Building Datatrixs: Solving Financial Data Chaos
How Datatrixs started with three core problems in financial decision-making and evolved into an AI-powered analytics platform.
When I started Datatrixs four years ago, three main problems were at the core of it:
1️⃣ Entrepreneurs and Spreadsheets:
Entrepreneurs use spreadsheets all the time, but most are not good at it. The process of building a financial model—let alone having decision-ready data once the business is up and running—is tedious.
2️⃣ Product Managers & ROI Presentations:
Product managers in medium enterprises must present financials to management to win approval for new products. Each manager formats their financials differently, leading to chaotic collaboration across sales, marketing, product, R&D, and finance teams.
3️⃣ Small Businesses & Capital Allocation:
Small businesses (e.g., bakeries) struggle with capital allocation. After hours in a spreadsheet, confirming where investment is needed most hinges on questioning the same assumptions repeatedly.
These Problems Shaped Our Perspective:
✅ Becoming the Single Source of Truth
If we can centralize all company finances, we can build a massive business.
✅ Automating Financial Intelligence
Imagine a platform where a user inputs data and instantly gets breakeven analysis, burn rate, and capital requirement charts, alongside industry benchmarking and scenario modeling.
✅ AI-Driven Financial Insights
What if a system could connect to your bank accounts and customer data and recommend optimal marketing, sales, and product investments to maximize engagement and revenue?
Fast Forward to Today
We've made huge strides in this space. Users can now forecast what they want with a simple prompt. We've also developed AI-powered recommendations with explanations—akin to AI agents performing specialized financial functions.
🚀 Curious to see how our vision has evolved? Watch the video below.