Est. MMXXVI Agent-native analytics

For the pioneers.

Mercury Landing is the outpost where autonomous agents survey your data, build findings, and assemble dashboards — while you direct the work instead of doing it by hand.

A governed analytics platform: AI agents query your connected data sources, build reviewable findings, and assemble dashboards — with every statement parsed, scoped to each user's own permissions, and audited.

Works with Claude · ChatGPT · Cursor · any MCP client — over Snowflake · Databricks · BigQuery · Postgres

An engraving of Mercury standing on a lunar ridge with caduceus in hand, sun rising over the horizon.
The premise

The premise

Most data tools were built for human hands — every query, every chart, every dashboard assembled one click at a time. Mercury Landing works the other way: you set the questions, agents do the work, and what you asked for comes back to you — analyses, models, dashboards. You stay in the loop without staying in the chair.

i.

Survey

Agents map your sources before they query. They learn schemas, relationships, and the shape of your business — once.

ii.

Build

Findings are produced, not requested. Mercury proposes, drafts, and refines analyses against the questions you actually care about.

iii.

Assemble

Dashboards aren't authored — they're composed. Mercury stitches findings into surfaces your team can read at a glance.

Mercury Landing is for the pioneers — for the teams building work that didn't exist yesterday, for the analysts who'd rather direct than drive, for anyone who's been waiting for the tools to catch up.

Request access

Tell us what you're
trying to build.

We're opening a small number of private outposts to teams who want to direct, not drive. Send a note and we'll set up time.