Our verdict
Vooban launched its AI department in 2017, now has 225 employees, and won a 2026 Octas award for an AI system that saves Aeromag’s partners more than C$1 million a year in aircraft de-icing (Vooban; Le Soleil). It suits a Canadian industrial, logistics, or manufacturing company that wants one partner to build AI into its operations along with the software and data around it, and it is less suited to a buyer outside Canada or one that wants strategy advice without a build.
The right buyer
- Operations-heavy companies. For Aeromag, which de-ices more than 60,000 aircraft a year at 17 airports, it built AI that supports truck assignment and glycol decisions (Aeromag case).
- Manufacturers that need computer vision on the line. For Groupe Canam it built a real-time camera system that checks welds on steel joists as they pass on a conveyor (Canam case).
- Shipping and logistics firms. For Groupe CSL it built models that made arrival-time estimates 30% more reliable and predict fuel use with 96% accuracy (CSL case).
Reasons to look elsewhere
- Its clients and offices are in Canada, so US and European buyers will find fewer references.
- It is built for full builds that combine AI, software, and data, so a buyer wanting a short advisory engagement may find it more than it needs.
Vooban, At A High Level
Kevin Moore founded Vooban in Quebec City in 2011 with two former colleagues, and the firm’s first client was Canada’s Department of National Defence; it stopped consulting in 2017 to focus on projects and launched its AI department the same year (Vooban). The Caisse de dépôt et placement du Québec became its first investor in 2023, it bought the business intelligence firm Stratéjia in 2024, and it opened a Toronto office in 2025 (Vooban).
- Headquartered at 1015 avenue Wilfrid-Pelletier in Quebec City, with offices in Montreal and Toronto (Vooban).
- 225 employees in June 2026, with 70 more hires planned, about 30% growth; we estimate annual revenue at $25 million to $30 million (Le Soleil; Vooban release).
- Services combine AI, data and business intelligence, IoT, cloud, and web and mobile development (Vooban release; Aeromag case).
- Awards include Scale AI’s AI services company of the year in 2023, two Fidéides in 2025, and EY Entrepreneur of the Year 2025 (Eastern region) for Kevin Moore and Hugues Foltz (Vooban).
Scores by criterion
We scored Vooban from its about page, case studies, and June 2026 release, and from Le Soleil’s reporting. Production track record scores highest; commercial clarity scores lowest because it publishes no terms.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 8.0 | Published production cases for Aeromag, Canam, CSL, and others; AI department since 2017. |
| Technical depth | 15% | 7.0 | Machine learning, computer vision, AI agents, data, and software. |
| Industry depth | 10% | 7.0 | Aerospace, logistics, manufacturing, and distribution cases. |
| Delivery model and handoff | 15% | 7.0 | End-to-end builds combining AI, software, and data work. |
| Commercial clarity | 10% | 5.0 | No published rates or minimums. |
| Platform independence | 10% | 6.5 | Builds custom systems; no reseller tie shown. |
| Stability and scale | 10% | 7.0 | Founded 2011; 225 employees; institutional investor since 2023. |
| Independent evidence | 10% | 7.5 | Industry awards and regional and national press coverage. |
| Overall | 100% | 7.0 | Weighted average |
Where Vooban fits
Vooban is used by Canadian industrial, logistics, and distribution companies that want AI built into their operations, from forecasting and vision to agents, along with the software and data systems around it. On price it is a mid-market Canadian firm, below the global consultancies and above offshore development shops. Competitors on this site include Robots and Pencils for Canadian software and AI work, KUNGFU.AI for applied AI consulting, and phData for data and AI platforms.
| Need | Fit | Why |
|---|---|---|
| AI for operations scheduling or logistics | Strong | It built de-icing decision support for Aeromag and arrival-time models for CSL. |
| Computer vision for quality control | Strong | It built Canam’s real-time weld inspection system. |
| AI agents across business departments | Good | It runs AI agents in each of its own departments. |
| A US or European buyer wanting local teams | Weak | Its offices are in Quebec City, Montreal, and Toronto. |
What clients and leaders say
Vooban’s leaders and clients describe its work in published announcements. One buyer concern is written from public facts about the firm.
“AI is becoming a lever that amplifies teams’ capabilities, not just a replacement tool.”
“We calculate a productivity gain of two to three hours per day per employee. That’s huge!”
“Every time I walk in somewhere, I want to have a long-term impact. I want to change things for the better.”
“Their case work in industry was strong and the team was large enough to staff us quickly, but rates were not published and most of their references were in Quebec.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: Vooban’s about page, which lists offices in Quebec City, Montreal, and Toronto, and its Aeromag case.
Who leads Vooban
Kevin Moore founded Vooban and is its chief executive, and Hugues Foltz, a co-owner since 2018, is executive vice-president (Vooban; Vooban).
