Elevate your research with precision analytics, sophisticated statistical modelling, and custom machine learning algorithms tailored to your unique objectives.
Trusted by Innovative Organizations
Comprehensive Analytics Suite
From raw data to actionable strategy, we provide end-to-end scientific rigor and support.
Rigorous experimental design and implementation. We structure your survey research, randomized trials, and everything in between, to ensure data integrity from day one.
Powerful analysis to uncover trends in complex datasets. Whether for marketing, healthcare, or R&D, we turn noise into clear, statistical evidence to guide your decision-making.
Custom, self-optimizing algorithms designed for your specific large datasets. We build the intelligent systems that maximize your returns automatically.
Scientific Rigor Meets Business Strategy
We don't just run models; we engineer reproducible data pipelines that turn complexity into clarity.
Data quality starts at the source. We construct robust survey architectures and experimental protocols ensuring your data is statistically sound before the first datapoint is collected.
Beyond simple averages. We utilize Multivariate Regression, Bayesian Inference, and Structural Equation Modelling to extract signal from noise in high-dimensional datasets.
Transparency is key. We build reproducible pipelines and clear visualizations, delivering a verifiable data story that empowers you to make confident strategic decisions.
Technical Toolkit & Biotech Applications
Meet the Experts
A team driven by curiosity, academic excellence, and practical application.
Biostatistician
Sean holds a PhD in Psychology & Neuroscience from Dalhousie University and brings over a decade of experience in high-dimensional data analysis. Specializing in complex healthcare outcomes, he has expertise in multivariate statistics and machine learning implementations. Sean bridges the gap between rigorous academic methodology and actionable strategy.
Data Scientist
With a PhD in Neuroscience and extensive experience in computational modeling, Jack leads the development of reproducible analytical pipelines. He specializes in handling high-dimensional data and applying advanced Bayesian inference to solve complex problems. Jack connects raw code with strategic insight.
Market Researcher
Kira is a Halifax-based consultant with twenty-five years of experience in market research and value added analysis, including extensive work in oncology and other healthcare areas. She blends qualitative, quantitative, and advanced analytics to deliver clear, insightful narratives. She’s known for sharp problem-solving, thoughtful KPI development, and responsive data exploration.
Claudia E. Youakim
CIBL for women, American University of Beirut
"The Intercept Analytics team have been enthusiastic and detail-oriented researchers and problem solvers. They have contributed positively to our regional project through a series of strategy sessions, where they designed and implemented tangible, streamlined, and long-lasting solutions for our complex mixed-methods data. Their work has been extremely conscientious and organized, and it is a great pleasure to work with them. Additionally, they have taken complex data processes and made them translatable to various audiences, which is a bonus for our interdisciplinary team. We would hire them again, without a doubt."
Walter Meyer
Senior Researcher, Cooperation-International
"Intercept Analytics are experts for handling challenging dataset issues. They are able to understand complex problems fast and provide sophisticated solutions that exceed expectations."
Sean Glynn
Director, HEOR and Strategic Initiatives, HealthBeacon
"Intercept Analytics' work on our project was creative, well grounded and well explained! It helped us use the data we uncovered to tell a story that was meaningful and impactful."
Bhavisha Parmar
Senior Audiologist, UCL Ear Institute
"Intercept Analytics has been a fantastic help with data visualization and analysis throughout our project. They have communicated and explained complex statistical models in ways I could better understand and relate to my work and replied quickly to queries. I would highly recommend their work for future projects."
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