Flies cheaper than trucks and safer than passenger aircraft.

We start with corridors where time loss is more expensive than transport cost.

SDA 분산추진 항공기 렌더링 — **SDA Platform** A Software Defined Aircraft image combining fixed-wing range with distributed-propulsion control.

Lambda

Asynchronous tiltrotor: takes off without a runway and flies far as a fixed-wing aircraft.
Fixed-wing cruise: covers 200-1,000 km without multicopter energy limits.
Discrete Matrix Flight OS: builds repeat-operation data and airworthiness data by route.

Economics

A simpler aircraft expands the range of collaboration.

Control-surface-free structure: no actuators, hinges, or links, making manufacturing and maintenance collaboration easier.
Fixed-pitch rotor: a low-maintenance propulsion structure that supports repeat operation without variable pitch.
IP licensing and parts ecosystem: collaboration can happen across aircraft, Flight OS, and operating corridors.

SDA Visual

Asynchronous tiltrotor flight example

PLATFORM

Distributed-propulsion aerial robot

Eight propulsors are controlled by software inside one aircraft architecture.

LAYOUT

Stagger-based virtual control surface

With no control surfaces, aircraft production cost is reduced toward one-tenth.

CONTROL

Differential-thrust-based control

The aircraft flies by controlling virtual control surfaces through staggered geometry and a discrete matrix.

CONTROL LOGIC

Each of the eight propulsors moves differently.

SDA transitions by tilting inner and outer propulsor groups in stages and transferring control authority by flight mode.

Vertical takeoff

Eight propulsors lift the aircraft with vertical thrust.

First tilt

Some propulsors begin transition first.

Control-authority transfer

Vertical thrust and horizontal control are handled together.

Second tilt

The remaining propulsors transition toward cruise.

Horizontal control authority

Full horizontal control authority is secured after transition.

Horizontal cruise

Fixed-wing cruise secures range and economics.

Starting Point

What kind of collaboration are you looking for?

Capital Investment

KRW 100M aircraft, KRW 5B lifetime revenue potential, and 50% target margin. A recurring revenue structure expanding through fleets, operating rights, Flight OS, and MRO.

View Cost Structure

Technology Collaboration

If a UAM transition-flight safety case is needed, SDA’s verifiable asynchronous tilting scenario is the starting point for collaboration.

Discuss Collaboration

Talent

We define the mission first and build the machine backward from it. Control, simulation, hardware, and Physical AI sit at one table.

View Roles

Technology

Architecture

1 registered patent and 4 filed applications: asynchronous tilting, virtual control surface, discrete control, passive high-lift, and virtual pitot.

View IP Structure

VC / Capital

Capital Recovery

The core is not aircraft specifications, but fleet economics from repeated corridor operation. When aircraft price, maintenance cost, utilization, and airworthiness data align, a KRW 100M-class operating asset becomes logistics infrastructure that creates lifetime revenue.

View Capital Path

Local Government (Japan)

Local Government

One logistics corridor can leave behind an assembly plant, an MRO base, and operating workforce. Busan Port to mainland Japan is the first candidate.

View Japan Path

Local Government (Korea)

Local Government

This is not a one-off drone demonstration. We design repeatable public logistics routes for islands, industrial zones, and medical corridors.

View Korea Path

Drone Companies

Payload Class Expansion

Aircraft structure, Flight OS, simulation, and operating corridors can be developed module by module. We can build the next class after multicopters together.

View Drone Company Path

Individual Investors

Early Story

The first profitable sky route comes from cargo before air taxis. The market is where multicopters cannot reach and conventional aircraft are too expensive.

View Individual Investor Path

Brand Interpretation

One technology choice defines the range of collaboration

Fixed-Pitch Rotor

A fixed-pitch rotor prioritizes productivity, maintainability, and repeat-operation rate over top speed. Reducing variable-pitch mechanisms lowers aircraft price and maintenance items, making fleet deployment easier.

Without variable pitch, the entry cost for manufacturing and maintenance partners becomes lower.

Control-Surface-Free Architecture

A control-surface-free architecture moves attitude control from mechanical flaps and linkages to distributed propulsion, phase control, and aircraft geometry. As a result, inspection items, actuators, hinges, backlash, and maintenance burden are reduced.

With no moving surfaces, inspection items decrease and partner maintenance training becomes simpler.

Passive Glide Safety

Passive glide safety secures emergency control margin through glide, windmilling, autorotation, and differential-drag modes. It reduces both cargo-aircraft loss risk and the long-term safety case burden for passenger expansion.

Cargo builds the safety case first. That data shortens the UAM certification path.

Product

Lambda begins with cargo corridors as an aerial robot.

We define the operating unit before the aircraft lineup.

Route, payload, arrival time, failure response, and cost per flight come first. The aircraft is designed to meet those operating conditions.

The initial target is 100-500 kg cargo operation. From cargo data and the safety architecture, the platform expands toward crewed powered-lift and autonomous passenger transport.

