BEAU gives offshore vessels 30–90 minutes of predictive weather warning — fusing onboard sensors, fleet AIS signals, and edge AI inference. No cloud. No latency. No excuses.
BEAU isn’t trained on simulations or textbooks alone. Every prediction is grounded in live data from NOAA buoys across the Gulf of Mexico — updated every 10 minutes, continuously.
Each buoy logs wind speed and direction, barometric pressure, air and sea temperature, wave height and period, and dew point — every 10 minutes, continuously. Beaufort AI ingests this data two ways:
The result: an AI that doesn’t just know weather — it knows Gulf weather, calibrated to the specific patterns and seasonal behavior of the water where your vessels operate.
Every AIS-equipped vessel in the Gulf of Mexico is broadcasting its position, speed, and heading every few seconds. BEAU monitors these signals continuously — and what other systems ignore, BEAU reads as weather intelligence.
When vessels in a region begin slowing down, altering course, or increasing station-keeping thrust — before any instrument registers a threat — BEAU detects that coordinated behavioral change and issues an early warning. Every ship at sea becomes part of a distributed weather-sensing network. The more vessels operating, the smarter BEAU gets.
Existing systems alert crews only after dangerous conditions arrive — leaving minutes, not hours, for safe operational decisions.
Cloud-based weather intelligence fails exactly when you need it most — during squalls, satellite blackouts, and deepwater operations.
Generic weather tools don't understand crane lifts, ROV ops, or DP station-keeping. BEAU was built by a working offshore Master.
Wind speed, direction, pressure, temperature, GPS — continuous real-time data from your vessel's own instrumentation.
Nearby vessels change behavior before weather arrives. Speed reductions, course deviations, and station-keeping changes are early warning signals — invisible to traditional weather systems.
A Retrieval Augmented Generation (RAG) system fuses all inputs with a curated maritime knowledge base and generates actionable predictions — running entirely on-vessel hardware with no internet required.
BEAU's advance warning gives DP operators the lead time they need to make informed decisions before weather arrives — securing crane lifts, protecting ROV umbilicals, and managing station-keeping proactively rather than reactively. Any direct integration with DP control systems would require full regulatory review and class society acceptance, and is a long-term roadmap item subject to appropriate approvals.
BEAU isn't built for one industry. The same predictive engine that keeps offshore vessels ahead of squalls gives competitive sailors a tactical edge on the racecourse. Two high-stakes environments. One AI that thrives in both.
DP-2 vessels, AHTS, crane vessels, and ROV support ships operate in conditions where a 20-minute weather surprise can cost millions. BEAU gives crews 30–90 minutes of advance warning — enough time to secure operations, adjust heading, or hold a critical lift.
In offshore and buoy racing, wind shifts win or lose races. BEAU's tactical wind prediction module gives racing crews real-time AI analysis of wind patterns, pressure trends, and fleet positioning data — the same edge pros pay tens of thousands for, now available at the masthead.
Every racing deployment expands BEAU's real-world wind pattern dataset. Every offshore deployment improves its pressure modeling. The two markets don't compete — they make each other smarter. When the first race is won with BEAU on board, you'll hear about it here.
Barrett Diaz is a USCG-licensed mariner who received his first captain's license in 1994 — over 30 years of offshore experience and one of the most comprehensive license stacks in the industry: Master OSV Oceans, Master 1600/3000 Ton Oceans, Master of Towing Oceans, 3rd Mate Unlimited Oceans, and Dynamic Positioning Operator Unlimited.
He's worked offshore his entire career — anchor handling, ROV support, deepwater construction, DP-2 operations in the Gulf of Mexico and offshore Brazil. He knows what it feels like when weather catches a crew off guard, and he knows what the bridge needs that no existing system provides.
BEAU didn't start in a lab. It started with a late-night brainstorming session between Barrett and his AI assistant while he was at sea — asking a simple question: what if the vessel could see the weather coming before it arrived? That conversation became a patent, a company, and a working prototype demonstrated live on the bridge of an active DP-2 offshore vessel on April 30, 2026 — while underway offshore Brazil.
Barrett is a proud 3rd generation Mexican-American, based in Poplarville, Mississippi — less than 45 minutes from NASA's Stennis Space Center. Beaufort AI is his bet that the best maritime technology doesn't come from a boardroom. It comes from the bridge.
Beaufort AI is pursuing Phase I funding through the U.S. Navy Small Business Innovation Research (SBIR) program. BEAU’s maritime domain awareness capabilities — real-time weather intelligence, fleet behavioral analysis, and edge-deployed AI — directly align with Navy operational priorities for enhanced situational awareness in challenging maritime environments.
Beaufort AI LLC is headquartered in Poplarville, Mississippi — less than 45 minutes from NASA’s John C. Stennis Space Center, home to the Navy’s largest ship propulsion test facility.
We're building a small group of early access partners — offshore operators, fleet managers, and DP vessels interested in participating in Phase I validation and early deployment. No commitment required.
No spam. No sales calls. Just updates when something real happens.
Or reach us directly: Capt.Barrett@gmail.com