River water flowing rapidly over rocks with energy infrastructure at the edge
Applications

The grid isn't the only place AI should run

River AI and Ocean AI turn flowing water into compute. See how our renewable-powered infrastructure applies across environmental monitoring, energy generation, and autonomous systems.

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What We Explore

River AI in the field

River AI brings sensing, generation, and autonomy to one resilient platform. Each capability is engineered to work in the real world, not just in the lab.

River AI sensor and generation unit mounted on a river piling

Deployable sensing

Monitor water quality, flow, and environmental conditions from a rugged, autonomous unit. Data streams to your control systems in near real time.

Underwater autonomy

From Sloatsburg to the sea, River AI powers self-guided underwater robots that inspect, map, and respond without a tether or a pilot.

Deployment in action

Deployment in action

See how our autonomous systems move from controlled testing to live operation in rivers and coastal waters, built for real-world conditions.

Autonomous underwater vehicle being lowered from a vessel into a river
Robotic sensor probe touching the riverbed for environmental data collection
Underwater computing pod on a riverbed with a connected surface tether
Research team on a vessel monitoring an underwater robot deployment
Autonomous underwater vehicle gliding above a rocky riverbed
Technician on a riverbank monitoring real-time data from an underwater sensor
Measured Impact

See the numbers behind the mission

River AI and Ocean AI turn flowing water into continuous compute, with operational data that shows what autonomous underwater infrastructure can deliver.

Explore outcomes

2

Platforms live

1

Deployment site

3

Core systems

24/7

Energy source

FIELD FEEDBACK

Deployments that hold up in the field

We integrated the River AI sensing stack into our environmental monitoring grid. The power draw from the hydrokinetic unit kept our sensors online through the full season, no grid tie needed.

Alex Chen

Principal Researcher, Water Systems Lab

Male researcher in his early 40s, East Asian, field jacket and safety glasses

We deployed the Edge AI pod to process underwater imaging data in real time. The Digital Twin model gave us a view of the riverbed we couldn't get with periodic sampling.

Maya Rodriguez

Field Engineer, Coastal Monitoring Initiative

Female engineer in her early 30s, Hispanic, hard hat and work vest

The autonomous control system responded to changing current conditions without manual input. That's the difference between a prototype and infrastructure you can leave running.

David Okafor

Systems Integrator, Renewable Energy Partnership

Male systems engineer in his late 30s, Black, company polo shirt
Underwater computing pod glowing in a river at dusk

Build your next system on River AI

Describe your application and we'll map it to an integrated deployment plan. Early conversations shape the path from concept to water.

Start the conversationEmail us