SailingKSF | AI Offshore AutopilotAutopilot Sections

How The Project Started

Background

This system grew out of real sailing frustration, a lot of engineering hours, and one clear goal: build an autopilot suite that behaves more like a good sailor at the helm.

Two Brothers, One Problem

My brother and I are both passionate sailors. For years, we kept coming back to the same frustration: many commercial autopilots simply do not steer the way an experienced helmsman naturally would in real sea conditions.

After many discussions, we started listing what would actually help on long offshore passages. That list kept growing until it eventually became the foundation for the full system.

Why I Continued Building

After I moved permanently to another country and had to sell my boat, I suddenly had more time to focus on development. As a pensioner, I also value having meaningful engineering work that keeps the mind active.

I have worked with electronics and programming for around 50 years and have built many projects with Arduino and Teensy. From that experience, I felt it was realistic to build a complete modular suite for offshore sailing.

Sea-Trial Roles

  • Kai leads the sea trials on board during real-world testing.
  • I handle back-office development and analysis.
  • During trials, I have online access to boat data for fast iteration and diagnostic support.
  • That split makes it possible to test at sea while development continues in parallel.

Simulation First Approach

To make development practical before full sea time, I built two simulator modules: a weather simulator and a boat simulator.

The boat simulator was by far the hardest part. With AI assistance, I worked through the math needed to estimate vessel behavior from the available design inputs.

Modeling The Boats

For the Hallberg-Rassy models, I used publicly available data and engineering estimates for mast and rig position, sail geometry, hull form, rudder and keel characteristics, and expected hydrodynamic response.

After about three months, the first-generation simulator was running. In this context, simulation means predicting how a given boat is likely to behave in specific wind, sea-state and weather conditions. That output, including leeway, roll, pitch and related motion cues, is then fed into the AI autopilot logic for controller development and validation.

Bench Prototype And Integration

Before final enclosure work, several modules were developed as separate table-top units so I could validate LCD workflows, data flow and cross-module behavior in parallel. That made it easier to test real operator screens, timing and integration issues early, before the hardware packaging was finalized.

Early Bench Prototype
Early Bench Prototype
Early bench prototype during module integration and UI testing, with multiple live LCD modules, temporary housings and the iPad control surface running together.
Weather Simulator
Weather Simulator
Simulator view used to generate repeatable offshore weather and sea-state scenarios for testing.
Boat Simulator
Boat Simulator
First-generation boat behavior simulator used to estimate response and feed AI/autopilot tuning.

More Features Across The Suite

Current page focus: The personal origin story, simulator strategy, and sea-trial collaboration model.

The suite is much broader than a traditional autopilot. It is a complete singlehanded offshore assistance stack covering steering, weather intelligence, safety sensing, logging and post-passage analysis.

Adaptive anti-hunt steering tuned to real sea motion
Standard NMEA2000 interoperability plus a private high-speed NMEA core exchange
Cross-vendor NMEA2000 compatibility with Raymarine, Garmin, Simrad and more
Maneuver-aware route behavior with avoid-and-resume workflow
AI prevention layer for broach, surf and pitchpole tendency
WORK mode for high-workload deck and sail operations
AI sail recommendations for fore/main trim and reefing stability
Hazard diagnostics with recovery counters and reason traces
Onboard and cloud weather fusion with deterministic offline fallback
72-hour weather-corridor planning and INTELS tactical context
Track and voyage logging for weather, position and boat-status history
Owner-performance polar review on iPad and server, with same-condition better/worse comparison
Local Weather Box JSON export for weather, INTELS, corridor and wide-area hazard feeds
Automatic periodic SailingKSF reporting with position, heading, weather and sea state
Dedicated supporter and family follow pages with live voyage context
Automatic local track logging every 10 minutes while underway, with export for analysis
Emergency 1/2/3 escalation with automatic shore updates and SMS/email contact alerts
AIS/RADAR warning and alarm workflow across helm, iPad and voice
Pressure-trend plus gust/shift fusion for earlier squall warnings, especially at night
Voice alarms and structured escalation for fatigue-resistant awareness
Sensor safety integration for lightning, gas, fire and air quality
Configurable 4x analog + 8x digital protected inputs with relay and voice actions
Native iPad workflow for routes, waypoints and tactical map use
Roadmap: dual bow and aft cameras for incoming-wave prediction support

Feedback And Comments

This project is still work in progress, and I would genuinely like feedback on what is missing, what feels unclear, and what would be most useful offshore. The first sea trial is planned for spring 2026, and every comment is reviewed by me before it appears publicly.

Comments do not appear immediately. I review and approve them manually before anything is published on the site. Please avoid posting private contact details that should not be visible on the web.

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Built For Singlehanded Offshore Reality

These public pages focus on what the suite actually delivers offshore: steadier steering, fail-safe automation, and practical AI support that reduces workload without taking control away from the skipper.