Toronto-based Atomic Reach — which is building an AI platform that measures content readability — announced that it’s raised $2 million from private angel investors.
Atomic Reach’s platform, called Atomic AI, is targeted to users trying to measure the impact of certain language on their marketing communications. The company said that it uses “advanced mathematics, linguistic analysis, and machine learning technology” in its platform, which provides real-time feedback on the structure, style, and language of content according to the needs of certain audiences. In the end, users receive a certain score when the article is ready to be published.
“For example, you would likely want to target people who are knowledgeable about tech, and perhaps want to engage those who have a general interest without being terribly tech savvy,” the company said in a statement. “Atomic AI would guide you towards better words and constructs for these readers, rather that using language better suited towards tech experts.”
To date, the company has raised $9 million for its platform. “We used our initial investment capital to support R&D and development of the platform, and the funds from our latest round will support sales and marketing growth as we move our business model to enterprise users,” said Bradley Silver, CEO and co-founder of Atomic Reach.