Drivepoint raised a $7 million Series A in 2025, bringing its disclosed financing to more than $9 million to date. The round was led by Vocap Partners and included Good Friends VC’s consumer-founder syndicate, along with returning investors Bling Capital and Vinyl VC. Investors framed the raise as validation of Drivepoint’s traction with direct-to-consumer and multi-channel retail brands and as capital to accelerate product development and sales.
Austin Gardner-Smith remembers the month his first customer asked for something the spreadsheets could not deliver: a single place to run scenario planning across DTC, wholesale, and Amazon while still keeping the numbers flexible enough for a founder to tinker. Drivepoint looks to replace the brittle mix of Excel files, patchwork scripts, and delayed reports that many consumer brands rely on to make operational decisions. The aim was practical: reduce the hours finance teams spend reconciling data and increase the confidence around decisions that move inventory, marketing, and margins.
How Drivepoint models retail finance
Drivepoint presents itself as an AI-native, spreadsheet-friendly platform that stitches together retail channels, daily performance data, and forecasting models into one finance workflow. The product promises automated recurring forecast updates, scenario comparisons, and tear sheets that translate into profit-and-loss, balance sheet, and cash-flow projections. Integrations with retail and advertising platforms feed a modeling layer that is designed to be familiar to finance teams that prefer Excel while eliminating repetitive data plumbing.