Technology Stack

Safe VTOLAsynchronous Tiltrotor Architecture
Deterministic FlightMode-Aware Matrix Control
Simplified AircraftControl-Surface-Free Fixed-Wing Structure
Safety MarginPassive glide, autorotation, and differential-drag control

lambda-Prototype 25 kg Concept Prototype

Core Transition-Flight Test Vehicle

Class25 kg class
Aircraft StructureTandem wing without control surfaces
Wing / Spar3 m-class carbon spar and wing
Rotor / Tilt8 rotors / all 8 tilt
Power4.5 kW-class hybrid-electric propulsion

This is the first class to validate asynchronous tilt, passive high-lift control, virtual pitot sensing, and a hybrid power buffer on a real aircraft.

lambda-Light Part 103 Class

Personal, leisure, and technology demonstration variant

ClassPart 103 class
RoleInitial public product
UseInitial flight-data accumulation and market validation
Core IPAsynchronous tiltrotor / virtual control surface

A lightweight class that proves the core technologies of the Lambda architecture first through actual flight.

lambda-Mid Uncrewed Cargo Family

100 kg-class BVLOS cargo validation class

ClassUncrewed BVLOS cargo
Payload100 kg
RoleUncrewed cargo-operation data accumulation
PositionIntermediate class toward the 500 kg cargo aircraft

This is an intermediate class for BVLOS uncrewed cargo operation. It builds certification, operation, and maintenance data in real corridors before the 500 kg mid-mile cargo aircraft.

lambda-Heavy Uncrewed Cargo Family

KRW 100 million operating-asset target

ClassUncrewed mid-mile cargo VTOL
Payload500 kg
Maximum speed240 km/h
Maximum range1,000 km
Aircraft StructureFixed-pitch rotor / no control surfaces / low maintenance
Business ModelLease + Operate + SaaS

This is the main class for uncrewed mid-mile cargo. It is not a one-time aircraft sale, but a fleet operating asset that repeatedly sells 500 kg-class throughput.

lambda-Shuttle AC 21.17-4 powered-lift

KRW 200 million autonomous passenger-transport expansion target

MTOW890 kg
Payload475 kg = 5 people x 95 kg
Seats5 seats
Payload ratioApprox. 53.4%
Cruise speedUp to 240 km/h
Powertrain200 kW-class hybrid

The passenger variant is a later product on the AC 21.17-4 powered-lift regulatory track. Uncrewed cargo fleet data builds the safety case, and Flight OS leads to remote-supervised and autonomous passenger transport.

Technology

Operating conditions define the aircraft structure

Operation comes first

Payload, distance, takeoff and landing space, arrival time, failure behavior, and cost per flight are defined first.

Aircraft structure follows.

Explainable Flight

Mode-aware control keeps flight behavior within boundaries, makes it repeatable, and explains it through operating logs and test data.

Logistics operation needs repeatable reliability, not mysterious autonomy.

Mission Hardware

VTOL access, long-range cruise, repeated cargo operation, and low maintenance are not separate features. They are one design problem that creates the same operating cost.

Aircraft structure is shaped by the route and the cargo.

Protected Architecture

Simulation, control, aircraft structure, safety behavior, and IP are developed together to lower aircraft cost, maintenance cost, and utilization risk at the same time.

IP is not paperwork. It is a wall that protects operating cost.

View Full Technology

Unit Economics

A low-cost aerial logistics market opens only when aircraft cost and repeat-operation rate align.

The market needs lower operating cost, not just a better aircraft.

Aerial logistics works only when aircraft price, energy, maintenance, safety, certification, and utilization align. Lambda reduces these cost layers through aircraft structure and operating software together.

Design innovation sharply lowers aircraft cost and operating cost.

Aircraft price, maintenance burden, cruise energy, and utilization are tied into one logistics-asset economy.

Aircraft price 1/10 target

Control-surface-free aircraft Automated production path

Maintenance burden Reduced parts count

Reduced mechanical control surfaces Reduced inspection items

Energy cost Fixed-wing cruise

Long range without multicopter energy limits Practical Regional Routes

Market

Corridors where time loss costs more than air transport

▲ Busan Port

Tsushima

▲ Mainland Japan hub
(Fukuoka / Kitakyushu / Shimonoseki)

Some corridors are too slow by road, schedule-bound by sea, and too expensive for conventional aircraft.

Lambda is aerial logistics equipment for that gap. It provides direct air access where time loss erodes value and safety, including island logistics, mountain supply, industrial cargo, and urgent delivery.

Island logistics Cargo access without port dependence
Industrial cargo Parts, tools, batteries, samples
Autonomous cargo Fixed-wing cruise + VTOL access

Lambda IP lowers operating cost and makes the flight structure safer.

Lambda IP connects VTOL access, deterministic flight, fixed-pitch low-maintenance rotors, a control-surface-free structure, and passive glide into one integrated operating asset.

