# Bearing AI

> Bearing AI is a Palo Alto-based maritime technology company that builds AI models to predict and optimize how ships perform at sea. By combining real-world vessel sensor data, satellite positioning and weather with deep learning, its platform forecasts fuel consumption, emissions, fleet deployment and market conditions - helping shipping companies cut carbon output, comply with tightening emissions rules like CII, and make better operational decisions. Founded in 2019 by Dylan Keil and David Liu and backed by Andrew Ng's AI Fund and Mitsui & Co., Bearing counts leading carriers such as 'K' Line, Hapag-Lloyd and IINO Lines among its users.

- **Founded:** 2019
- **Headquarters:** Palo Alto, California, United States
- **Founders:** Dylan Keil (Co-Founder & CEO), David Liu (Co-Founder & CTO)
- **Team size:** Approximately 33 employees
- **Products:** Vessel Performance & Fuel Consumption Prediction, CII Optimization, Fleet Deployment Optimizer, Maritime Intelligence Platform (Ask-Reason-Decide), Freight Rate & Market Prediction
- **Notable:** Achieved per-voyage fuel consumption prediction accuracy above 98%, versus a typical industry accuracy around 80%., Signed 'K' Line to deploy its platform across 300+ vessels at platform launch in 2021., Launched an industry-first Fleet Deployment Optimizer for shipping liners (2024), co-developed with Hapag-Lloyd.

## Products & services

- **Vessel Performance & Fuel Consumption Prediction** — AI models that predict a ship's fuel consumption across vessel types, routes and weather conditions, with typical per-voyage accuracy above 98% versus an industry norm near 80%.
- **CII Optimization** — A product that predicts and manages the impact of the IMO's Carbon Intensity Indicator regulation on a ship-by-ship basis, so operators can improve emissions ratings while protecting the bottom line.
- **Fleet Deployment Optimizer** — An industry-first planning tool - co-developed with Hapag-Lloyd - that simulates future emissions and instantly compares vessel efficiency across candidate schedules, balancing compliance, service requirements and fleet composition.
- **Maritime Intelligence Platform (Ask-Reason-Decide)** — An LLM-era interface that lets users ask natural-language questions about vessel availability, port congestion, freight rates, fouling and fleet response, then reason over the models and decide.
- **Freight Rate & Market Prediction** — Forward-looking forecasts of freight rates and vessel supply/demand to support chartering and commercial decisions.
- **Analysis Dashboard** — A fleet performance monitoring dashboard, deployed by 'K' Line across 300+ vessels, delivering higher data accuracy than legacy performance tools.

## Achievements

- Achieved per-voyage fuel consumption prediction accuracy above 98%, versus a typical industry accuracy around 80%.
- Signed 'K' Line to deploy its platform across 300+ vessels at platform launch in 2021.
- Launched an industry-first Fleet Deployment Optimizer for shipping liners (2024), co-developed with Hapag-Lloyd.
- Backed by Andrew Ng's AI Fund and Mitsui & Co., raising $10M total.
- Released a dedicated CII Optimization product ahead of the IMO's 2023 emissions regulation.

## Latest updates

- **2024-04** — Launched the first AI-powered planning tool (Fleet Deployment Optimizer) for shipping liners, developed with feedback from Hapag-Lloyd.
- **2023-10** — Released the Fleet Deployment Optimizer to simulate future emissions and compare vessel efficiency across schedules.
- **2022-08** — Raised $7M post-seed from AI Fund and Mitsui & Co. and launched its CII Optimization product ahead of new IMO emissions rules.
- **2021-02** — Emerged from stealth with a platform launch and a 300+ vessel partnership with 'K' Line.

## Links

- Website: https://bearing.ai
- LinkedIn: https://www.linkedin.com/company/bearing-ai
- Twitter/X: https://twitter.com/BearingAI

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Profile page: https://yespress.io/bearing-ai
Published by YesPress — https://yespress.io
Last updated: 2026-07-07