Correct-AI: Solving the problem of autonomous vehicles while making construction sites safer for heavy-duty industrial equipment operators

In the last decade, many predictions came out of Silicon Valley on when autonomous vehicles would be hitting roads—in fact, a lot of people expected that self-driving cars would be a common sight in 2021. In 2015, Elon Musk infamously declared that fully functional self-driving cars were just two years away. Five years later, in July of 2020, Musk again predicted that by the end of the year, Tesla would have fully autonomous cars on the road. Safety, however, is the biggest technical challenge this industry is facing to turn these predictions into reality. And the industry won’t scale until the problem of safety is solved.

The Edmonton advantage – Where market access, AI talent, and favourable climate conditions converge

The Edmonton region has been the ideal locus for Correct-AI’s boom. Many reputable and established construction companies are based here and customers of Correct-AI. And to the company’s delight, the region’s northern connections provide quick access to the lucrative energy sector centred in Northern Canada. The regulations and culture established by Alberta businesses are unmatched and striking deals with them reinforces the confidence and trust placed within Correct-AI. 

“Being located in one of the world’s top artificial intelligence centers also has its advantages,” says Siamak. The University of Alberta, ranked 3rd globally for AI research, is a great source of top-tier tech talent to support their product development. Correct-AI has collaborative relationships with professors in labs working on computer vision and autonomous solutions and has a direct connection to the recruitable talent graduating from them.  

Siamak also believes the Edmonton region is the place to be because it offers the perfect conditions to test and demonstrate the range of their product capabilities—extreme cold temperatures in the winter and hot summer temperatures prove technological reliability across climates.