DiveSightDiveSight

Everything you need to write about DiveSight.

DiveSight is the first iOS app that forecasts marine life abundance and underwater visibility at any dive site on Earth — a 7-day, know-before-you-go forecast for divers, built from satellite oceanography and machine learning. It’s available now on the App Store.

DiveSight at a glance

What it is
The first iOS app to forecast marine life abundance and underwater visibility for dive sites worldwide.
Coverage
28,000+ dive sites · 1,400+ regions · 6,000+ marine species — plus any custom site a diver creates: the forecast runs at any coordinates, so coverage reaches anywhere a diver cares about, not just the catalog.
Forecast
7-day, updated daily. Two machine-learning models (marine life abundance + underwater visibility), validated out-of-sample — on held-out data they pick the correct conditions level more than 80% of the time (accuracy varies by region).
Climatology
10 years of monthly averages per site
Platform
Native iOS 26+, iPhone & iPad. Android on the roadmap.
Price
Free, with optional Pro ($4.99/week · $9.99/month · $99.99/year). First week of Pro is free, no card required.
Availability
Available now on the App Store.
Developer
An independent project — not venture-backed. Led by a PhD statistician and lifelong diver (33 years in the water); two siblings, a coral reef ecologist and a physicist, shaped the science.

About DiveSight

DiveSight is a new iOS app that brings real ocean forecasting to scuba divers, snorkelers, freedivers, and ocean travelers for the first time. Two machine-learning models — one for marine life abundance, one for underwater visibility — generate 7-day forecasts at any of 28,000+ dive sites worldwide — and at any custom site a diver adds, since the models run at any coordinates. It is the first app to forecast both: a marine life abundance forecast, and an underwater visibility forecast that works worldwide rather than region by region.

Around those forecasts, DiveSight layers live underwater conditions (depth-resolved temperature, currents, tides), 10 years of monthly climatology per site, a seasonal-events calendar of bucket-list aggregations, and a catalog of 6,000+ marine species, each tied to the dive sites where it has been observed. The data comes from the same institutional sources oceanographers use — NASA, NOAA, ESA, Copernicus, HYCOM, GBIF, OBIS, iNaturalist, and WoRMS — every data point traceable to a published, citable source.

About the team

DiveSight is the work of a small family of lifelong divers. It was led by a PhD statistician and lifelong diver, with two siblings — a coral reef ecologist and a physicist — shaping the science throughout. The marine-life abundance model draws on the statistician’s own research, now being prepared for publication; his siblings contributed essential input on ecological modeling, ocean physics, and the product decisions that determine whether the app is actually useful in the water. The 6,000-species catalog at the heart of DiveSight started as an informal database the three of them had been building together for years from their own sightings. DiveSight is independent and not venture-backed.

Pull quote

“Surfers have swell forecasts. Skiers have snow reports. Divers have had the weather, and scattered diver reports, but no real forecast for the two things they care about most: how much marine life they’ll see, and what visibility will be. The foundational data has been there for years, institutional-grade ocean data from the research world, but it is hard to access and harder still to turn into a dive forecast. We built our models to give divers access to the information they need to decide where and when to dive, anywhere on Earth.”
— Yaniv, founder, DiveSight

Press contact

For interviews, review codes, or anything else, email admin@divesight.org. Reviewers can get a complimentary year of Pro on request.