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Aquabyte

Food · San Francisco, United States · Founded 2017

Aquabyte is a pioneering startup that leverages artificial intelligence (AI) and machine learning to revolutionize the aquaculture industry. With a presence in both Silicon Valley, USA, and Norway, the company combines cutting-edge technology from the innovation hub of Silicon Valley with deep expertise in Norwegian fish farming. This dual-location strategy ensures that Aquabyte remains at the forefront of technological advancements while staying grounded in practical industry knowledge. Aquabyte primarily serves fish farmers, providing them with advanced tools to optimize their operations. The company's technology focuses on automating critical tasks such as lice counting and biomass estimation. By using AI and machine learning, Aquabyte's systems can analyze underwater images to provide accurate data on fish health and growth. This helps fish farmers make informed decisions, reduce costs, and improve the overall efficiency of their operations. The market Aquabyte operates in is the global aquaculture industry, which is growing rapidly as the demand for seafood increases. The company’s business model is based on a software-as-a-service (SaaS) approach. This means that clients subscribe to Aquabyte's services and pay a recurring fee to use their technology. This model provides a steady stream of revenue for Aquabyte and ensures that clients receive continuous updates and improvements to the software. Aquabyte makes money by charging fish farmers for access to its AI-powered platform. The subscription fees vary based on the size of the operation and the specific services required. Additionally, the company may offer premium features or add-ons for an extra cost, providing further customization and value to its clients. In summary, Aquabyte is transforming the aquaculture industry by providing innovative AI solutions that help fish farmers optimize their operations. The company operates in a growing market, serving a specific niche with a robust SaaS business model that ensures recurring revenue. Keywords: AI, machine learning, aquaculture, fish farming, lice counting, biomass estimation, SaaS, Silicon Valley, Norway, innovation.

Valuation $100–500M
Revenue $10–50M
Headcount 100–500
Total funding $50–100M
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Investors

14 investors on Aquabyte's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 3 investors entered at this stage
NEA
Costanoa Ventures
Princeton University
Series A 10 investors entered at this stage
Struck Capital
Alliance VC
Alaya Capital Partners
Alumni Ventures
SBVA
SoftBank
Alliance Ventures
Westerly Winds
ArcTern Ventures
The Nature Conservancy
Series B+ 1 investor entered at this stage
Vitruvian Partners

Global footprint

Where Aquabyte has talent and traffic

Workforce by country
8 countries with
team presence
🇳🇴 Norway46.7%
🇺🇸 United States33.3%
🇨🇱 Chile13.3%
🇪🇸 Spain1.3%
🇿🇦 South Africa1.3%
Top 5 of 8 shown

Talent graph

The shape of Aquabyte's talent

Dealroom maps Aquabyte's team person by person — pinpointing the standout operators and scoring them across the six dimensions investors underwrite. The counts and shape below are a public preview; the named individuals and exact scores live in the platform.

17 team members profilednamed & role-tagged by Dealroom
101 employeestotal headcount
3 executives & foundersidentified by name
DimensionScore
AI Talent Score hidden — book a demo
Engineering Score hidden — book a demo
Product Score hidden — book a demo
Go-to-market Score hidden — book a demo
Leadership Score hidden — book a demo
Research Score hidden — book a demo
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Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.

Market sentiment

What the market is saying about Aquabyte

An AI-synthesized read of the highest-engagement posts about Aquabyte on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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