition of every metric
SQL, dashboards, and conversational analysis resolve through the same joins, metrics, and access controls instead of drifting into competing definitions.
Interactive at team scale
Exploration should invite the next question. Keep dashboard drill-downs, analyst cuts, and agent follow-ups responsive as usage grows.
Explore the rest of the platform
More workloads on the same engine, governance, and pricing.
Lakehouse
Query live data across systems with DuckDB-powered execution, open storage, and predictable economics. Build on one operational lakehouse instead of another warehouse-centered stack.
AI Context
Give Claude, GPT, and other agents governed access to trusted data, metrics, and business context. Agents work from the same definitions and permissions as your team.
Give every team the same trusted answer
DuckDB workers on open formats, federated SQL across your existing systems,
and an MCP server for agents — at flat monthly pricing.