Run
Run your reports, apps and agents on governed data from every system
Build once on Rig and switch off the point tools. Your team gets answers on agreed definitions in Slack, Claude and your own apps.
How Run works
Point the AI tools your team already uses at one governed layer. Hosting, access and audit come with it, so you don’t have to build them.
Connect your AI tools
Add Rig’s MCP server or API to Claude, Cursor, ChatGPT and Copilot. One endpoint serves every tool.
They get accurate data
Rig Map hands each tool the real joins, certified metrics and business terms, so nothing has to guess the schema.
Your team builds
Dashboards, reports and agents, built in the tool or in Rig by the people who need them, without waiting in a queue.
Host and share on Rig
Publish to a real URL with role-based access and PII masking. Preview as any role before you ship it.
Everything audited
Every query, app and tool call is logged against the person behind it, so each app is ready for a security review.
What teams ship on Run
Apps in weekly use across GTM, finance, CS and fraud teams, built by the people who needed them.
15+ live dashboards, owned by each function
Reporting that took about three months in a legacy BI tool, rebuilt in under a day.
Dispute context, pulled together automatically
Context that took 30 to 60 minutes to assemble by hand for each case now comes from one governed layer.
Context for every trial call
Talking points, purchase probability and objection prep before each call, self-served by the people closest to revenue.
Recurring revenue by segment, live
Numbers stop being re-derived from scratch each cycle. One shared view the exec team checks every day.
Why Rig
The difference between an artifact and an app
A vibe-coded file is a one-off. Run makes it accurate, hosted, permissioned and provable.
| Capability | Without Rig | With Rig |
|---|---|---|
| Data accuracy | Each tool guesses the joins | One shared map of definitions |
| Where the app lives | An HTML file on a laptop | Hosted on Rig, at a real URL |
| Who can see it | Whoever it’s forwarded to | Role-based access, PII masked |
| Audit trail | None | Every query and user logged |
| Schema drift | Breaks without warning | Detected and kept current |
| AI tool access | Wired up per tool, per person | One MCP, fully permissioned |
| Security review | A scramble every time | Ready from day one |
Customer story / Birdie
Retire legacy BI and unblock AI for RevOps
Retiring legacy BI gave Birdie’s RevOps team faster, AI-ready reporting. Then, sales broke into a new segment, finance started closing the month a day sooner, and customer success now trusts every answer it gets from AI.
Read the story“I think it shaved at least a day off our month-end timetable.”
Finance, Birdie
Talk to Rig
What work do you want to improve?
Tell us where your team spends time, loses money or needs better information.
In a 30-minute call, we’ll discuss the data and systems work that could help.