Wepoint, an approach based on three complementary pillars

At Wepoint, we support our clients in creating tailor-made solutions at the intersection of data, data science, AI, generative and agentic AI. We rely on our centers of excellence, academic partnerships, and our ability to co-develop with a focus on sustainable and demonstrable value.

Our approach is built around three complementary pillars, designed to address the full range of challenges related to information, intelligence, and innovation — from strategy to operational implementation.

Strategy & governance

We are involved from the early stages to define and govern robust transformation trajectories, adapted to business, regulatory, and technological challenges. Our teams help to align strategic vision, operational excellence, and compliance.

Our offerings

  • Maturity assessment & strategic roadmap
  • Data governance, traceability & lifecycle management
  • Data/AI/generative & agentic AI portfolio management
  • Obsolescence management and sovereign cloud migrations
  • Security, architecture, resilience & regulatory compliance

Case studies

360° data & AI maturity assessment for a major Canadian player in air transport infrastructure, leading to governance overhaul, systems compliance, and roadmap deployment.

Design of a data governance policy for a leading banking institution: governance, security, lifecycle, and lineage.

Infrastructure & data

We design, implement, and industrialize high-performance, sustainable, and governed data & AI platforms capable of handling massive volumes and real-time flows, while ensuring quality and traceability.

Our offerings

  • Modern data architectures (medallion, mesh, lakes)
  • Real-time ETL/ELT pipelines & IoT integration
  • Integration of heterogeneous sources, normalization, and modeling
  • DataOps / DevOps / CI-CD
  • Data quality, metadata, and observability
  • Cloud integration (AWS, Azure, GCP, OVHcloud, Micrologic)

Case studies

Development of a data lake on Azure for a major player in electric distribution, including real-time ingestion, cleaning, enrichment, modeling, and unified dashboards.

Industrialization of a multi-cloud ETL/ELT pipeline for an energy provider, combining Databricks and Azure.

DevSecOps support for a data hub in a highly constrained environment.

ML, AI & generative AI

We develop custom AI solutions focused on user (human or artificial) productivity, combining algorithmic excellence, energy efficiency, and smooth user experience. With our unique expertise in French-language natural language processing (TALIA) and our close ties to major research labs, we implement hybrid, reliable, and explainable AI systems.

Our offerings

  • Agentic AI (planning, orchestration, contextual memory, reasoning)
  • Integration, scaling, and securing of generative AI models, including RLHF, RAG, fine-tuning, and distillation for highly specific industrial use cases
  • Multimodal agents (text, image, video, code, audio) and conversational interfaces, including voice (call centers) and education (personalized coaching)
  • Consumption audits (carbon & water) & carbon footprint reduction (frugal AI)
  • Bias detection, model robustness & explainability

Case studies

Development of a specialized multi-domain conversational platform (banking, finance, real estate) for a major player in Quebec, connected to internal document and regulatory databases, secured in line with internal policies.

Integration of a multimodal (audio and text) solution into the support tools of a hospitality industry player to improve field team autonomy.

Creation of a generative AI project management assistant combining internal documents, emails, and databases for a large tech company.

Contacts