Not slide-deck prototypes. Not vaporware demos. Real, production-grade intelligent systems — designed around your data, your constraints, and your definition of success. Based in Sherbrooke, deployed everywhere.
Show me what's possibleSix core competencies. Each one battle-tested across industries from logistics to healthcare, fintech to agriculture.
Forecast demand, churn, maintenance windows, or revenue with models trained on your historical data. We handle feature engineering, drift monitoring, and retraining pipelines so the predictions stay sharp month after month.
Quality inspection on manufacturing lines, medical image analysis, autonomous drone navigation — our vision pipelines run on edge devices or cloud clusters with equal reliability. We optimise for your latency and accuracy targets.
From multilingual chatbots to contract clause extraction, sentiment analysis to automated summarisation. We fine-tune large language models on your domain vocabulary so they understand the jargon that matters.
Personalised product suggestions, content feeds, or next-best-action workflows. We blend collaborative filtering with deep learning to surface items your users didn't know they needed — boosting engagement and revenue per session.
Garbage in, garbage out — so we engineer the "in" meticulously. Real-time streaming, batch ETL, data lakehouse design, and automated quality checks. Your models are only as good as the plumbing beneath them.
Continuous integration for machine learning: versioned datasets, experiment tracking, automated A/B testing, canary deployments, and audit trails. We make sure your models are reproducible, explainable, and compliant.
No waterfall. No six-month discovery phase. We move in tight, iterative loops — each one delivering a measurable outcome.
We embed with your team for two weeks. We audit existing data assets, interview stakeholders, and map the decision points where AI can create the most leverage. The output is a prioritised opportunity matrix — not a generic roadmap.
A working proof-of-concept on real data, deployed in a sandbox. You interact with it, stress-test it, and tell us where it falls short. We iterate daily until the prototype earns your confidence.
We refactor the prototype into production-grade code: containerised, monitored, load-tested, and secured. API endpoints get documented. Failover strategies get implemented. Nothing ships until it survives our chaos testing suite.
We deploy alongside your engineering team, run a structured handoff workshop, and set up alerting dashboards. You own the system — we stay on retainer only if you want us to.
Models decay. Data drifts. We offer continuous monitoring contracts that detect performance degradation early and trigger automated retraining pipelines before your users notice a thing.
Two recent engagements that show what our AI software does in the real world.
If yours isn't here, scroll down and ask us directly.
There is no "typical" — a focused NLP chatbot might run $40K–$80K, while a full predictive analytics platform with real-time streaming can reach $200K+. We always start with a scoped diagnostic so you get a fixed quote before committing.
Not necessarily. We can operate as your embedded AI department, or we can augment an existing team. Our knowledge-transfer workshops ensure your engineers can maintain and evolve the system after handoff.
Most data is. Our diagnostic phase includes a data quality audit. We build cleaning, imputation, and enrichment pipelines as part of every engagement. Sometimes the biggest ROI comes from fixing the data layer, not the model layer.
Absolutely. We deploy on AWS, GCP, Azure, or on-premise. We are cloud-agnostic and use infrastructure-as-code so the deployment is reproducible regardless of provider. We also support hybrid setups for organisations with data residency constraints.
Every model we ship goes through a fairness audit. We measure disparate impact across protected attributes, apply debiasing techniques where needed, and document everything in a model card. Transparency is non-negotiable.
Healthcare, logistics, fintech, agriculture, and e-commerce are where we have the deepest domain expertise. That said, our methodology is transferable — we have successfully delivered projects in energy, education, and government as well.
Describe what you're trying to solve. We'll respond within one business day with honest feedback on whether AI is the right tool — and if it is, what the first step looks like.
