Manifesto

The Foundation of the AI Revolution

Look at the future, it's closer than you think. GenAI at scale, AI at scale, and agentic workflows are already here. Lawyers feel it as AI legal assistants take over case research. Sales teams watch as AI representatives send emails and field prospecting calls.

Why is this working so well? Because they all rely a cumulated sum of widely public data accumulated for years. Data is what bridges the gap between a tech gimmick and a concrete application of AI that truly decouples productivity from human hours.

The Real Business Intelligence Challenge

But business intelligence operates at another level entirely. You don't need AI to access THE data - you need AI to access YOUR data. That's the real deal. You experience this gap every time you fiddle with tables, rows, and filters to create bulky charts just to answer vanilla questions like your cash position forecast. You feel it when you're still hunting for invoices before account closure, or when you're filling and maintaining dozens of spreadsheets month after month.

This is the problem with business intelligence today: founders spend too much of their limited time getting to the answer (the process) and too little time acting on the answers (the result).

At Well, we want to change that.

Our Three Pillars Approach

1. Data Fluidity

Our mission begins with enhancing data fluidity. We're building, at scale, connectors that access data at the right frequency and pipe it where it belongs. As a founder, your role is to install and orchestrate the data while staying in control. We're creating an infrastructure of connectors to enable this, standing as a pivotal player in your financial data management.

2. Capturing What Matters

Here's the truth: getting access to data isn't enough. What matters most is not missing the most relevant data. And the most relevant one often overlaps with the least accessible one - documents buried in your emails, invoices in PDFs scattered across dozens of vendor websites, paper receipts you need to capture manually - all of that spread-outs within your teams.

Getting access to this data is key, and we're building products that integrate closer to the inner workings of your organization and the tools you already use.

3. Intelligence Through Memory

Finally, we aim to deliver intelligence. You know what forms the foundation of our neural sparks? Memory. On top of our pivotal role in the financial ecosystem, we're building a financial data vault where data is stored with the right granularity and the right confidence level to deliver insights with precision.

The Future We're Building Toward

I firmly believe that in the near future, more CEOs will have a foundational background in data. That doesn't mean CEOs have to become technical experts, it means they should become strategic data leaders.

Of course, there's an education gap we need to bridge. In 2022, in France, 57% of companies going bankrupt fell for one reason: bad treasury management. Why? Because no one is educated about treasury management. Talk to solopreneurs - do they know their cashburn? Their runway? They don't. They manage their business account like their personal account.

Let's fix that.

What fascinates me is that technology can bridge this gap faster than you can imagine.

I dream of a product where our system provides plug-in financial insight reports you can install in one click.

I dream of a product where you don't need to manipulate cells to get the data right, where conversation is the only resource required to get insights, provided by a second business memory, delivering intelligence.

Maxime Champoux

CEO, Founder