Alumni Profile
CVision AI: from imagery to insights
Turning imageryinto insights
CVision AI develops innovative video analytics products that harness the power of computer vision and artificial intelligence, enabling their customers to get the most out of their video data. The company’s products have been used in several applications ranging from analyzing fisheries, to exploring the deepest reaches of the ocean, to monitoring shipping traffic. CVision AI has collaborated with NOAA, National Geographic, and the National Fish and Wildlife Foundation.
Building an image library for fisheries
NOAA hired CVision AI to install computer vision cameras in the wet lab on the Henry B. Bigelow.
UN Sustainable Development Goals
Larta Programs
- SBIR/STTR National Oceanic and Atmospheric Administration (NOAA)
Larta Products
- Commercialization Strategy Report
- Business Development Kit
- NOAA CAW Demo Day
Founders
Ben Woodward
Co-founder & CEO
CVision AI
Jonathan Takahashi
Co-founder & COO
CVision AI
Connect
Larta helped us solidify our commercialization plan for Tator, including our OpenSaaS business model and setting key near and long-term objectives to acquire new customers and expand our footprint with existing customers. Larta has access to a vast network of experts and professionals which we found invaluable as a very technically focused company. Whenever we needed help or advice, they knew the right person to talk to.
Jonathan Takahashi
COO
Alumni News
March 4, 2022
On International Open Data Day, Experts Share How the Future of Seafood Could Rest With Artificial Intelligence
Increased use of open data in electronic monitoring could help ensure a sustainable future for international fisheries.
February 18, 2021
EDF’s SmartPass program aims to bring artificial intelligence to US fisheries management
Environmental Defense Fund (EDF) is launching a new program with the aim of improving data collection and fisheries management.
November 26, 2019
FathomNet: Oceangoing platforms are integrating high-resolution, multi-camera video feeds for scientific observation and navigation, producing a deluge of visual data.
The volume and rate of this data collection can rapidly outpace researchers’ abilities to process and analyze them.
