Ai.Fish
Ai.Fish is a Hawaii-based computer vision software company that builds AI-assisted electronic monitoring and review tools for commercial fisheries, serving government agencies, fisheries management bodies, and electronic monitoring vendors worldwide through its CatchVision platform, API, and edge AI systems.
- Company typePrivate
- Founded2019
- HeadquartersKailua, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Ai.Fish does
Ai.Fish is a Hawaii-based computer vision software company founded in 2019 by James Freese (CEO) and Justin Kay (CTO), focused exclusively on artificial intelligence applications for commercial fisheries electronic monitoring (EM). The company addresses the bottleneck of costly manual video review in EM programs by applying object detection, multi-object tracking, and species-level classification to footage captured onboard commercial fishing vessels. Its product portfolio centers on CatchVision, a cloud-based AI-assisted video review platform offering trip management, collaborative review, accelerated annotation navigation, downloadable compliance reports, and an Insights Dashboard for real-time catch composition and compliance metrics; the platform is built on Microsoft Azure infrastructure and is designed for terabyte-scale enterprise deployments. Ai.Fish also offers an OEM API for electronic monitoring vendors to integrate automated annotation into existing review platforms, and an expanding Edge AI capability for near real-time onboard analysis using low-powered computing devices.
The company's underlying technology combines computer vision models trained on nearly 2 million domain-specific annotations (covering fish, humans, and fishing gear across Hawaii longline, Alaska Halibut/Sablefish, and Pacific groundfish contexts) with multimodal integration of sensor data (vessel speed, gear entry/exit). Disclosed performance includes 91% average precision in object detection, 88% counting accuracy, and demonstrated operational outcomes of 48% reduction in review time, 46% reduction in review costs, and up to 75% reduction in storage requirements through pre-processing.
Ai.Fish operates a hybrid revenue model combining non-dilutive grant funding (NOAA SBIR, National Fish and Wildlife Foundation, Fisheries and Oceans Canada), SaaS subscriptions for CatchVision, API access fees for EM vendor integrations, and professional services including in-house annotation, custom AI development, AI strategy consulting, and edge/cloud/web engineering. Its go-to-market is a blend of direct enterprise engagement with government fisheries agencies (NOAA, DFO Canada, state and federal programs) and a product-led SaaS channel through CatchVision. The company is headquartered in Hawaii with a distributed multinational team across the US, Canada, Kenya, Spain, and Turkey, operating as Ai.Fish LLC with fewer than 10 employees.
Ai.Fish firmographics
Firmographics- Name
- Ai.Fish
- Legal name
- Ai.Fish LLC
- Website
- https://ai.fish
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Ai.Fish is a Hawaii-based computer vision software company that builds AI-assisted electronic monitoring and review tools for commercial fisheries, serving government agencies, fisheries management bodies, and electronic monitoring vendors worldwide through its CatchVision platform, API, and edge AI systems.
- Ownership category
- akta.pro rank
Ai.Fish industry classification
Industry- Product category
- Computer Vision Software for Fisheries Monitoring
- NAICS
- Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing (334511)
- SIC
- Search, Detection, Navagation, Guidance, Aeronautical Sys (3812), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Video Understanding & Content Moderation (HDAAAEAF)
Keywords
Where Ai.Fish is headquartered
LocationHeadquarters
- HQ city
- Kailua
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Ai.Fish business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales, Supply Chain
Revenue model
- Software Subscriptions: CatchVision software is offered as a cloud-based subscription service for AI-assisted electronic monitoring video review. The platform provides side-by-side review of annotations and electronic monitoring video footage with collaborative review, accelerated annotation navigation, and downloadable reports.
- API Access: Companies with existing review software and electronic monitoring equipment can integrate to Ai.Fish API to access automated annotation powered by computer vision analysis of video footage. Supports single video and batch processing with JSON and CSV results format.