Safe VTOLAsynchronous Tiltrotor Architecture
Simpler aircraftControl-Surface-Free Fixed-Wing Structure
Lower burdenFewer moving parts and clearer safety behavior

View Full IP Comparison

Asynchronous Tiltrotor

Safe VTOL

A propulsion architecture that satisfies both point access and mid-mile cruise efficiency.

Deterministic Flight

Mode-Aware Control

Flight modes stay within boundaries, are repeatable, and are managed in a way that can be explained with operating logs.

Control-surface-free aircraft

Manufacturable Aircraft Structure

Removing control surfaces reduces mechanical complexity and maintenance items at the same time.

Autorotation-Aware Safety

Reduced certification burden

The aircraft is designed to shift into autorotation and glide modes after loss of thrust, inducing a controllable descent.

Passive Glide Control

Operational Resilience

Even after thrust is lost, the aircraft can descend while maintaining attitude through its own glide performance.

Aircraft price

Control-Surface-Free Structure

A simplified aircraft structure sharply lowers aircraft cost.

Maintenance burden

Minimum Moving Parts

Minimizing moving control surfaces and mechanical elements reduces inspection, replacement, and service items.

Certification Barrier

Deterministic, safety-aware behavior

The certification structure aims to explain and prove safety through predictable and repeatable flight behavior.

Operating Model

Lease, fleet operation, SaaS

Beyond simple aircraft sales, it evolves into an aerial logistics asset that produces recurring revenue through repeat operation.

Physical AI

Starting with aerial logistics, it expands into Physical AI that moves real machines.

Defining machines from operating conditions does not end in the air.

The same loop that moves Lambda also applies to humanoids and autonomous machines: define the mission, simulate the motion, close the control loop, and design the machine for its operating conditions.

The aerial robot is the first proof. Behind it is Physical AI for logistics, manufacturing, and maintenance sites.

AI-Based Hardware

Mission, motion, control, safety, and deployment conditions shape the machine.

Technology Page

Humanoid Systems

Motion, manipulation, balance, and task execution for real operating environments.

Technology Page

To discuss technology collaboration,
contact us.

Aircraft structure, Flight OS, operating corridors, and IP licensing: collaboration can begin from any point.

Lambda starts in aerial logistics. The larger picture is mission-defined machines for the physical world.

Receivepower
Aerial robots, Physical AI, and mission-defined machine architecture.

Company

Receivepower has developed intelligent robots since 2019.

From humanoids to aerial robots, we build machines that move through Physical AI.

Company See the direction of the Physical AI company Receivepower is building. IR See the investment logic, fleet assets, and recurring revenue structure.

Mission

Have you ever dreamed of a flying car?

Lambda SDA is an aircraft that flies in the sky while using car-level price targets, car-level maintenance cost, and car-level parts.

View Development Narrative

Development Narrative

Flying Car: From Dream to Reality

Almost everyone dreams of a flying car as a child. I did too. I believed the tiltrotor could become the aircraft that realized that dream, but the 1992 Osprey crash left a major question. To fly over cities, a safe tiltrotor had to come first.

A Common Dream and the Barrier We Found

The flying car is an old dream. But for that dream to become urban transportation, VTOL, long-range cruise, and safe transition flight must all exist together.

Lambda Engine and Wing Calculations

A true flying car must be made from automotive parts. Around the 2006 World Cup in Germany, Korea’s independently developed Lambda engine made that clear to me. I began countless thought experiments: how much payload margin would remain with that engine, how wing forms and aircraft types would change, and how the dry block and cooling system could be lightened. Gamma engine for two seats, Lambda engine for three seats: that was the kind of calculation that continued.

Reviewing 200 VTOL Forms and the Forgotten Patent

After reviewing more than 200 VTOL configurations, we found an asynchronous tiltrotor structure to address the safety problem and filed a patent in 2020.

An Unexpected Registration and a Shared Decision

While preparing the WBS and production plan for humanoid robots, the registration decision for the forgotten patent arrived. The partners developing humanoids together decided to take on a larger change. It was the moment humanoid experts at the peak of robot-control technology gathered around aircraft innovation.

2026: Completion of the SDA Architecture

Based on the experience of the 2020 initial patent filing, we redesigned the architecture in 2026 as an exclusive patent network covering the full operating process.

An Aircraft That Beats Trucks

SDA is not just a lab idea. It is the flying car once dreamed of, and the starting point for building an aircraft that can beat real ground trucks through dramatic reductions in manufacturing and maintenance cost.

View IR View Product

Investor Relations

A KRW 100 million operating asset creates recurring revenue by corridor.

The logic is not a simple aircraft sale. It creates recurring revenue across fleet ownership, corridor operating rights, MRO, Flight OS, airworthiness data, and regional JVs.

Back to Company

Certification Schedule

We address, with mathematics, the certification that even KRW 10 trillion AAM companies have not finished for years.

Certification is what matters. Making the certification schedule transparent and predictable is not impossible.

The reason valuations of eVTOL companies such as Joby fluctuate is simple: no one can fix the certification schedule. The market reads this not as technology strength, but as the risk of not knowing how much more capital will burn.

eVTOL aircraft must pass the following two FAA requirements.

