Finance teams, operators, founders—we’re not just order-takers. We’re resourceful, scrappy, and relentlessly looking for ways to move the needle. We love data. We love action. But here’s the thing: data without action is just expensive spreadsheet therapy.

With 5+ billion people shopping online, there’s never been more opportunity in e-commerce. But there’s also never been more volatility. Global shifts like changing tariffs, supply chain disruptions, and economic uncertainty mean you need bulletproof operations to stay resilient. Yet most teams are still drowning in manual processes and disconnected systems.

The Daily Grind It’s 9 AM.

You’re already three emails deep into payment reconciliation issues. Yesterday’s settlement report doesn’t match your Shopify numbers—again. You download the CSV from Stripe, pull it into Excel, cross-reference it with your order data. Two hours later, you’ve found the discrepancy, but now your marketing manager needs last month’s CLV breakdown for the board deck. So you start over. New spreadsheet, new data pull, new formulas.

Your afternoon disappears into pivot tables. Meanwhile, your wholesale customer is waiting on a custom quote, your payment processor is holding funds from a flagged transaction, and you still haven’t figured out why conversion rates dropped 3% last week. Every day, we’re drowning in this cycle. Download, import, analyze, report, repeat. It’s like Groundhog Day, but with more pivot tables and less Bill Murray.

Conversion rates, CLV, churn, attribution models—charts everywhere, insights nowhere. Most analytics tools give you beautiful visualizations of what happened. But what you really need is something that tells you what to do next. And then actually helps you do it.

The Problem We Felt Early on

we noticed something: e-commerce operators weren’t asking for better charts. They were asking for better outcomes. “Can you help me figure out why payments are failing?” “Can you automatically chase down missing payouts?” “Can you help me scale wholesale without drowning in spreadsheets?” These aren’t dashboard problems. These are execution problems.

Picture this: You get an alert that a high-value customer’s payment failed. Instead of manually digging through logs, sending emails, and following up with support tickets, the issue gets flagged, investigated, and resolved automatically. The customer gets re-billed successfully, and you get a summary of what happened and why.

Or imagine never having to download another settlement report. Never having to manually reconcile payments. Never having to explain to your colleague why the numbers don’t match—because they always do.

That’s why we didn’t build another analytics platform.

Introducing Accelerators Not AI agents. Not dashboards. Better. Accelerators are execution engines that monitor your business autonomously, identify specific opportunities, execute solutions with minimal human input, learn from outcomes, and continuously improve performance. Think of them as your business operations team, but they never sleep, never miss a detail, and get better every day.

How It Works Two layers working in harmony:

• Data Layer: Unifies your e-commerce stack—Shopify, Stripe, Centra, and growing. Creates standardized data models. Ensures everything talks to everything else. No more export-import cycles.

• Accelerators Layer: Purpose-built execution engines for specific use cases. Human-in-the-loop oversight when you need it.

What’s Live Now Payment Reconciliation Accelerator End-to-end traceability from order-to-payout. Automatically flags misalignments between your store and payment provider. No more manual spreadsheet detective work. No more explaining discrepancies to your CFO because there aren’t any. Consider it your financial fact-checker that never takes a coffee break.

What’s Coming Next 3-Way Match Accelerator Track your purchase orders, goods received notes, and invoices automatically. No more hunting through email chains to find that PO from three weeks ago. No more manually checking if what you ordered actually arrived. No more invoice discrepancies slipping through because someone forgot to verify quantities against the delivery receipt.

Picture this: Your supplier sends an invoice for 500 units. Instead of digging through your email to find the original PO, then checking with your warehouse to confirm what actually arrived, the system automatically cross-references everything. PO says 500 units, GRN confirms 485 units received (15 damaged), invoice claims 500 units. The discrepancy gets flagged instantly, the supplier gets notified about the adjustment needed, and you get a clean reconciliation report. And we’re just getting started. Every accelerator we build makes the next one smarter.