The company behind BAI Analytics

Built to make customer evidence impossible to ignore.

BAI Analytics gives complex organizations a governed intelligence layer for customer evidence. It connects signals across teams and markets, explains what is changing and gives decision-makers a defensible path from source to action.

Meet the team Read our story

The BAI Analytics team presenting at a McGill Dobson event in London

BAI Analytics in the field

Building customer intelligence across marketsMontréal · London · North America and Europe

North America + EuropeRegional infrastructure and customer operations across both markets.

Enterprise by designGoverned access, regional processing and evidence-level traceability.

Across the organizationOne customer truth for operations, sales, service, customer teams and leadership.

Why BAI Analytics exists

Customer data should operate as shared business evidence.

Most organizations already have surveys, service conversations, operational data, reviews and reporting. The problem is that these signals remain separated across systems, functions and markets.

BAI Analytics turns that fragmented evidence into a governed intelligence layer that can support decisions at every level of the organization.

The customer truth can move across the enterprise without losing its context, governance or supporting evidence.

How we built

Designed around the realities of complex organizations.

BAI Analytics was shaped around a demanding operational problem: how can an organization understand customer evidence at scale without losing context, governance or trust?

Built on serious technical foundations.

Our applied AI and engineering foundations span McGill and EPFL, combining research depth with a practical understanding of large-scale unstructured evidence.

Developed in live operational environments.

BAI Analytics has been built alongside organizations working through real service, experience and operational questions, where every answer must be useful, governed and defensible.

Designed to become shared infrastructure.

The platform unifies customer evidence across channels and makes the same truth useful to analysts, operations, sales, service teams and executives across regions and business units.

Leadership · Montréal

Leadership across applied AI, product, operations and global enterprise growth.

BAI Analytics is led by a multidisciplinary team with the technical depth and operating experience to build lasting enterprise infrastructure.

Hippolyte Lapierre

Chief Executive Officer

Sets company strategy and product direction, translating complex customer and operational questions into a platform organizations can deploy across functions and markets.

Gustave Lapierre

Chief Technology Officer

Leads engineering, security and applied AI systems, with research and technical foundations spanning EPFL and McGill.

Victor Keroulle

Chief Operating Officer

Leads operations and enterprise delivery, turning technical, governance and organizational requirements into durable customer adoption.

Emmanuel Lapierre

Chief Revenue Officer

Leads global growth and enterprise partnerships, bringing 25 years of sales experience across 40 countries and a record of building revenue organizations from the ground up.

How we think

Three principles guide what we build.

Start with the hard question.

The work begins with the decision someone needs to make, not with another dashboard or an abstract AI capability.

Keep the evidence attached.

Every theme, explanation and conclusion should remain defensible from the customer records behind it.

Build for the people who have to act.

Customer understanding becomes valuable when operations, sales, service and leadership can use it.

Start with the question

Bring us the customer question your dashboards cannot answer.

We will show you how BAI Analytics connects the evidence, isolates the cause and makes the answer useful across the organization.

Book a working session