Deterministic control: DO-178C
Passive emergency landing: FAA AC 21.17-4, PL.2105(g)

We designed SDA to address both requirements from the design stage.

1. It responds only as defined (DO-178C)

Conventional aircraft respond to gusts with real-time computation, so the result cannot be predicted 100% in advance. Our aircraft precomputes the answers for each state and switches immediately, so the result can be demonstrated to certification authorities beforehand.

2. It can be controlled and landed even after engine loss (PL.2105(g))

Controlled landing after total power loss is a required certification condition. We implement passive steering and landing through rotor angle and rotational differences without an additional device. Receivepower’s SDA is currently the only aircraft specification designed to satisfy PL.2105(g).

3. Certifiable components are reduced to roughly 1/100

Conventional aircraft have hundreds of failure points due to control surfaces and actuators, each of which must be proven. We remove mechanical control surfaces and drastically reduce the number of certifiable parts.

4. Cargo builds trust before passengers

Instead of spending capital on crewed certification first, we accumulate large amounts of real flight data through cargo operation. An accident-free operating record is stronger than paperwork and accelerates later crewed certification.

In short, the design simplifies computation, reduces parts, and resolves emergency response in the architecture. Certification becomes a defined procedure, not unpredictable R&D.

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Individual Deep-Tech Audience

Technology That Redesigns the Sky

Receivepower is redrawing the future of aerial logistics with AI and robotics technology. From structure to control, production, and operation, we are redesigning how aviation can work more efficiently and accessibly.

Deep-tech audiences may understand the vision and scalability of the technology we are building. Guidance on individual investment participation will be provided separately when ready.

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KRW 100M

Target aircraft price for lambda-Heavy, based on a 500 kg-class mid-mile cargo operating asset.

KRW 5B

Lifetime revenue potential per aircraft. Repeat operation, leasing, and software subscription revenue form the long-term revenue base.

50%

Target margin based on a control-surface-free structure, fixed-pitch rotors, low maintenance, and operating-software efficiency.

Initial Market Entry

Corridors where missing a boat costs a day and returning to road transport costs half a day: that time loss is Lambda’s initial market.

Investment Structure

Expansion through fleet/JV structures combining corridor operating rights, local assembly, MRO, data accumulation, and Flight OS subscriptions.

Investment Logic

Fleet infrastructure and recurring software revenue are designed together.

Lambda combines fleet ownership, leasing, corridor operation, logistics SLAs, airworthiness data, and Flight OS subscriptions into a recurring revenue structure.

Why Now

When aerial logistics cost falls to truck-level economics, logistics maps are redrawn as direct lines to destinations rather than along roads.

Straight-line distance becomes the new standard for logistics-network design. A 500 kg-class payload and up to 1,000 km range target aerial mid-mile logistics networks.

Request IR Materials View Market

Technology

Robotics Technology

Receivepower works on Physical AI technology that moves real machines. Robot middleware, industrial control, coordinate systems, sensor fusion, virtual spaces, vision, manipulation, force/contact control, AI models, workcells, factory data, safety, and engineering systems are connected into one execution system.

Physical AI

AI That Moves in the Physical World

Control intelligence that reads state through cameras and sensors, predicts possible failures, and lets real machines choose the next action.

Robot Middleware

The execution layer that lets sensors, motors, controllers, simulators, and AI models exchange data.

Industrial Control

Connects field-proven control systems such as PLC, CAN, EtherCAT, and safety relays to real equipment.

Coordinate System

Coordinate Systems

Aligns the robot body, hand, camera, workpiece, and spatial reference points into one mathematical position relationship.

Sensor Fusion

Combines camera, IMU, encoder, current, and force signals so the machine can judge its current state reliably.

Virtual Space

Uses digital twins and simulation to verify motion, collision, and failure conditions before building real equipment.

Vision

Object detection, segmentation, pose estimation, and inspection technology structure what robots need to see and judge.

Manipulation

Designs actions for physically handling objects: grasping, placing, inserting, aligning, and stacking.

Contact Control

Force / Contact Control

Reads force, torque, slip, and pressure so robots can interact delicately with objects and environments.

AI Model

Uses vision models, behavior policies, anomaly detection, and imitation learning to train judgment and action selection.

Workcell

A real work unit where robot arms, mobile robots, grippers, cameras, lighting, jigs, and conveyors work together.

Factory Data

Collects production count, cycle time, fault history, inspection results, and quality data for operational decisions and improvement.

Safety

Creates conditions for people and machines to work together through emergency stops, safety zones, speed limits, collision detection, and recovery procedures.

Engineering System

Connects requirements, interfaces, state machines, tests, and validation reports into a repeatable machine-development process.

