aifast

aifast

Marine Robotics Platform Investor Pitch Deck

Slide 1 · Cover

Marine Robotics Platform Engineered in Egypt, Built for MENA

We are a marine robotics company building a platform of hydrofoil hardware, embedded systems, and AI localization algorithms moving marine robots one step closer to full autonomy and efficient mobility.

At a glance

•Platform: hydrofoil hardware · embedded flight-control · AI localization
•Testbed: Unmatched eFoil prototype #3, rideable, data-generating
•Pre-revenue · 4 angel investors · founded by robotics engineers
•Target: autonomous marine vehicles, ferry retrofit, offshore inspection

Slide 1 / 11

Slide 1 · Cover

aifast

Marine Robotics Platform Engineered in Egypt, Built for MENA

At a glance

•Platform: hydrofoil hardware · embedded flight-control · AI localization
•Testbed: Unmatched eFoil prototype #3, rideable, data-generating
•Pre-revenue · 4 angel investors · founded by robotics engineers
•Target: autonomous marine vehicles, ferry retrofit, offshore inspection

Slide 2 · The Problem

Marine mobility is stuck in the past

The mobility gap

•Most marine vessels remain manual, reactive, and unmonitored
•No real-time telemetry or predictive maintenance in existing fleets
•Offshore inspection still relies heavily on crewed vessels costly and slow

The MENA gap

•All marine technology in MENA is entirely imported
•No regional deep-tech marine robotics company exists today
•Egypt and the Gulf have vast coastlines, growing tourism, and offshore energy with no local technology platform serving them

The opportunity is not just to build a better vessel it’s to bring control systems, localization, and data to a category that has never had them.

Slide 3 · Our Solution

One platform. Three pillars.

Hydrofoil Hardware

•Carbon/glass composite structures
•Modular propulsion systems
•Water-cooled electronics for hot climates
•Built for field validation and data collection

Embedded Flight Control

•Closed-loop controller: IMU + sensors + real-time foil adjustment
•High-frequency sense → process → actuate → feedback loop
•Co-designed with the hardware not bolted on

AI Localization Algorithms

•Multi-sensor fusion: GPS, IMU, altitude, speed
•Real-time position and state awareness
•Foundation for waypoint navigation and autonomous operation

The testbed eFoil is how we prove this platform in real-world water conditions. Every unit generates the data that matures the system.

Slide 4 · Validation

Prototype #3 real-world platform validation

Testbed specifications

•3 kW nominal / 6 kW peak electric motor
•1.3 kWh battery capacity
•120 L carbon/glass composite hull
•Water-cooled electronics
•Modular dual-battery architecture

Engineering traction

•3 prototype generations built and tested
•Working, rideable prototype achieving stable flight
•Water-cooled electronics architecture validated
•In-house flight-stabilization controller v1 underway
•4 angel investors backing the company

45 km/h

Top speed (measured)

55 min

Flight time @ 70% throttle

65-95 kg

Rider weight range

200+ cycles

Battery durability validated

Three generations of real-world prototype data are already feeding control-system and localization tuning a feedback loop no imported product can replicate locally.

Slide 5 · Why Now

Marine autonomy is getting funded

•Candela (Sweden) raised significant venture capital positioning its computer-controlled hydrofoil boats as deep-tech, not boatbuilding
•Artemis Technologies (UK) secured government and commercial contracts for its hydrofoil propulsion and control systems for commercial marine
•REGENT positioned as aerospace-adjacent robotics attracted major investment
•Tourism investment and coastal infrastructure spending accelerating across Egypt and the Gulf
•Growing policy and commercial interest in electrification of marine transport

The market is validating the thesis: investors and governments back companies that lead with control systems and engineering IP. aifast is building exactly that in MENA, where no one has done it yet.

Slide 6 · Business Model

Validate. Retrofit. Inspect.

Phase 1 Validate

•Testbed rental fleet generates data and early revenue
•Proves platform reliability in real operating conditions
•Builds the localization dataset needed for later phases

Phase 2 Retrofit

•Hydrofoil hardware + control-system kits for ferry and small-boat operators
•Converts existing fleets to faster, more efficient, monitored vessels
•First commercial platform application beyond the testbed

Phase 3 Inspect

•Autonomous inspection vehicles for offshore wind and oil & gas assets
•Replaces crewed inspection with continuous robotic monitoring
•High-margin, recurring contract revenue from energy operators

Revenue grows with platform maturity each phase de-risks the next while the same core IP compounds in value.

