PITCHFEED

An AI tool for professional football clubs.

Coaches and analysts ask questions about the club's data in plain language. The answers come from queries that run on your own database and tools. Pitchfeed is built around the way your staff already works.

Pitchfeed chat interface with suggested prompts

Three things Pitchfeed does differently.

Most AI providers pretend AI will replace staff and decide better than coaches. Football clubs need something narrower, more specific, and more honest about what it does.

01

Numbers come from real queries.

When Pitchfeed shows a player's ACWR or HSR, that value was just pulled from your database. The AI's job is to choose the right query and present the result. Every answer is traceable: you can see the query that produced it and the rows it returned. Your analysts can verify it the way they would any internal report.

02

Shaped around your club.

The questions your coach and analyst ask every week define what the tool can do. Match prep, weekly load review, return-to-play monitoring, opponent notes. You don't bend your workflow to fit a platform.

03

One question, many sources.

When someone asks "how's the squad looking?", Pitchfeed pulls wellness, load, medical, and recent matches by itself, then puts them together in one place. You don't have to know which data lives where.

Cloud-hosted, but your data stays your data.

A question from staff "How is the squad?" AWS Bedrock Anthropic Claude Pitchfeed tool layer Queries built for your club Your club's database PostgreSQL · isolated Data does not leave your tenant.

Hosted on AWS

The same cloud most clubs and sports-tech vendors already use. The AI runs inside AWS Bedrock, so the security and uptime guarantees are the ones AWS publishes, not ones I make up.

Your database, your data

Each club gets a dedicated, encrypted database, in a region you choose. The AI talks to your data through a controlled set of queries. Nothing is shared between clubs or mixed with anyone else's information.

Answers can be checked

Every query the AI runs is logged with the rows it returned. Your analytics team can replay any answer, see where the numbers came from, and verify edge cases the same way they would for any internal report.

Built with European privacy in mind

European hosting region, role-based access, and a data-processing agreement template ready for your legal team to review.

What it looks like.

The interface is built for phones because that's where coaches actually use it. Three views, taken from the running prototype.

A small set of well-known tools.

AWS
Cloud
Claude
AI model
PostgreSQL
Database
Next.js
Mobile UI

Who built it.

LM

Louis Métro

Founder · Engineer

Like most people I do believe AI will revolutionize sports and football, but I do not think it can replace anyone at a club, at least not today.

AI is a brain enabler. It will help you if you inject it at the right place and at the right time.

That is what I did with Pitchfeed: workflow improvement, time saving, brain power multiplier. It will not decide for you, it will not choose who to replace or what play to call. It is a true and honest use of AI. And it will help you win.

I am looking for one professional football club that wants to try it on their data. No cost for now. I need a real club to test it with, and a case study at the end.