Founded in 2021 by Ph.D. scientists from Université Laval, NQB helps industry adopt AI end to end — from computer vision, robotics and operations research to generative AI and voice agents.
Trusted by industry leaders & research partners
Most AI never ships. We work across the entire lifecycle so it does — partnering with your team from first assessment to a system running in the real world.
We identify the highest-impact next steps for adopting AI in your business and lay out a pragmatic, personalized roadmap — including support with grant writing and funding.
We build custom proofs of concept and production-grade AI solutions — working directly on the problem or embedding alongside your engineering teams to reinforce them.
We put models into production with MLOps, ensuring performance, scalability, and reliability — then monitor, maintain, and hand the keys to your team.
AI consulting is crowded with slideware. Here's what makes working with NQB different.
Senior researchers — each with a doctorate and 10+ years in AI — bringing research-grade Bayesian and statistical rigor, not junior contractors.
We don't stop at a prototype. We engineer, deploy, and maintain systems that run in the real world.
Fluent across six AI disciplines, we recommend what actually fits — not the one thing we happen to sell.
We help you tap R&D funding (SR&ED, NRC IRAP, and provincial programs) so your AI project costs less than you'd think.
Our scientists publish at the top AI venues — NeurIPS, AAAI, UAI — and bring that same rigor to every industrial engagement.
Autonomous and pragmatic, we integrate with your people and hand over the keys — we build capability, not dependency.
We're applied scientists first. Fluent across the disciplines that make real-world AI work — and grounded in rigorous statistics and Bayesian methods — we pick the right tool for your problem, not the one we happen to sell.
Helping machines understand, interpret, and generate human language — chatbots, entity recognition, and turning unstructured text into actionable intelligence.
Interpreting images, video, and hyperspectral data — detection, 3D vision, and inspection for quality control, security, and medical imaging.
Advanced mathematical modeling and optimization for complex decisions — scheduling, routing, supply chain, and resource allocation.
Perception, sensor fusion, state estimation, and intelligent control for systems that act autonomously — from industrial automation to drones.
Fusing LiDAR, radar, cameras, inertial units, eddy-current and 3D laser-profilometry signals to give machines a reliable read on the world.
Deep generative models for content, code, and conversation — including agentic chat and voice assistants that automate real workflows.
We adapt to how your business already runs, integrating from data collection all the way to operational systems.
We dig into your data, workflows, and goals to find where AI creates measurable value — and where it doesn't.
We validate the hardest assumptions fast with a focused proof of concept, so you invest with evidence, not faith.
We engineer the production system: models, data pipelines, and the software that wraps them — tested and scalable.
We deploy into your operations, monitor performance, retrain as data shifts, and hand your team the keys.
AI adoption looks different in every sector. We bring domain-aware solutions to the industries we know best.
Quality inspection, predictive maintenance, and process optimization.
Perception, hyperspectral imaging, and signal analysis for demanding environments.
Automated defect detection and characterization in inspection data.
Vision-guided robotics and 3D profilometry on the production line.
Imaging, signal analysis, and lab automation for research and diagnostics.
Optimization, product fingerprinting, and resource planning.
A sample of what applied AI looks like when it leaves the lab and runs where the work actually happens.
Deep neural networks with Bayesian inference detect and characterize defects in eddy-current inspection signals, deployed to production via ONNX.
3D laser profilometry and semantic segmentation guide robotic cutting on food-processing lines, adapting in real time to each piece.
Turning images of manufactured products into unique digital signatures for tamper-evident traceability across the supply chain.
Deep learning on temporal LC-MS metabolomics data to predict plant yield, with custom network layers built for spectrometry.
Voice bots and conversational agents on our own VOIP infrastructure — handling reservations, generating reports, and automating back-office communication with low-latency, real-time speech.
NQB was founded in 2021 by Ph.D. researchers trained at Université Laval to turn high-impact ideas into working systems. You work directly with the people building your solution.
Co-founder · CEO & Chief AI Scientist
Ph.D. in Computer Science and associate professor at Université Laval. Specialist in machine learning, Bayesian statistics, and robotics, published at top AI venues (NeurIPS, AAAI, UAI) — with a proven track record of delivering innovative solutions for clients.
Co-founder · CTO & AI Scientist
Ph.D. in Computer Science with expertise at the intersection of machine learning, computer vision, and robotics — turning cutting-edge research into production technology clients rely on every day.
The things prospective clients ask us most.
That's exactly what our Strategic Planning phase is for. We assess your data, processes, and goals and tell you candidly where AI creates real value — and where it doesn't.
Not always. We work with the data you have, help you collect what's missing, and can often prove value on a focused subset before scaling.
Usually with a short consultation, followed by a focused proof of concept that validates the hardest assumptions — in weeks, not months — before any major investment.
Yes. We have deep experience with R&D funding and grant writing (SR&ED, NRC IRAP, and provincial programs) and factor it in from the start.
Absolutely. We can deliver end-to-end or embed alongside your engineers to reinforce them and transfer knowledge.
You do. The deliverables and intellectual property from your engagement belong to you.
Tell us about your challenge. We'll come back with a candid, practical read on how AI can help — and whether it should.
