The Platform
aifast is building a marine robotics platform of three integrated pillars: composite hydrofoil hardware, a closed-loop embedded flight-control system, and AI localization algorithms all working together to move marine robots toward full autonomy and efficient mobility. The eFoil is where we prove it first.
A closed-loop controller keeps the vehicle flying stable above the water by continuously reading sensor data, computing corrections, and issuing actuator commands all in real time, at high frequency.
01
IMU (pitch/roll/yaw), depth/altitude, and speed sensors sample vehicle state continuously.
02
Real-time controller fuses sensor data and computes the required foil-angle and thrust correction.
03
Actuators adjust foil angle in real time to hold stable, controllable flight above the water surface.
04
Resulting vehicle state is re-sensed immediately, closing the loop at high control frequency.
Platform Pillar
Real-time, onboard localization fuses sensor streams GPS, IMU, altitude, and speed into a coherent, accurate picture of each vehicle's position and state at every moment. This is the intelligence layer that bridges reactive control and intentional navigation.
Without reliable localization, a marine robot can stabilize but not navigate. With it, the same platform that currently keeps a board level can be tasked to hold a waypoint, follow a route, or inspect a structure the step toward genuine autonomy.
GPS, IMU, depth/altitude, and velocity data fused into a unified state estimate updated at control frequency.
Every testbed run accumulates real-world localization data used to tune models and reduce error over time.
Designed from the start as the prerequisite for autonomous waypoint following and inspection routing on future platform variants.
Layered sensing feeds the flight-control loop, the AI localization algorithms, and the telemetry platform from the same underlying hardware.
Every testbed unit is a data-collection node. Operational data from the field feeds a compounding improvement loop that sharpens both the control system and the localization algorithms.
Stage 1
Testbed units generate usage, sensor, and localization data on every run
Stage 2
Data aggregated across the fleet in real time
Stage 3
Feeds control-system tuning and AI localization model improvement
Loop
Improved platform increases reliability, enabling more complex applications
Validation Testbed
The Unmatched is not a consumer product leading aifast\u2019s offer it is the vehicle through which the platform is validated. Every session generates stability performance data, sensor logs, and localization readings that flow directly into improving the core embedded system. The same platform architecture is designed to extend beyond this single form factor into larger and more autonomous marine robots.
Motor
6 kW electric drivetrain
Board
120 L carbon/glass composite
Electronics
Water-cooled, hot-climate optimized
Batteries
Modular dual-battery architecture
Runtime
Up to 1 hour
Prototype
#3 reliability & manufacturability phase
Validated testing data
Top speed, validated flight time, durability / cycle results pending formal publication
Testing data pendingRider / payload range
Validated operator weight range under test conditions
Payload data pendingPlatform Applications
The autonomous marine vehicle and offshore robotics markets represent a combined opportunity of approximately $8\u201310B by the early 2030s. Candela raised significant venture capital positioning itself as a tech-forward hydrofoil company; Artemis Technologies has grown its hydrofoil propulsion and control systems into commercial marine contracts. aifast is building the same category of technology starting with the testbed, building toward the larger addressable applications.
Now
The Unmatched eFoil validates the flight-control system and AI localization algorithms in real-world water conditions. Every session generates the operational data needed to mature the platform.
Near term
Apply aifast’s hydrofoil hardware and control-system stack as a retrofit for existing ferry and small-boat operators improving speed, efficiency, and monitoring for regional coastal transport.
Long term
Extend the platform to autonomous inspection vehicles for offshore energy infrastructure wind installations and oil & gas assets replacing costly crewed inspection with continuous robotic monitoring.
Autonomous marine vehicle market context: cross-referenced from public market research (Allied Market Research, MarketsandMarkets, Global Market Insights) and company funding announcements (Candela C-Series, Artemis Technologies). ~$8\u201310B combined TAM reflects 2030\u20132032 projections for autonomous surface vessels + offshore inspection robotics. MENA-specific figures are bottom-up estimates in progress.
How aifast moves from testbed to commercial platform.