Let's start building the future

We support your teams in their development

GoodMind AI helps Quebec and Canadian SMBs move from vague AI ideas to a clear diagnostic, a useful prototype, and then a reliable system. Focused services to build what your teams actually need.

Laurent Chauvin, Founder of GoodMind AI
Trust proof

Founder-level expertise for serious AI systems.

I am Laurent Chauvin, PhD. I have built medical imaging and AI software in environments where rigor was not optional: Harvard Medical School, ÉTS, then NeuroRx for clinical trials. GoodMind AI exists to bring that discipline to SMBs that wish to focus on their core business while remaining competitive.

In practice

Start from a problem, not a technology.

Here's what AI looks like in fields like yours.

01 Notary office
The situation

We spend hours digging through old files to find the right clause.

What we build

Your files answer back

An assistant retrieves precedents from past files, drafts standard clauses, and prepares draft minutes — citing its sources.

The result

The notary focuses on analysis, not paperwork.

02 Mental-health clinic
The situation

Incoming requests pile up and we can't call everyone back.

What we build

A front desk that never sleeps

A dedicated assistant triages requests, offers first appointments, sends reminders, and collects intake forms — in line with Law 25.

The result

The team gets time back for patients, not logistics.

03 Accounting firm
The situation

Reconciling client transactions by hand is slow and error-prone.

What we build

Your data sorts itself out

A system gathers and structures transactions, flags anomalies, and drafts GST/QST report packages to review.

The result

The accountant reviews and advises instead of re-keying.

04 Construction contractor
The situation

Putting a bid together from an RFP takes us days.

What we build

A first-draft bid in minutes

AI drafts a first version from the RFP, drawing on your past quotes, supplier prices, and RBQ standards.

The result

You start from a solid draft and keep control of the final price.

Start by knowing whether AI is worth the cost.

The diagnostic identifies the right use cases, limits, risks, and shortest path toward a useful prototype.