Equals Built Around Finance Workflows
Bobby Pinero, CEO of Equals, on bringing joy to finance teams
This shows that Equals was built against the lived workflow of finance operators, not the priorities of the data stack itself. The usual tools were built for analysts and engineers who centralize data in warehouses, write transformations, and publish dashboards. Finance teams instead bounce between Stripe, QuickBooks, Salesforce, and spreadsheets, then need to model, explain, and share the answer fast. Equals packaged connectors, spreadsheet analysis, and dashboards into one loop that matched that job.
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The gap was concrete. Modern data stack tools centered on Snowflake, Fivetran, and dbt solve data centralization, but they assume a warehouse, engineering setup, and ongoing transformation work. For a Series A finance team, that can mean months of setup before anyone gets a usable report.
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Other spreadsheet startups split the market by use case. Airtable became spreadsheet as database, Notion and Coda became spreadsheet as document, and Smartsheet became spreadsheet as project tracker. The opening Equals saw was spreadsheet as analysis, where finance people still fall back to Excel to inspect anomalies and build models.
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The closest comparables prove the market is real, but they attack it differently. Vena grew by wrapping planning and controls around Excel for midmarket finance teams at roughly $60,000 ACV, while Equals chose browser based spreadsheets, live connectors, dashboards, and lighter deployment for earlier stage companies. Today its packaging still reflects that all in one workflow, with dashboards, spreadsheet analysis, and bundled data connections sold together.
The category is heading toward finance tools that hide more of the warehouse and SQL complexity, then surface answers in a spreadsheet and dashboard format that operators already trust. As AI helps users navigate schemas and generate queries, the winners are likely to be products that feel native to finance work while quietly absorbing more of the data stack underneath.