Infera AI

Infera AI is founded and led by world-class experts in machine learning and engineering from the University of Toronto, we develop the machine learning engine needed to power advanced AI innovations for industries. Our leading AI research has culminated in our data-driven AI platform built to support a range of industrial AI applications including data analytics, quality assurance, process optimization and control, predictive maintenance and monitoring, as well as design exploration and optimization. We bring statistically rigorous machine learning to help our industry partners to navigate through their digital transformation. Specifically, we work closely with industry partners to build high quality digital twins that incorporate subject-matter expertise, constraints, and physics, requiring dramatically less data, allowing faster cold starting, and providing more confident and accurate predictions. We capture all sources of uncertainty using our proprietary Reliable Inference Engine, providing error bars for all predictions and consequences and knowing if there is not enough data to make a decision. We are experts in bridging the gap between manufacturing and the state of the art in AI. The greatest impacts for industry 4.0 will be seen when there are manufacturing subject-matter experts working closely with AI-experts, and this is precisely how we have structured our company. At Infera, we continue to perform leading machine learning research to help innovate industrial solutions to increase competitiveness of our industry partners, accelerate AI adoption, and to reduce expensive and time-consuming operations. Infera AI is proud to be the alumni of Canadian Technology Accelerator and the alumni of University of Toronto Early Stage Technology.

Website

https://infera.ai/

External link for Infera AI

Industry

Software Development

Company size

2-10 employees

Headquarters

Toronto, Ontario

Type

Privately Held

Specialties

Machine Learning, AI, Data Driven, Digital Twin, Smart Manufacturing, Process Optimization, Predictive Control, Design Optimization, and Design Exploration