Define once. Use everywhere.
Use the same metrics and business rules across dashboards, apps, deepgreen AI, and connected tools like Claude via MCP.
Manage AI context at scale.
Build, monitor, and improve shared context across data, systems, and teams. Find gaps through automated reviews, trace AI outputs back to their sources, and test the answers the business depends on.
Book a demoSales pipeline
Open new-customer deals.
- Pipeline amountnumber
- Unweighted USD value; zero if unqualified.
- Expected close datedate
- Group by month or quarter.
- Stagetext
- Qualified: Evaluation, Proposal, or Negotiation.
- Deal typetext
- Excludes renewals and expansion.
- Source
- Custom SQL
- Grain
- One row per opportunity
- Upstream
- Accounts, Opportunities
- Qualified pipeline
- Sum of Pipeline amount
Used by Pipeline review
Bring business knowledge, context, and data together.
Connect business data with the knowledge in Notion, Slack, Gmail, and other tools. Give AI the shared definitions, business rules, and procedures it needs to interpret the data and do the work.
- Notion
- Slack
- Gmail
- Business data
Give AI the meaning behind the data.
Capture what business terms mean, how data relates, which rules apply, and what to exclude.
Less setup. Fewer tokens.
AI starts with established knowledge and procedures. Direct model queries reduce SQL generation and repeated data discovery.
Context that keeps getting better.
Keep shared context useful as the business changes. deepgreen finds gaps and helps improve the knowledge AI depends on.
Find gaps proactively.
Automated reviews, questions, and feedback reveal missing definitions and unclear business rules.
Trace answers to their sources.
See the data and rules behind an answer, and which analyses, apps, and agents depend on them.
Improve the shared foundation.
Capture a clarification once so the tools and teams using that context can benefit from it.
Give business-critical AI a test suite.
Check AI answers against known results. See which business rules were missed.
2 passed 1 failed
What’s the value of new-customer deals expected to close in Q4?
Failed- AI answered
- $300,000
- Expected answer
- $240,000
Includes $60,000 in renewals.New-customer deals should exclude them.
Deal types Passed
Which deal type counts toward new-customer pipeline?
- AI answered
- New customer
- Expected answer
- New customer
Renewals and expansion are excluded.
Quarter boundary Passed
Which date determines an open deal’s quarter?
- AI answered
- Expected close date
- Expected answer
- Expected close date
Uses the expected close date.The creation date does not determine the quarter.