About

AutoAlign is a Toronto-based Ontario corporation founded in 2023 with 13 full time employees. The team is led by CEO Dan Adamson and CTO Rahm Hafiz. The company is based on technology developed over several years with recognition of a need to optimize technical processes in industrial verticals including construction and manufacturing. AutoAlign’s AI platform increases performance and reliability of enterprise AI solutions in mixed-modal contexts including images and videos. With the right guardrails in place, AutoAlign can properly combine multi-modal data streams, mitigate hallucination and other errors, making the model more useful. This increases performance and ensures the AI behaves as expected.

Project

Through collaboration with the McMaster Manufacturing Research Institute (MMRI), AutoAlign will develop and validate AI agents capable of real-time task guidance and SOP adherence across diverse industrial equipment. The six-month project will deliver a working prototype that interprets the physical environment through computer vision and augmented-reality overlays, guiding workers hands-free through complex procedures. Using adaptive AI that learns from each interaction, the system will continuously refine its guidance accuracy and adjust to varying operator skill levels and equipment configurations. MMRI provides access to robotic, CNC, and automated systems for training and validation, ensuring the solution generalizes to real-world production environments.

Impact & Outcomes

The project will yield a commercial-ready AI assistant platform proven to enhance manufacturing productivity by 15–30%, reducing training time, error rates, and downtime. AutoAlign projects the creation of 12 new engineering and 6 support positions within 18 months in Ontario, with first-year licensing revenues exceeding $5 million and up to $40 million over three years. The validated system will serve as a case study for AI-augmented manufacturing, strengthening Ontario’s leadership in human-centric automation. Broader sectoral benefits include reduced training costs, higher quality control consistency, and expanded adoption of AI technologies that augment rather than replace the industrial workforce.