Slide 7 · Market Size

A large and underpenetrated category

~$8–10B

TAM: Global autonomous marine vehicle + offshore robotics market by early 2030s

~$450M

SAM: MENA ferry/small-boat retrofit + regional offshore inspection market

~$2.5M

SOM: Year 3 target revenue from pilot deployments + early commercial contracts

SOM reasoning

•2 verbal LOIs in hand for testbed fleet deployment + pilot retrofit assessment
•Conservative estimate: 8–12 commercial retrofit units sold by Year 3 @ $150k–200k per system
•Testbed rental fleet generating $15k–25k/month from tourism and marina operators
•1–2 offshore inspection pilot contracts with energy operators in Gulf region
•SOM represents <1% of regional SAM de-risked by existing conversations and technical validation

Initial commercial strategy: B2B retrofit sales to regional ferry and marina operators. Final TAM/SAM/SOM figures will be built bottom-up from coastal fleet counts and energy operator contracts not generic market reports.

Autonomous marine vehicle market context cross-referenced from Allied Market Research, MarketsandMarkets, Global Market Insights, and company funding announcements (Candela, Artemis Technologies). ~$8–10B combined TAM reflects 2030–2032 projections for autonomous surface vessels + offshore inspection robotics.

Slide 8 · Competitive Landscape

Two tiers. One white space.

Tech analogs companies that got funded

•Candela computer-controlled hydrofoil boats, VC-backed, deep-tech positioning
•Artemis Technologies hydrofoil propulsion & control systems, government + commercial contracts
•REGENT hydrofoil seaglider, aerospace-adjacent robotics, significant institutional backing

Leisure eFoil category

•Fliteboard largest global leisure eFoil share
•Lift Foils major global leisure player
•Quadrofoil established category player
•None positioned as platform/robotics technology; none in MENA

aifast sits in the Candela / Artemis technology category platform-first, control-systems IP, engineering-led not in the lifestyle eFoil category. Same positioning that attracts institutional capital.

Slide 9 · Roadmap

From prototype #3 to autonomous marine platform

1Now Prototype #3 validation + flight-stabilization controller v1 + localization algorithm baseline
2Fleet phase Testbed rental fleet with full telemetry; localization dataset growing on every run
3Retrofit phase First commercial application: hydrofoil + control kits for ferry and small-boat operators
4Inspect phase Autonomous inspection vehicles for offshore energy infrastructure

Each phase reuses the same platform IP hardware, embedded systems, AI localization while expanding into higher-margin, larger-contract applications.

Slide 10 · Team

Engineering-led founding team

Mohamad Elbadrawy

•Founder and technical lead
•B.Sc. Computer Engineering, Cairo University
•M.Sc. Robotics, Technical University of Munich (TUM)
•10 years industry engineering experience
•Leads flight-control, platform architecture, and technology direction

Yosef

•Co-founder
•B.Sc. Mechatronics
•Experience in engineering design, embedded systems, and SLAM implementation on hardware
•Supports hardware integration, autonomy stack, and field deployment

Core team expertise

•Embedded systems & real-time control
•Composite manufacturing
•Electric propulsion
•AI / localization algorithms
•Mechanical design & testing

Slide 11 · Funding Ask

The ask and what it buys

$100k

Funding ask

12 months

Runway

3-5 units

Testbed fleet size

Manufacturing (testbed units + tooling)45%

Engineering (control systems + localization)25%

Field testing & pilot deployment15%

Operations & working capital15%

Milestones this round enables

•Deploy 3–5 testbed units to marina/resort partners (2 LOIs converting to contracts)
•Complete flight-stabilization controller v1 and integrate on all fleet units
•Generate 500+ hours of real-world flight data for localization algorithm training
•Deliver first retrofit system specification and pilot installation
•Secure 2–3 additional commercial LOIs through field demonstrations
•Establish recurring revenue stream from testbed rental fleet

Get in touch

•Email: mohmmad.khzrag@gmail.com
•WhatsApp: +20 110 238 8227