- Professional Services: End-to-end services including in-house annotations (millions of annotations delivered), custom AI solutions (from dataset design to algorithm implementation), AI strategy consulting, web-based user experiences design and implementation, cloud-based systems development, and edge-based systems.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Custom AI Solutions |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels6 records
Ai.Fish product offering
Product offeringCore offering
Ai.Fish develops and sells AI-powered computer vision software for electronic monitoring of commercial fisheries. Its primary product, CatchVision, is a cloud-based web application that automatically detects, tracks, and classifies fish, humans, and gear in EM video to reduce manual review effort. The company also provides an API for integrating automated annotation into third-party review platforms, and offers professional services including in-house annotation, custom AI development, AI strategy consulting, web UX, and edge AI system development.
Product overview
Ai.Fish offers a unified product portfolio centered on AI-powered computer vision solutions for electronic monitoring in commercial fisheries. The core product is CatchVision, a cloud-based web application providing AI-assisted video review with collaborative features and real-time analytics. The Ai.Fish API enables third-party integration of automated annotation capabilities into existing review systems. Supporting these products is a suite of professional services including in-house annotation (millions of annotations delivered), custom AI solutions, AI strategy consulting, web-based UX design, cloud-based system development, and edge-based hardware systems. The product ecosystem is designed to work both as an integrated platform and as modular components that can integrate with existing customer infrastructure.
Differentiator
Problem solved
Functional benefit
Brands
- CatchVision: AI-assisted cloud-based electronic monitoring video review software that automatically detects and classifies objects, reducing reviewer effort. Features trip management, collaborative review, accelerated annotation, and downloadable reports for compliance and record keeping.
Quantifiable outcome
- 48% reduction in review time with 46% reduction in review costs
- +5 more outcomes
Companies that use Ai.Fish
Customer profileNamed customers5 records
Segments4 records
Ideal customer profiles4 records
Ai.Fish technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature6 records
Ai.Fish partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered flagship and core.
- Fisheries and Oceans CanadaflagshipWorking with Fisheries and Oceans Canada on AI-assisted electronic monitoring solutions for Groundfish Trawl in the Pacific. Development of a bilingual branded web application for catch apportionment workflow integration.
- Environmental Defense Fund (EDF)coreAi.Fish collaborated on SmartPass technology for more sustainable and productive fisheries. Partnership focused on advancing AI technologies for fisheries management.
- National Oceanic and Atmospheric Administration (NOAA)flagshipNOAA awarded $150K to a fisheries monitoring project through their Small Business Innovation Research program. This funded development of a multimodal computer vision system for counting and classifying tuna and associated bycatch species in the Pacific Ocean.
- Microsoft AzurecoreAi.Fish developed and deployed their prototype cloud-based AI-assisted electronic monitoring review system in a dedicated Microsoft Azure environment. The system features cloud-hosted secure video storage and serves as the infrastructure for their cloud-based processing.
- National Fish and Wildlife Foundation (NFWF)flagshipNFWF has funded multiple Ai.Fish projects including the Hawaii pelagic longline data processing project, Alaska Fixed Gear EM Program, and comprehensive onboard Edge AI electronic monitoring data management system.
- StripecoreStripe serves as the payment processor for Ai.Fish's platform subscription payments. Payments are encrypted through PCI-DSS compliance. Stripe's payment infrastructure handles credit card processing and billing for customer subscriptions.
Scale indicators11 records
Recent moves6 records
Expansion highlights6 records
Ai.Fish competitors and assessment
Company assessmentBroad incumbents
- Innovasea: Innovasea (which acquired Vemco) provides aquatic monitoring technology including acoustic fish tracking, environmental sensors, and aquaculture systems. It is a broad incumbent in fisheries and aquatic monitoring technology relevant to Ai.Fish's catch monitoring focus.
- CLS Group: CLS (Collecte Localisation Satellites) is a French subsidiary of CNES that provides satellite-based vessel monitoring, fisheries surveillance, and oceanographic data to governments globally. It is a broad incumbent in the fisheries monitoring space where Ai.Fish competes for analytics workloads.
