Trusted by teams across industries
Every question, all the context you need.
Supersimple brings governed warehouse data and permission-aware company knowledge into one trusted AI agent.
Governed warehouse data
Your data team defines models, relationships, metrics, and permissions once, in YAML kept in Git. Every answer builds on the same definitions.
Permission-aware company knowledge graph
Documents, conversations, tasks, and code, indexed with their permissions. Every answer only uses what the person asking can see.
- Slack#ops-memphis
Memphis is on the backup sorter until the new belt arrives. Expect outbound to run 2 to 3 hours late.
Members of #ops-memphis - Google DriveDelivery pricing decision
Free delivery moves from €30 to €45 on August 1, for all markets.
Shared with Commercial - ConfluenceOps metrics glossary
On time means delivered within the Promised Window, not the Requested Time.
Ops space - GitHubonboarding/activation.ts
Since 4.3, workspace_activated fires only after the first teammate invite.
Repository access
From a question to work your team can keep.
An answer is only the start. Inspect the logic, change the analysis, add context, share the result, and return to it as the business changes.
Use Supersimple wherever the work happens.
Work directly in Supersimple, or bring the same governed context into Slack and Claude.
See it with your kind of data.
The kind of questions teams in your industry ask, answered with their warehouse and the context around it.
- AI companiesAnalytics for AI companies growing faster than their data team.
why did cost per conversation jump in August, and where does the money go?
Answered with - Software and SaaSProduct and revenue answers your data team would sign off on.
build a renewal forecast for Q1 accounts whose seat usage dropped
Answered with - Marketplaces and e-commerceKnow what really moved margin and repeat orders.
did raising the free delivery threshold hurt repeat purchases from new customers?
Answered with - Financial servicesExplainable answers from portfolio risk to customer behavior.
build a scenario planner for net interest income on the loan book
Answered with - Mobility and logisticsSpot service problems before your customers do.
which freight lanes missed their on-time target in September, and why?
Answered with
AI-native BI that anyone on your team can use
Explainable AI answers, no-code exploration, and a governed semantic layer that plugs into all of your existing context.
All your company knowledge, searchable and connected
Search, analyze, and answer questions across all of your tools: docs, tasks, files, emails, chats, and more.
Ready to get started?