Robotics Technology

Robot Middleware

ROS
ROS 2
DDS
Node Graph
Topic
Service
Action
TF Tree
URDF
SRDF
MoveIt
Nav2
Gazebo
Isaac Sim
MAVROS
Robot State Publisher
Joint State Publisher
Controller Manager
Hardware Interface
Real-Time Control Loop

Robotics Technology

Industrial Control

PLC
Ladder Logic
Structured Text
Modbus TCP
Modbus RTU
EtherCAT
Ethernet/IP
PROFINET
CAN
CANopen
Digital I/O
Analog I/O
Relay Output
Safety Relay
Emergency Stop
Interlock
Watchdog
Heartbeat Signal
Machine State
Fault Code
Reset Sequence

Robotics Technology

Coordinate System

World Frame
Map Frame
Base Frame
Tool Frame
Camera Frame
Gripper Frame
Workpiece Frame
Fixture Frame
Conveyor Frame
Calibration Frame
Homogeneous Transform
Rotation Matrix
Quaternion
Euler Angle
Pose Estimation
Hand-Eye Calibration
Extrinsic Calibration
Intrinsic Calibration
Coordinate Registration
Frame Alignment

Robotics Technology

Sensor Fusion

Camera
Depth Camera
Stereo Camera
IMU
Encoder
Load Cell
Force Torque Sensor
Proximity Sensor
Limit Switch
Motor Current
Torque Estimate
PLC State
Time Synchronization
Signal Filtering
Kalman Filter
Extended Kalman Filter
Particle Filter
Complementary Filter
State Estimation
Outlier Rejection
Sensor Confidence
Multi-Rate Sampling

Robotics Technology

Virtual Space

Digital Twin
Simulation Scene
OpenUSD
Physics Engine
Renderer
Robot Model
Factory Layout
Workcell Layout
Collision Mesh
Kinematic Model
Dynamic Model
Sensor Model
Synthetic Data
Domain Randomization
Scenario Generation
Motion Replay
Failure Replay
Real-to-Sim
Sim-to-Real
Virtual Commissioning
Process Simulation

Robotics Technology

Vision

Object Detection
Instance Segmentation
Semantic Segmentation
SAM2
YOLO
Mask R-CNN
Keypoint Detection
Edge Detection
Pose Estimation
Depth Estimation
Visual Servoing
Marker Tracking
AprilTag
ArUco
OCR
Defect Detection
Surface Inspection
Part Presence
Position Verification
Orientation Verification

Robotics Technology

Manipulation

Grasp Planning
Grasp Pose
Approach Vector
Tool Center Point
Inverse Kinematics
Motion Planning
Trajectory Generation
Path Constraint
Collision Avoidance
Pick and Place
Insertion
Alignment
Sorting
Stacking
Palletizing
Bin Picking
Tool Changing
Gripper Control
End-Effector Design
Affordance Map
Task Primitive

Robotics Technology

Force / Contact

Force Control
Impedance Control
Admittance Control
Compliance Control
Contact Detection
Slip Detection
Pressing Force
Insertion Force
Load Threshold
Overload Detection
Current Limit
Torque Limit
Soft Stop
Hard Stop
Retraction Motion
Recovery Motion
Force Feedback
Contact State
Pressure Profile
Z-Axis Control

Robotics Technology

AI Model

Vision Model
Segmentation Model
Detection Model
Pose Model
Anomaly Detection
VAE
Diffusion Policy
Behavior Cloning
Reinforcement Learning
Imitation Learning
Policy Learning
Trajectory Model
Latent Space
Feature Embedding
Few-Shot Adaptation
Human-in-the-Loop
Active Learning
Dataset Curation
Annotation Pipeline
Model Evaluation

Robotics Technology

Workcell

Robot Arm
Mobile Robot
AMR
AGV
Humanoid
Gripper
End-Effector
Camera Mount
Lighting
Fixture
Jig
Conveyor
Feeder
Tray
Pallet
Inspection Station
Reject Station
HMI
Operator Panel
Safety Zone
Work Envelope

Robotics Technology

Factory Data

MQTT
OPC UA
REST API
WebSocket
Message Broker
Event Log
Telemetry
Time-Series Data
Production Count
Cycle Time
Takt Time
Downtime
Fault History
Inspection Result
Process Parameter
Quality Data
Traceability
Dashboard
Alert
Report

Robotics Technology

Safety

Emergency Stop
Safety PLC
Safety Zone
Light Curtain
Area Scanner
Door Interlock
Torque Limit
Speed Limit
Workspace Limit
Collision Check
Fault Detection
Safe Stop
Protective Stop
Manual Mode
Auto Mode
Teach Mode
Recovery Mode
Restart Condition
Operator Confirmation
Audit Log

Robotics Technology

Engineering System

Task Definition
Requirement Spec
Interface Spec
I/O Map
State Machine
Sequence Diagram
Failure Mode
Acceptance Criteria
Test Case
Simulation Test
Hardware Test
Regression Test
Version Control
Naming Rule
Component Registry
API Contract
RAG Rulebase
Agent Workflow
Review Protocol
Validation Report

Patent Portfolio

The five technology moats protect operating cost and safety structure.

