Artificial Intelligence & Machine Learning
Reveal patterns, explore predictions and connect your data to a practical question.
We turn complex data into useful knowledge. AI, advanced analytics and bioinformatics to support your research and innovation projects.
Interactive conceptual visualization · No client data
From scientific scoping to interpretation, support tailored to your data, your objectives and your team.
Reveal patterns, explore predictions and connect your data to a practical question.
Better understanding of your data for sound conclusions and informed decisions.
Organize biological data and build traceable, reusable analyses.
Explore genetic variation, sequences and connections across biological data layers.
Connect variables and models to explore scenarios and support interpretation of your data.
Create value from analysis through reproducible workflows, visualization and methodological knowledge transfer.
Understand microbial communities and their responses to practices and environments.
Build your team’s independence, starting with its questions and data.
No service matches your search. Try “genomics”, “statistics” or “training”.
Our scientific foundation connects biological research, agricultural systems and environmental challenges.
How do agricultural practices influence microbial communities and indicators of soil health?
How can genomic data characterize diversity, differentiation and evolutionary relationships?
Which variables shape your data, and which predictive approaches are worth exploring?
Examples of questions that may be explored, depending on the available data and agreed scope. These are not client results.
Selected completed service assignments in artificial intelligence, bioinformatics and environmental research.
DVIC completed a specialized assignment involving the application of artificial intelligence to assess the implementation status of Model Forest initiatives across Africa and other regions. The project demonstrates DVIC's experience in applying AI-driven analytical approaches to environmental research and international forestry initiatives.
DVIC delivered specialized bioinformatics services for the analysis of metagenomic research data in a project associated with the Faculty of Agricultural and Food Sciences at Université Laval. This assignment illustrates DVIC's expertise in computational biology and the analysis of complex biological datasets.
DVIC completed a service assignment involving statistical analysis and artificial intelligence tools for the RIFM CLIMAT FY2023/24 project, associated with the African Model Forest Network and Université Laval. The assignment demonstrates DVIC's capabilities in applying quantitative and AI-based analytical approaches to climate-related and environmental research initiatives.
DVIC completed a specialized assignment focused on the valorization of agroforestry research data. The project illustrates the company's experience in supporting the analysis, interpretation, and practical use of scientific information in agroforestry research.
Institutional references identify the context of the assignments. Illustrations are conceptual.
An ongoing dialogue between your domain knowledge, data quality and analytical rigour.
Clarify your question, context, data and expected deliverables.
Structure data, review quality and define an analysis plan.
Choose relevant methods and discuss results in context.
Deliver analyses, document choices and build your team’s independence.
Methods, assumptions and limitations are documented to support the interpretation, reuse and transfer of your results.
Rigour · Transparency · TransferScientific leadership, external scientific advisors and research collaborators bring complementary perspectives to DVIC.
Dr. Honoré Tekeu is an Associate Professor at Université Laval and a data scientist at the intersection of bioinformatics, computational biology, artificial intelligence and multi-omics. He applies advanced analytics to agricultural, forest and environmental research.
A background at the intersection of quantitative genetics, genomic prediction and microbiome data.
A profile connecting plant genomics, bioinformatics, agriculture and scientific collaboration.
Members’ academic affiliations do not imply institutional endorsement of DVIC.
DCV grew out of a challenge observed in research and teaching: valuable data do not always reach their potential without the right analytical resources.
Data Valorization & Innovation Center Inc. connects scientific expertise, computational methods and AI to support understanding and innovation.
We believe that meaningful innovation emerges through collaboration. By connecting scientific expertise, technological capabilities, and complementary organizations, DVIC seeks to advance data-driven research, sustainable solutions, and impactful innovation.
Viridis Terra International develops integrated solutions for ecological restoration, degraded land rehabilitation, and sustainable ecosystem management. Its activities connect environmental innovation, ecosystem resilience, and nature-based solutions to address global land degradation challenges.
Logo permission pendingOfficial websiteViridis Terra’s official partnership status, authorization to identify it as a DVIC partner, and logo-use permission remain unconfirmed. Individual affiliations and research-project collaborations do not constitute a formal institutional or corporate partnership.
Tell us about your context, data and objectives. Prepare your inquiry, then open it in your email application to contact us.
Review your inquiry, then open it in your email app. You can also copy or download it.