Our mission

Give every rep who sells face to face an assistant for the whole day.

Prestance is the AI assistant for teams who sell face to face. It prepares the meeting, lets the rep rehearse the hard moment with an AI playing the client, and writes the CRM entry, the recap and the follow-up from two minutes of talking afterwards.

Live today with advisors in luxury jewellery, prestige beauty, fine food and luxury real estate.

The blind spot

The room that decides the deal is the one no software has ever been in.

Most of what these teams sell is still decided face to face. In a boutique, at a kitchen table, in a hospital corridor between two cases. The till tells you what sold. The CRM tells you what someone found the time to type. Neither one tells you about the exchange that closed the sale, or the one that lost it.

And the work does not stop when the client leaves. The visit report, the quote follow-up, the thank-you note, the next steps. It waits until 10pm, and some of it never happens. The rest experienced reps carry in their heads, and when they leave, it leaves with them.

What we build

Cover the whole day, from the brief to the follow-up.

One assistant, in the rep's pocket, that knows the client, the products and the house's language. Three moments, every working day.

01 · Before the meeting

Walk in knowing who you are seeing.

Between two appointments you ask out loud and you get a brief: what she bought, what changed since March, what to open with. When it is a hard one, you run it once with an AI playing that client.

02 · In the meeting

The moment that decides it is one you have already had.

Nothing records the client. What is different is the rep. The hesitation on the price, the seller asking well above the market, the objection on the quote: they have handled it once already.

03 · After the meeting

Two minutes of talking, and the admin is done.

On the way out, the rep talks for two minutes. The CRM entry, the recap, the next steps and the follow-up email are written and sent to the rep by email before morning.

In a pilot, we agree on the one number a team wants to move, and we measure it before and after.

The product

See what it looks like in the rep's hand.

Voice-first, on the phone, in the house's language. We never record the client: the rep talks the meeting through afterwards, in their own words. Hosted in the EU.

Prestance home screen on a phone, headed "Thursday morning, Léa.", with a week strip marked DISCOVERY and a card reading "Camille stops in on her break"
Thursday morning. One client to get ready for, three minutes.
Live rehearsal screen in a boutique setting: a card headed CAMILLE reading "looking for something for a friend, it is her fortieth, and she already has everything", an empty YOU line, a microphone button and a 2:34 timer
The hard moment, run once out loud, with an AI playing the client.
Weekly letter screen headed "This is the week it clicked", listing what is working and three things to sharpen, starting with "Hold the silence after your price. Say the number, then stop."
The weekly letter. What worked, and the three things to sharpen.
Who it's for

Built for the people who carry the number.

Prestance is bought by the people accountable for what a field team delivers this quarter: retail operations directors, sales directors, agency principals, country and regional managers. They give the assistant to their teams, and they see it in the number they own: conversion, units per sale, mandates signed, quotes turned into orders.

We started in luxury retail, where a single conversation can carry a five-figure sale. The same three moments hold wherever the deal is decided in a room: prestige beauty, fine food and wine, luxury real estate, medical and life sciences, field and technical sales.

The team

One of us ran the floor. The other shipped the AI.

Portrait of François Fournier
François Fournier
Co-founder & CEO

Years in luxury retail before building software for it. Managed the Cartier flagship in Dubai Mall and led its advisor teams. Worked in omnichannel for Tiffany & Co. in Australia. Started in strategy at Roland Berger. Left a senior role with no plan B to solve the problem he saw every day on the floor.

LinkedIn
Portrait of Valentin Manès
Valentin Manès
Co-founder & CTO

Spent his career taking AI from research into production. Published AI research at KAIST. Author of Entropic, a fuzzing algorithm Google merged into mainline LLVM, now used worldwide. Production engineer at Qonto. AI architect at Well.

LinkedIn
Portrait of Léa Santos
Léa Santos
Product Designer

Product designer who ships. Built consumer mobile apps that shipped, with luxury houses on her track record. Designs the Prestance experience end to end, from onboarding to the weekly letter.

LinkedIn
Portrait of Damien Baladron
Damien Baladron
Full-Stack Engineer

Engineer trained at École 42. Builds across the Prestance stack (Flutter, Python, TypeScript) and owns the observability layer that keeps the voice engine fast and reliable.

Backed by a bench of coaches and advisors from inside the industry. The people who lived the problem long before there was software for it.

What we believe

The room is still where it happens.

The deal is decided face to face, in a conversation between two people. It is the most important event in the business, and until now nothing in the stack has been in there for it.

Selling is craft, not script.

Reading a person and building trust under pressure cannot be flattened into a checklist. We measure the skill as it actually is.

The manager is the multiplier.

AI shows the manager what they could not see. It does not replace them. Every finding lands as one clear action to run with that person this week.

We never record the client.

The client is never recorded. The rep talks the meeting through afterwards, in their own words. Managers see themes and progress across the team, never one person's replay. Hosted in the EU, under GDPR and the EU AI Act.

Where we're headed

The conversation that decides the deal has been a black box for as long as there have been sales teams. We are opening it, one meeting at a time.

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