Adeptmind offers a human-and-AI powered software solution that improves online search and product discovery by mining customer intent from sources like reviews and articles and deriving topics/keywords. The company’s architecture combines deep active learning and human curation to bootstrap data quickly and claim high accuracy in consumer-facing use cases. Adeptmind plans to use new capital to double down on R&D, build new online tools based on customer-intent analysis, and pursue AI-guided reviews and guided discovery paradigms. The startup aims to reach more retailers and shopping centres across North America and internationally (Asia, the Middle East, South America). Today it serves more than 400 retailers, shopping centres, and SMBs in North America and Europe. Prior to the raise it was cash-flow positive; the CEO said the funding was needed because the company could not serve new customers without more resources. The company currently employs about 30 people and plans to add roughly 10 more by year-end; the CEO estimates the raise provides about three years of runway if the team doubles. Adeptmind builds a self-aware search engine for e-commerce that applies deep learning, active learning, reinforcement learning, and transfer learning to improve product discoverability and reduce "no results" outcomes. The product emphasizes easy integration without altering site look-and-feel, continuous learning, self-adapting metadata scraping of user sentiment, and question-answering and free-form query support. Adeptmind positions its technology to increase conversion, reduce metadata-tagging costs, and replicate in-store sales assistance online. The company announced additional seed funding and reports total funding of $5.5 million to date. A sizeable portion of the funding will launch the Adeptmind Scholar Fellowship, which grants $30k scholarships to 20 university students; scholarships have been awarded at NYU’s Center for Data Science and The Courant Institute, with additional gifts pending internationally. Adeptmind was founded in 2016 by G Wu and Jing He and is based in Toronto, Ontario.

Total raised

$7M

Funding rounds

2

Latest round

Series A

Latest activity

Jun 2021