ReelData, an artificial intelligence startup based in Halifax, recently raised $10.6 million in a Series A funding round. The funding was led by Chicago-based Buoyant Ventures as well as agriculture-focused investors including S2G Ventures and The Nest Family Office.
ReelData was founded in 2018 by Mathew Zimola and Hossein Salimian with the goal of solving issues around food production by supporting land-based aquaculture. The company’s first product, ReelAppetite, can identify fish population appetite and adjust feed levels based on that tracking. This allows farmers to save millions of dollars annually by reducing wasted feed, according to the company.
ReelData intends to launch another product, ReelBiomass, which tracks the size and weight of fish populations. This new funding round will allow the company to develop a precise and autonomous operating system.
The development of robotaxis from companies such as Waymo LLC and Zoox, Inc. has sparked broader conversations about how autonomous vehicles will integrate into everyday life. For this integration to…
The Business Development Bank of Canada (“BDC”) has indicated it may ease restrictions that have historically limited venture capital funds it backs from investing in defence-related technologies…
Toothpod, a Toronto-based startup, has launched a portable, chewable tablet that anyone can use to clean their teeth. The company was co-founded by Vishar Yaghoubian, an emerging entrepreneurial star…
Cohere Inc. (“Cohere”), a Toronto company focused on developing enterprise AI, announced its partnership with Thales Canada Inc. (“Thales”). Thales is a leader in advanced defence and digital…
The federal government’s newly announced C$358 million initiative to strengthen Canada’s defence supply chain represents a decisive step toward fortifying the country’s sovereign and military…
Scientists have detected what they believe are crackles of lightning on Mars. NASA’s Perseverance rover, which landed on Mars in February 2021, carries a microphone that picked up pops of small…