Receivepower IP is a core technology asset that simplifies aircraft structure, implements predictable safety behavior in emergencies, and lowers the cost of repeat operation.

Back to Technology

How to Read the IP

Receivepower IP should be read through aircraft-structure changes and operating effects rather than technology names alone. Each moat connects configuration, change, and effect to aircraft price, maintenance cost, utilization, and safety.

EconomicsDirection: reduce mechanical parts, production steps, and maintenance items
SafetyDirection: make transition, failure, power loss, and state recognition explainable

Registered

1. Independently Controlled Tilting Propulsors

A structure that moves beyond tilting every propulsor at the same angle at once, separating thrust and lift during the transition phase.

ConfigurationIndependent tilting by propulsor and distributed-propulsion control
ChangeSubdivides the transition from vertical flight to fixed-wing cruise
EffectVTOL transition stability and crewed-flight scalability

Filed

2. Virtual Control Surface-Based Flight Control

A structure that reduces dependence on physical control surfaces, hinges, links, and actuators, using propulsor placement and thrust differences as flight-control resources.

ConfigurationUses the positions and phase differences of distributed propulsors as control resources
ChangeReduces moving control surfaces and related mechanical parts
EffectReduces aircraft cost, maintenance items, and production complexity

Filed

3. Discrete Matrix-Based Flight Management System

A deterministic flight-management structure that predefines flight states and failure states, then switches to the control mode for each state.

ConfigurationState-specific control matrices and failure-response modes
ChangeSeparates control into testable units instead of black-box decisions
EffectCertification explainability, operating logs, and failure-response structure

Filed

4. Passive High-Lift Control

An independent invention that uses the aircraft’s lift and rotating elements during power loss or low-speed phases to secure landing margin and directional control.

ConfigurationUses lift, drag, and rotational behavior in passive state
ChangeSecures additional time and space in emergencies
EffectPower-loss scenarios and emergency-landing safety

Filed

5. SADS-Based Virtual Pitot

An independent invention that estimates the aircraft’s air-state by fusing multiple signals rather than relying on a single physical sensor.

ConfigurationState estimation based on GNSS, IMU, propulsor data, and sensor fusion
ChangeSecures an auxiliary channel for judging the aircraft’s current air-state
EffectState recognition, mode transition, and control stability

How the Five Technology Moats Connect

Truck-Level EconomicsVirtual control surfaces, control-surface-free structure, simplified production and maintenance
Crewed-Flight SafetyTilting transition, discrete control, passive high-lift, and SADS state estimation
SDAAircraft architecture starting from operating conditions and failure scenarios

View Technology View Product

Product Direction

Cargo-first Aerial Robot.

We removed control surfaces, reduced parts to 1/100, and turned certification into a procedure. Lambda proves it first.

Product Logic

Lambda products are structured by the causal chain between market, certification, manufacturing cost, and maintenance cost.

The value of Lambda SDA is proven by numbers, not adjectives. Performance, safety, operating economics, and maintenance structure are organized around facts.

Why It Must Be a Tiltrotor: Market Expansion

To enter urban aviation, VTOL is required. To expand into regional mobility, wings for long-range flight are essential.

Operating efficiency is maximized only when there are no dead rotors that create drag in flight. This is why existing tiltrotor-based eVTOL companies can have high valuations while carrying major uncertainty.

Why It Must Be an Independent Tiltrotor: Predictable Certification Duration

Conventional tiltrotors rely on complex probabilistic control, making DO-178C software certification uncertain. This is a core reason tiltrotor-based eVTOL companies carry both high valuation and high uncertainty.

Independent control makes every flight response traceable and reproducible. Because the flight algorithm is deterministic, certification time and budget can be forecast.

Why Virtual Control Surfaces Matter: Lower Manufacturing and Maintenance Cost

Physical control surfaces and mechanical actuation are removed, and flight is controlled through software-based rotor control.

Mechanical linkages disappear, enabling automated production of wings and fuselage and lowering aircraft price toward 10% of conventional levels.

As moving parts fall toward 1/100, wear and failure points decrease, reducing operating maintenance cost and maintenance time.

Passive Flight Capability: A Condition for Regulatory Entry

FAA guidance AC 21.17-4 Appendix A, PL.2105(g), states that controlled emergency landing through glide or autorotation after power loss is required.

Meeting this regulatory condition is necessary to obtain actual operating approval.

Integrated SDA Value: Competing with Ground Freight Prices

SDA is an architecture that combines deterministic flight control, passive emergency landing capability, and extreme parts simplification.

By securing high safety while lowering production and maintenance cost, it can compete on freight price with existing ground logistics beyond aviation.

Lambda

Lambda Aerial Robot Starts with Cargo Operation

Lambda is a tiltrotor aircraft that flies far like a fixed-wing aircraft, is precisely controlled like a drone, glides like a glider, and prepares passive landing like a gyroplane.

Lambda focuses first on cargo entry and safety-structure validation. Observation, crewed mobility, and humanoid-linked products expand sequentially from that validation.

