Skip to main content

QSnxt

QSnxt is an AI-native company and R&D lab that guides private and public organizations through digital transformation with sovereign, secure AI designed in Québec. The company operates three practice lines—manufacturing (physical AI, digital twins, AI-native MES/ERP), higher education (open-source LMS, serious games), and sports (performance analytics)—each combining consulting with proprietary platform development. Its approach places the AI model at the center, using a thin interface while keeping client data where the organization chooses.

Montreal, Canada · HQ
Founded 20218500+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Most organizations adopt AI as an add-on layer—a chat window bolted onto legacy systems designed decades ago—rather than a genuine restructuring of their operations. This piecemeal approach fails to deliver meaningful digital transformation, leaving processes, data, and skills disconnected and underutilized.

Solution

QSnxt provides end-to-end digital transformation for private and public organizations by placing the AI model at the center of operations, with a thin interface and data positioned wherever the client chooses. The company operates three specialized lines—manufacturing, higher education, and sports—each functioning as both a consulting practice and a lab that ships its own platforms. Every client engagement feeds R&D, which flows back into product improvements. QSnxt works through diagnosis, architecture, implementation, and knowledge transfer to internal teams, ensuring the transformation is sustained beyond the initial project.

Target Audience

QSnxt serves private and public organizations undergoing digital transformation, specifically factories and manufacturers, universities and higher-education institutions, and sports organizations ranging from professional clubs with analytics teams to amateur clubs relying on spreadsheets.

Features

  • QS ai for manufacturing: physical AI, digital twins that simulate production lines, and an AI-native MES/ERP integrating planning, quality, and maintenance in one system that learns from the plant
  • QSnxt Education: ScholaRef research-pipeline workspace, Cursus open-source AI-native LMS free for all schools, and serious-game simulations including the Chips War Game (Edteq Excellence Award 2024)
  • p3rf.ai for sports: performance analytics platform that transforms training and game data into coach-defensible decisions, with load tracking, injury-threshold detection, and written reasoning for each call
  • Unified analytics approach across professional and amateur sports, with the same platform features and pricing adjusted by club level
  • AI-native architecture placing models at the core rather than overlaying them onto existing systems
This profile is AI-generated and may contain inaccuracies.