Offering three founders a free data infrastructure audit — looking for honest feedback in return
I've spent six years as a data analyst, usually as the first hire, inside e-commerce, fintech, and insurance businesses. The pattern I kept seeing: companies have more useful data than they realise and almost none of it is set up in a way that lets them actually use it.
I recently founded Sentier Étoilé to productise what I was already doing; but I'm early stage and I want to work with real businesses before I start charging.
Here's the offer: I'll audit your data infrastructure for free. That means a clear picture of how your data is currently being captured, stored, and distributed across your business, what's missing, where the gaps are, and a practical roadmap for turning it into a scalable system capable of supporting proper analytics and eventually custom AI models.
It'll take about two hours of your time. In return I'm asking for an honest testimonial I can use.
Who it's for: founders running a business with under £10M ARR and believe data can be a strategic asset they are ready to utilise.
If you're interested or know someone who might be, drop a comment or message me directly.
This is a really strong offer — especially for early-stage teams that think they have analytics but are actually sitting on fragmented data sources.
The framing is spot on:
most companies don’t have a “data problem,” they have a “data usability problem.”
What you’re essentially selling (even in free form here) is:
• visibility across systems
• identification of data gaps
• and a roadmap toward decision-grade analytics + AI readiness
That’s high leverage for founders under £10M ARR, especially in e-commerce and fintech where tooling often grows faster than architecture.
One thing that could make this even sharper:
• include a small example output (sanitized audit screenshot or sample “before → after” diagram)
• clarify whether this covers modern stacks (e.g., Snowflake, BigQuery, Segment, etc.)
• highlight what “actionable deliverable” they get at the end (not just findings)
Right now the value is clear, but the artifact they receive could be made more tangible.
Emmanuel here 👋
I work with AI systems, data workflows, and product engineering — I’d be interested in being one of the founders you audit and giving honest feedback on both the technical depth and the clarity of the output.
If you’re still selecting people, happy to collaborate.
https://teams.live.com/l/invite/FAAk3iOSJkDyS11JQE?v=g1
I think a lot of early-stage founders underestimate how fragmented their data becomes over time until they actually try to answer a simple business question and realize the information lives across 5 different tools.
The “roadmap before AI” angle is smart too. A lot of companies want AI outcomes before their underlying data structure is even reliable enough to support them.
This is a strong offer because the pain is usually not “we need more dashboards.” It is that the business has useful data scattered across tools, but no clear system for turning it into decisions, forecasting, or eventually AI workflows.
I’d probably make the outcome more concrete in the positioning. “Data infrastructure audit” sounds useful, but founders under £10M ARR may not immediately feel urgency. Something like “find the data gaps blocking better reporting, automation, and AI readiness” makes the value sharper.
One thing I’d watch early is the Sentier Étoilé name. It has a premium feel, but for e-commerce, fintech, and insurance founders, it may create a pronunciation and recall gap. If this becomes a serious data strategy and AI-readiness platform, Beryxa .com would give it a cleaner enterprise SaaS feel.