Why Start with Cargo

Cargo is a market where freight price, time value, and repeat-operation rate appear as numbers. Cargo operation validates aircraft price, maintenance cost, utilization, airworthiness data, and failure-response structure first.

First Market500 kg-class mid-mile cargo with high time value
Operating DataAccumulated through uncrewed cargo operation
Expansion DirectionSafety structure that can lead to crewed flight

Test Vehicle

25 kg Concept Prototype

The 25 kg concept prototype validates SDA’s core transition-flight technologies on a real aircraft, integrating asynchronous tilt, passive high-lift control, SADS-based state estimation, and a power buffer.

Prototype 25 kg Concept Prototype

A real test vehicle for SDA transition flight and safety margin

Part 108 300-500 kg uncrewed cargo

Core axis for uncrewed mid-mile cargo operation

Part 22 Crewed-flight expansion axis

Expansion path after cargo data and safety architecture

Product categories are determined by operating conditions.

Product categories such as observation, cargo, crewed mobility, and humanoid integration are organized by mission conditions and business validation. This page focuses on Lambda’s cargo-first entry and safety-validation sequence rather than a fixed lineup.

Currently Fixed AxisLambda Part 108 / Part 22
Expansion TargetsObservation, cargo subtypes, crewed variants, and humanoid-linked products are sequential expansion targets after Lambda’s cargo-first validation.
CriteriaOperating conditions, certification path, market-entry sequence

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Market Entry

We start with cargo corridors where time loss becomes cost.

Receivepower first secures economics and operating data through cargo operation. In corridors where ground and sea transport lose time, we validate repeat operation of aerial robots and use that data to build the path toward crewed flight.

Initial Market Time-sensitive cargo corridors across ports, industrial zones, islands, and medical hubs. Commercialization and Partnerships Local governments, operating models, leasing, MRO, and Flight OS structures.

Local Government (Korea)

Regional Demonstration Aircraft Development

For Korean local governments, we propose aerial logistics PoCs, dedicated aircraft development, and urban air mobility infrastructure studies tailored to regional problems. Dedicated aircraft development is organized as an approximately KRW 200 million project based on Part 108 and Part 22 classes.

Study projects begin at around KRW 20 million, and dedicated aircraft development/production at around KRW 200 million. We first build aerial logistics corridors and aircraft matched to regional geography and industry, including island logistics, medical samples, urgent industrial parts, port connections, tourism, and disaster response. Pilot projects will proceed sequentially with Korean local governments.

Local Government (Japan)

Regional Logistics Corridors and Local Assembly/MRO Bases

For Japanese local governments, we propose dedicated regional aircraft development together with local assembly and maintenance bases. Regions with dispersed islands, ports, industrial zones, and medical hubs can build both aerial mid-mile logistics and local industrial infrastructure.

Initial projects proceed through dedicated route design, aircraft specification, assembly/MRO base review, and operating-data accumulation. A cross-border cargo corridor between Busan Port and mainland Japan is the first candidate.

Drone and Aircraft Companies

Dedicated Aircraft Development and Joint Business

For drone and aircraft companies, we propose mission-specific aircraft development and joint business. Key collaboration points include asynchronous tilting thrust, virtual control surfaces, a control-surface-free structure, discrete control, and passive high-lift control.

Collaboration can extend to mission-specific aircraft specs, rotor and propulsion layout, control software, certification data accumulation, and regional operating-model design.

Humanoid and Intelligent Robot Companies

Logistics-Linked DX Solution Development

For humanoid and intelligent robot companies, we propose DX solutions linking aerial logistics with ground robots. Aerial robots connect hubs, while ground robots handle unloading, sorting, movement, and maintenance.

Receivepower’s Physical AI capabilities center on sensor fusion, state estimation, control, and abnormal-state response. This technology extends beyond aircraft control into robot systems for logistics sites.

Mainland Japan - Busan Port

From Busan to Fukuoka, sea transport takes about three hours; Lambda takes about 59 minutes. This corridor is an early example of aerial-robot economics where ground and sea transport lose time.

Flight distanceApprox. 200-215 km
Cruise flight timeApprox. 50-59 min
Direct one-way aircraft operating costApprox. KRW 96,000-104,000

Business

Back to Market

Patent Licensing

Asynchronous tilting, virtual control surfaces, discrete control matrices, passive high-lift control, and SADS-based virtual pitot are the core rights of SDA. Instead of selling completed aircraft only, the model creates recurring revenue through Flight OS, technical white papers, IP licenses, and running royalties.

Development JV

Development Joint Venture

Receivepower provides design, control, software, and patents as a standard architecture, while partners expand with capital and supply chains.

Manufacturing JV

Manufacturing Joint Venture

Factories, equipment, local permits, and assembly labor are handled by regional manufacturing JVs. Receivepower designs a simple control-surface-free aircraft structure and a COTS-based supply chain so manufacturing partners can assemble and replace parts quickly.

Revenue Stack

The business model prioritizes stability.

