Slice, dice, and forecast your pipeline, ARR, and churn, no csv's or custom formulas required.

Finance and GTM teams don’t struggle because they lack insight—they struggle because critical data is fragmented, manual, and slow to work with. Answering even simple questions requires stitching together systems, rebuilding metrics, and relying on a single analyst, turning routine analysis into a time-consuming process.
Revenue and customer data lives across multiple systems, requiring merging csvs to reconcile.
All ARR, revenue, and retention formulas need to be built from scratch, which slows down analysis and introduces errors.
Seeing new cuts or segments of data means hours of rebuilding analysis from scratch.
Spreadsheets immediately get out of date, and updating means more csv downloads and data merging.
One analyst becomes the bottleneck for every ad hoc request. As a result, teams spend more time preparing data than analyzing it.
Choose from our library of 150+ metrics or define your own. Segment and transform your data instantly, guided by our AI Analyst.












Mix-and-match between pre-built and fully customized metrics and charts.
Choose from our dashboard templates or select your own
Select from our library of over 150 pre-built metrics
Define your own metrics to suit your company's needs

Transform, segment, and group your data to answer new questions without rebuilding analysis.
Transform financial data instantly using chart settings
Utilize our Segment builder to define customer and product segments
Group data to break down any metric by its attributes

Give stakeholders self-serve access to insights and respond to questions instantly without becoming the bottleneck.
Share dashboards with specific users
Allow end-users to do their own data-filtering within your limits.
Respond to data requests instantly
By unifying data and definitions in one system, Grid enables faster analysis, consistent insights, and alignment across finance and GTM teams.
Analysis is fragmented and fragile. Data lives in disconnected tools, metrics change depending on the source, and teams rely on manual work just to explore basic questions, slowing insight and making deeper analysis harder as the business grows.
Data scattered across systems
Manual exports and spreadsheets
Inconsistent metric definitions
Stale data
Analysis gated by one person
Analysis runs on a single, trusted system. Revenue data stays centralized, metrics remain consistent, and teams can slice, segment, and explore instantly so answers come faster and decisions are made with confidence.
Centralized, unified data
Instant segmenting and grouping
Consistent definitions everywhere
Fast, reliable dashboards
Shared visibility across teams
Reporting gives you consistent dashboards. Analysis lets you interact with the data. You can segment, group, transform, and forecast metrics in real time without rebuilding formulas or exporting CSVs.
You can break down ARR, churn, retention, pipeline, and revenue by product, segment, cohort, account executive, region, or any mapped attribute. You can also compare budget vs. actuals and analyze trends over time without rebuilding spreadsheets.
No. Grid includes pre-built metrics and an AI Analyst that lets you ask questions in plain English. You can generate charts, summaries, and new data cuts instantly without writing formulas.
Yes. You can choose from 150+ pre-built metrics or define your own. You can also build customer and product segments, group data by attributes, and transform charts without starting from scratch.
Grid allows you to analyze historical trends in pipeline, ARR, churn, and revenue, then apply forecasting views to support planning. Because the data is unified and standardized, forecasts are based on consistent definitions.
Yes. Teams can filter and segment dashboards within guardrails you define. This enables self-serve exploration while preserving metric consistency across the business.
Because metrics are pre-modeled and always up to date, new questions do not require rebuilding exports or rewriting formulas. Finance and GTM teams can explore data directly instead of relying on a single analyst.