Current
problem
Feeding cost = 50-80% of total biz cost
But, no effective ways to optimize the operation.
• Sizing & Counting are done manually on occasional basis.
• Feeding is done with non-optimal timing and amount.
Solution: Automated AI fish counting, sizing,
hunger analysis to optimize the feeding
• Reducing operation cost by 20%
• Reducing pollution by 17%
• Increasing profit margin by 26%
• Accelerating production speed by 33%
Current Problem in AI:
Manual Data Collection & Annotation for
Training Dataset Are Too Painful
Nereus platform overview
Fish farm
Video feed
Nereus management
cloud
Video frames
Remote control
& optimization
Nereus AI
Automated
feeding & food
management
Harvest timing
optimization
Analytics
The world now produces more seafood
from fish farms than wild catch
$285B
Aquaculture
20M
People Employed
Globally
Over 3 billion people rely on seafood as a primary source of protein.
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GAGR =4.5%
Pricing model (SaaS)
- $200/month x The Number of Fish Cages*
- Enterprise Pricing Beyond 50 Monitored Fish Cages
*Fish cage size < 12x12m, anything larger costs extra fee
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1.5M active fish farms globally.
Competition
Computer
Vision
- Aquabtye
- Tidal (Google Moonshot)
- Umitron
Aquaculture
Products
- AquaManager
- Cermaq
- eFishery
- Esa-Robo
Nereus uniquely
combines three
segments,
delivering a
sustainable
advantage to our
customers and
investors.
Nereus
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Team
Masaki Nakada, PhD
CEO
World class researcher at intersection of
biomechanics and computer vision
Ph.D. computer science, UCLA
Post-doc at UCLA computer graphics & vision
lab
Fobes next 1000, MIT innovators U35 award
Bill Manci
Biz dev advisor
President of fisher technology
associates
45 years of aquaculture
experience
Zohaib Khalid
Backend engineer
Alfin Nurhalim
CV research engineer
Hiro Shiono
CV research engineer
Donovan Westwater
Simulation research engineer
Salah E. Zaidi
Simulation research engineer
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