AI and healthcare technology consulting, focused on clinical workflows and regulated deployments
Toboggan Labs is a 11–50 person consultancy in Montreal building AI and healthcare technology infrastructure for hospitals, health systems, payers, and life sciences companies. The stack — Python, TypeScript, dbt, Airflow, AWS, React, PostgreSQL, MLflow — reflects deep data and ML infrastructure work; heavy hiring of senior engineers and designers signals capacity scaling for concurrent client engagements. Active projects span FHIR integration, trustworthy AI deployment, autonomous agents, and identity management, while pain-point data highlights the core tension: deploying AI in highly regulated environments (HIPAA, controlled infrastructure) where most consulting shops lack embedded healthcare domain expertise.
Notable leadership hires: Product Development Lead
Toboggan Labs advises healthcare enterprises on digital transformation across modernization, clinical tool development, and infrastructure buildout. Originally founded as the technology arm of venture capital studio AlleyCorp, the firm has worked with over 40 healthcare organizations. The team covers clinical data engineering, product design, cloud infrastructure, data science, and software development, addressing a specific market gap: most healthcare organizations struggle to find technologists who understand both modern engineering and healthcare workflows. The consultancy deploys experienced practitioners directly rather than building long-term client teams.
Core stack: Python, SQL, TypeScript, Node.js, React, PostgreSQL. Infrastructure: AWS, Terraform. Data/ML: dbt, Apache Airflow, MLflow. Identity & access: Okta, Okta Workflows, SCIM, Rippling, Jamf.
Product development, FHIR integration, Okta identity management, autonomous agent development, information retrieval systems, trustworthy AI deployment, AWS secure infrastructure, and security automation workflows—all focused on regulated healthcare environments.
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