About our AI software company

We are a team of researchers, engineers, and strategists united by a single belief: AI should create measurable value for every organisation that adopts it.

Our story

FutureAI Soft was founded in 2019 in Québec City by a group of machine-learning researchers who had spent years watching promising AI projects stall on the way from prototype to production. The gap between academic breakthroughs and real-world deployment was enormous — and it was costing businesses millions in wasted pilots and abandoned experiments.

We set out to close that gap. Our founding principle was simple: every model we build must reach production, deliver measurable impact, and remain maintainable by the client's own team long after our engagement ends. That philosophy has guided every decision since — from the way we structure contracts to the way we document code.

Over the past six years we have grown from a four-person consultancy to a 35-person firm serving clients in finance, healthcare, logistics, manufacturing, and retail. Our headquarters remain in Québec, but our team now includes remote specialists across Canada and Europe, giving us the ability to staff projects in multiple time zones without sacrificing collaboration quality.

Quebec City skyline at golden hour where FutureAI Soft is headquartered

Mission and values

Our mission is to make AI software accessible, transparent, and genuinely useful for organisations of every size.

Integrity first

We present honest assessments of what AI can and cannot achieve for your use case. If a rule-based system would serve you better, we will tell you — even if it means a smaller contract for us.

Outcome-driven

Every engagement starts with a clearly defined business metric — cost reduction, throughput gain, accuracy improvement. We track it weekly and course-correct until the target is met.

Human-centred design

The best model in the world is useless if people refuse to trust it. We invest heavily in explainability, UX research, and change management so end users adopt — not resist — AI tools.

Continuous learning

AI moves fast. Our team dedicates 10 % of each sprint to research, experimentation, and knowledge-sharing. This keeps our toolbox current and our advice forward-looking.

Meet the leadership team

Experienced practitioners who have shipped AI software at scale across multiple industries.

Portrait of Nadia Caron, CEO

Nadia Caron

Chief executive officer

Former ML lead at a Big Five bank. Nadia founded FutureAI Soft to bridge the gap between academic AI research and production-grade business solutions. She holds a PhD in computational statistics from McGill University.

Portrait of Samuel Fontaine, CTO

Samuel Fontaine

Chief technology officer

Samuel architected large-scale data platforms at two Canadian unicorns before joining FutureAI Soft. He oversees engineering standards, infrastructure, and our open-source contributions to the ML-ops ecosystem.

Portrait of Elise Marquis, VP of delivery

Elise Marquis

VP of delivery

Elise manages client engagements from kick-off to handover. With a background in agile coaching and supply-chain analytics, she ensures every project stays on scope, on time, and on budget.

Portrait of Karim Bélanger, head of research

Karim Bélanger

Head of research

Karim leads our applied-research lab, where the team evaluates emerging architectures — from mixture-of-experts to state-space models — and translates promising findings into production-ready components for client projects.

Key milestones

A brief look at how we have grown since our founding.

2019 — Company founded

Four researchers incorporate FutureAI Soft in Québec City and land the first two consulting engagements with regional healthcare providers.

2020 — First production deployment

Our NLP-powered document classifier goes live at a national insurance firm, processing 8,000 claims per day and reducing manual review time by 60 %.

2021 — Team expands to 15

We open remote positions across Canada and hire our first dedicated ML-ops engineer, formalising our deployment and monitoring practices.

2022 — European clients

A logistics conglomerate in the Netherlands becomes our first overseas client, leading to a dedicated European support window.

2023 — Computer vision lab

We launch an in-house vision lab equipped with GPU clusters, enabling rapid prototyping of defect-detection and medical-imaging models.

2024 — 35 people, 140+ projects

We cross the 140-project milestone and achieve a 98 % client-satisfaction rating, reinforcing our commitment to quality over volume.