
NakAI Robotics
Climate One-Liner
The direct benefits of nakAI (as proven by multiple studies and current industry's knowledge and related regulation) are significant reductions in the use of Cargo vessels' fossil fuels, GHG emissions and transmission of Aquatic Invasive Species.
Description
NakAI is the only autonomous solution that cleans vessels' hulls in-transit. Our B2B HaaS solution is a proactive cleaning robot of marine biofouling that assures minimal vessels' drag and downtime, while dramatically improving ocean pollutants and compliance with new regulations. It enables up to 20% in cargo fuel savings, eliminates an average 10 lost days in ports, at least 30% reduction of GHG air pollutants, and up to 85% prevention in the introduction of aquatic invasive species. It offers an ROI of up to 6 months per vessel. This unique Deep-tech system consists of Robots & Docking stations placed on the railings of the vessel. The robot autonomously travels below the water line, and removes early-stage Slime & Biofouling from the ship’s hull while In-Transit - with a local power supply (no wires) and without harming the antifouling paint. During 2022 – NakAI secured a $1.5M Pre-Seed funding led by an Israeli VC, completed MVP development of the robot and its operating software, and partnered with the top ten listed cargo vessel owners and operators to deploy our first systems, where in parallel conducting robust Sea-trials and industry-acknowledged lab tests to reach a GA product this year. NakAI has won 4 global OceanTech competitions, received the maximum funding from the IIA, and participated in Climate First and Microsoft AI For Good programs. Recently, NakAI signed a 5-year paid service agreement for 10 vessels, secured investments and commitments for the new Bridge round, currently looking for strategic partners who wish to join our unique journey.
Big Picture
Climate Impact
Climate Challenges
Funding Stage:
PreSeed/Angel
Idea to MVP
Product Stage:
* Information on the climate impact of the startup's technology



