We believe the best AI systems are built by people who study intelligence and study people. We are senior AI and cognitive science researchers based in Canada. We advise organizations on problems at the intersection of data, AI, and human decision-making.
Start a conversationSometimes the most important question isn't how to build it, but what 'it' actually is. We work with organizations to help you frame the problem effectively, assess the feasibility and impact, and make confident decisions. We also deliver executive briefings and workshops for leadership teams on current AI capabilities, limitations and architectures.
For investors, grant agencies, and finance staff evaluating AI initiatives — we provide independent technical due diligence. We know how to tell the difference between a compelling demo, and a transformative system people will want. We help you identify the hidden opportunity — in infrastructure, hardware, or energy — that turns out to matter.
We advise organizations on how to build systems that are technically deep, cost-efficient, and integrated into your organization's workflow. From data pipelines to system architecture — we optimize your AI investment so it compounds over time.
You want to know what your data means, and what you're missing. We design analytics pipelines, statistical models, and behavioural analyses that go beyond describing what happened — to understanding why, and what's likely next. We work across the full range — from modernizing your day-to-day workflow, to building the models that drive your most complex decisions.
We start with your problem – what are you trying to solve with AI? Where is your product failing to get traction? What are the obstacles in adoption of AI? Is it realizing value? How would people use it, and what does the data actually represent? We bring research-level insight into how intelligence works, human and machine, and apply it directly to your problem. We are insiders to AI: researchers who have spent careers at MIT, Harvard, Berkeley, Stanford, Singapore, Vector Institute, and the University of Toronto. You work directly with one of us. Boutique team. Work directly with senior partners.
A group of researchers with active academic positions. We study intelligence — human and machine — and build systems informed by that understanding.
AI researcher. Cognitive scientist. University of Waterloo | MIT. Holds several NeurIPS paper awards and AI patents. Studies how intelligent systems - human and machine - reason, plan, and learn. Applies that thinking to consulting in data systems, AI design, safety and adoption, behavioural modelling, and strategy.
Deep learning researcher. PhD supervised by Nobel laureate Geoffrey Hinton. Research Scientist, Google Brain. Canada CIFAR AI Chair, Vector Institute. Professor, Dalhousie University. Research and consulting across medicine, finance, education, oceans, and creative sectors. Award-winning musician.
Human-Computer Interaction, Statistics, & AI researcher. Berkeley/Stanford/Harvard|University of Toronto. Uses Adaptive A/B Experimentation and human-computer interaction to help organizations discover when AI does and doesn't work – and adapt to different contexts. Won $1M XPRIZE for the future of AI based Experimentation.
Generative AI and mechanistic interpretability. NeurIPS Area Chair. Studies how large AI systems work internally to understand and auditing model behaviour. Advising companies on AI system design, evaluation, and responsible deployment.
End-to-end design of a multi-source data ingestion and analytics system — consolidating fragmented operational data into a queryable architecture with live dashboards.
Evaluating the scientific plausibility of brain-computer interface narratives for a major streaming platform's original content — drawing on current neuroscience and AI research to ensure technical credibility.
Evaluating cognitive science and AI research proposals for scientific rigour, feasibility, and potential for real-world impact.
operating across US and Canadian jurisdictions — including consent architecture and privacy-by-design principles.
AI-powered text mesaging system that helped over 10,000 users change the behaviours they specified.
Applications include teaching users to use products, managing mental wellbeing, data science and programming support and training, marketing, persuasive communications.
Tell us what you're working on — the earlier in the process the better.