// Data & Context

AI is only as good as the data it sits on.

Drivepoint connects all your data into one clean, structured layer your AI can reason over instantly. Pre-loaded with finance skills built for consumer brands, this is the foundation that makes agentic reporting, conversational analysis, and automated financial workflows actually work.

The Data & Context Layer
for consumer brand finance

// Data layer

Every consumer brand data source, connected and live

Pick from a library of pre-built integrations across eCommerce, finance, logistics, advertising and retail. Most brands are connected end-to-end inside a day, not a quarter — and we maintain the pipes so your team doesn’t have to.

  • 75+ prebuilt integrations
  • Continuous, automated sync
  • Up in days, not months
Diagram of Drivepoint's 500+ pre-built data connectors organized into six categories: commerce, advertising, ERP, warehouses, marketing, and analytics.
Illustration of a unified orders table merging multiple data sources with full historical context.
// Data layer

Structured the way AI needs it

Most AI projects stall because the data underneath isn’t ready. Drivepoint cleans, organizes, and shapes every input into a form your agents can reason over instantly. Lineage, version history, and permissions built in. Every number traceable, every answer defensible.

  • Clean, query-ready data layer
  • Full lineage and version history
  • Granular permissions and audit trail
// Context layer

Prebuilt skills that speak consumer brand finance

20+ pre-built finance skills. The cohort math, margin analysis, retail forecasting, and operational work consumer brands always end up doing. None of it your team has to teach an AI from scratch.

  • Cohort, margin, variance, inventory, and trade-spend analysis built in
  • Pre-built models for DTC, Amazon, wholesale, COGS, opex, payroll, and more
  • The tricky parts handled: new-vs-returning, cohorts, subscriptions
Grid of 20+ pre-built finance skills providing business context for AI agents.
Diagram of the Drivepoint data layer feeding consistent context to multiple LLMs.
// Context layer

AI you can swap, finance skills you keep

Claude, ChatGPT, Gemini, whatever’s next. Your data, context, and finance skills sit above the model layer. Switch the AI without losing what you’ve built.

  • Works with any frontier LLM
  • Same finance context across Excel, Claude, and Drivepoint
  • Direct access to your data for your own BI or warehouse
// OUTCOMES

What changes when your data is finally ready.

01

Close the visibility gaps.

See your full P&L, cash flow, and inventory position any day of the month, not just at close.

02

Cut manual data work by 80–90%.

Save up to 40 hours of work every month and avoid hiring extra headcount.

03

Get AI that actually works on your numbers.

The reason most finance AI experiments stall: the data isn’t ready. With Drivepoint, your agents start on clean, finance-aware data from day one.

04

Future-proof your finance stack.

Your data, context, and skills aren’t bound to any one LLM. When the model landscape shifts, you don’t rebuild.

// THE PLATFORM

Explore the full platform.

Drivepoint is a single platform with four pillars. They share one model, one data layer and one set of permissions — so the work flows.