- Teledyne FLIR: Teledyne FLIR is a major manufacturer of thermal imaging, marine cameras, and sensor systems used in maritime surveillance and onboard monitoring. It is a broad incumbent in the marine imaging hardware market that underpins electronic monitoring workflows Ai.Fish analyzes.
- Kongsberg Maritime: Kongsberg Maritime provides a broad portfolio of marine electronics, sensors, and vessel monitoring systems to commercial shipping and fishing fleets. It is a broad incumbent that could integrate or compete with fisheries-grade CV analytics as EM adoption grows.
Direct peers
- Archipelago Marine Research: Canadian at-sea and electronic monitoring observer provider serving DFO and commercial fisheries. Archipelago competes with Ai.Fish on the EM services and video review workflows side of the same fisheries management value chain.
- OceanMind: UK-based OceanMind applies AI and satellite data to fisheries compliance, monitoring, and enforcement for governments and RFMO clients. It is one of the closest direct competitors to Ai.Fish in AI-driven fisheries monitoring and catch analytics.
- Satlink: Spanish electronic monitoring and satellite communications provider specializing in tuna and longline fisheries. Satlink is a direct peer in EM hardware and video review for the same Pacific and Atlantic fisheries Ai.Fish targets.
- Marine Instruments: Marine Instruments designs and deploys electronic monitoring systems (cameras, sensors, buoys) for tuna and pelagic fisheries. It is a direct competitor in the vessel-side EM hardware that Ai.Fish's computer vision analyzes.
Emerging players
- Blue Ocean Gear: Blue Ocean Gear makes smart, sensor-equipped fishing gear (e.g., SmartBuoy) for tracking commercial fishing gear at sea. It is an emerging player in connected fishing equipment that intersects with Ai.Fish's edge AI and gear detection capabilities.
- Saildrone: Saildrone builds autonomous wind- and solar-powered ocean data collection vehicles used for fisheries stock assessment, hydrography, and maritime domain awareness. It is an emerging player in autonomous ocean monitoring with overlapping government and fisheries customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Ai.Fish social profiles
Digital presenceAi.Fish compliance and trust
Trust signalCompliance2 records
Ai.Fish financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ai.Fish leadership team
Management profileNumber of profiles
Profiles2 records
Ai.Fish funding detail
Funding detailFunding overview
Funding rounds5 records
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ai.Fish M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Ai.Fish
What does Ai.Fish do?
Ai.Fish develops and sells AI-powered computer vision software for electronic monitoring of commercial fisheries. Its primary product, CatchVision, is a cloud-based web application that automatically detects, tracks, and classifies fish, humans, and gear in EM video to reduce manual review effort. The company also provides an API for integrating automated annotation into third-party review platforms, and offers professional services including in-house annotation, custom AI development, AI strategy consulting, web UX, and edge AI system development.
Is Ai.Fish a public or private company?
Ai.Fish is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Ai.Fish founded?
Ai.Fish was founded in 2019. It employs 1 to 10 people.
Where is Ai.Fish based?
Ai.Fish is headquartered in Kailua, United States, in the North America region.
How does Ai.Fish make money?
Three revenue lines are on record. Software Subscriptions are the primary driver. The others are API Access and professional Services.
Who are Ai.Fish's main competitors?
Broad incumbents on record are Innovasea, CLS Group, Teledyne FLIR and Kongsberg Maritime. Direct peers are Archipelago Marine Research, OceanMind, Satlink and Marine Instruments. Emerging players are Blue Ocean Gear and Saildrone.
Does Ai.Fish have an API?
Yes. Ai.Fish API enables companies with review software and electronic monitoring equipment to integrate automated annotation powered by computer vision analysis of video footage. The API supports upload, processing, and download of results from single videos or batches. AI processing is automatically triggered as files arrive. Results are available in JSON output format for single videos and CSV format for batch processing (e.g., day of video or full fishing trip).
What industry is Ai.Fish in?
Ai.Fish's product category is Computer Vision Software for Fisheries Monitoring. Its primary akta.pro industry code is HDAAAEAF, Video Understanding & Content Moderation. Its NAICS code is 334511 and its SIC code is 3812.