Data and AI consulting for enterprise digital transformation
KPI Digital is a Montreal-based consulting firm built around data, analytics, and AI strategy for mid-market and enterprise clients. The tech stack is deeply rooted in cloud platforms (AWS, Azure, Snowflake, Databricks) and orchestration tooling (Airflow, Dagster, Spark, Flink), with emerging AI/ML infrastructure (PyTorch, TensorFlow, Hugging Face). The hiring mix skews heavily toward data and analytics leadership (4 director-level roles, mostly data-focused) alongside mid-level individual contributors — a pattern typical of scaling consulting practices that need senior client-facing advisors and junior execution capacity.
Notable leadership hires: Data & Analytics Director
KPI Digital advises manufacturing, retail, consumer goods, insurance, mining, banking, and healthcare organizations on data strategy, analytics modernization, and AI implementation. The firm offers end-to-end engagement from roadmap development through delivery, with particular strength in cloud migrations (legacy systems to AWS/Azure), data integration from fragmented sources, and commercial AI use-case validation. Active projects span cloud-based digital evolution, analytics transformation, and legacy data migration — areas where the firm helps clients balance immediate delivery constraints against longer-term modernization goals. Privately held since 2001, the firm operates from Montreal with current hiring focused in Canada.
AWS, Azure, Snowflake, Databricks, Apache Spark, Airflow, Dagster, dbt, Python, SQL Server, PyTorch, TensorFlow, Hugging Face, SAS, and Power BI. Stack signals a cloud-first, data-pipeline-heavy practice.
15 industries including manufacturing, retail, consumer goods, insurance, mining, banking, and healthcare. Focus areas are performance management, analytics, customer data platforms, and RPA/BPA.
KPI Digital Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.