SDA’s target is not to become a hardware manufacturer, but to shape the cost structure and operating standard of aerial logistics. Aircraft sales, leasing, corridor operating rights, MRO, Flight OS, airworthiness data, and regional JVs drive the business stack.

Local Government (Korea)

Regional Demonstration Aircraft Development

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Local Government (Japan)

Regional Logistics Corridors and Local Assembly/MRO Bases

Back to Home

Cargo Operating Asset KRW 100M

Target aircraft price for the 500 kg-class mid-mile cargo aircraft. The aircraft is a fleet asset that produces operating revenue.

Lifetime Revenue Potential KRW 5B

Lifetime revenue target that one aircraft can create through repeat operation, leasing, route slots, and software subscriptions.

Target Margin 50%

Target margin structure based on low-cost aircraft, control-surface-free structure, reduced airworthiness-maintenance cost, and Flight OS operating efficiency.

Operating Model Lease + Operate + SaaS

Combines aircraft supply, leasing, direct operation, operating software, and airworthiness data services to create long-term operating revenue.

물류장비, 운송 네트워크, 소프트웨어의 결합

Lambda의 사업 구조는 자동화 물류장비, 운송 네트워크, 소프트웨어 구독을 결합한 모델입니다. 고객은 500kg급 항공 미드마일 처리량과 SLA를 구매합니다.

Asset Logic

The aircraft is both a product and a long-term operating asset.

If a KRW 100 million aircraft has KRW 5 billion lifetime revenue potential, repeat operation, leasing, route operation, kg-km throughput, Flight OS subscriptions, and airworthiness data services create the long-term revenue structure.

고객 편의성

Customers do not buy an aircraft. They buy the ability to deliver cargo within a defined time.

Logistics customers buy the ability to move a defined weight to a defined hub within a defined time. Lambda creates operating value around 500 kg-class mid-mile SLA, time savings, and repeat-operation rate by corridor.

Platform Operation

Hardware is deployed quickly at low cost, while revenue repeats through operation, maintenance, and data.

비행계획, 이산 매트릭스 기반 Flight OS, 감항유지 로그, 배터리·모터 수명관리, 경로 최적화, 보험 데이터는 통합 운영 계층으로 연결됩니다. 하드웨어는 낮은 가격으로 빠르게 배치하고, 반복수익은 회랑 운항·정비·데이터 서비스에서 발생합니다.

View Market Company 보기

Flies cheaper than trucks and safer than passenger aircraft.

A simpler aircraft expands the range of collaboration.

Asynchronous tiltrotor flight example

Distributed-propulsion aerial robot

Stagger-based virtual control surface

Differential-thrust-based control

Each of the eight propulsors moves differently.

Vertical takeoff

First tilt

Control-authority transfer

Second tilt

Horizontal control authority

Horizontal cruise

What kind of collaboration are you looking for?

Capital Investment

Technology Collaboration

Talent

Technology

VC / Capital

Local Government (Japan)

Local Government (Korea)

Drone Companies

Individual Investors

One technology choice defines the range of collaboration

Fixed-Pitch Rotor

Control-Surface-Free Architecture

Passive Glide Safety

Lambda begins with cargo corridors as an aerial robot.

We define the operating unit before the aircraft lineup.

Technology Stack

Operating conditions define the aircraft structure

Operation comes first

Explainable Flight

Mission Hardware

Protected Architecture

A low-cost aerial logistics market opens only when aircraft cost and repeat-operation rate align.

The market needs lower operating cost, not just a better aircraft.

Corridors where time loss costs more than air transport

Some corridors are too slow by road, schedule-bound by sea, and too expensive for conventional aircraft.

Lambda IP lowers operating cost and makes the flight structure safer.

Asynchronous Tiltrotor

Deterministic Flight

Control-surface-free aircraft

Autorotation-Aware Safety

Passive Glide Control

Aircraft price

Maintenance burden

Certification Barrier

Operating Model

Starting with aerial logistics, it expands into Physical AI that moves real machines.

Defining machines from operating conditions does not end in the air.

AI-Based Hardware

Humanoid Systems

To discuss technology collaboration,contact us.

Receivepower has developed intelligent robots since 2019.

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Lambda Engine and Wing Calculations

Reviewing 200 VTOL Forms and the Forgotten Patent

An Unexpected Registration and a Shared Decision

2026: Completion of the SDA Architecture

An Aircraft That Beats Trucks

A KRW 100 million operating asset creates recurring revenue by corridor.

Certification Schedule

1. It responds only as defined (DO-178C)

2. It can be controlled and landed even after engine loss (PL.2105(g))

3. Certifiable components are reduced to roughly 1/100

4. Cargo builds trust before passengers

Technology That Redesigns the Sky

Initial Market Entry

Investment Structure

Fleet infrastructure and recurring software revenue are designed together.

When aerial logistics cost falls to truck-level economics, logistics maps are redrawn as direct lines to destinations rather than along roads.

Robotics Technology

AI That Moves in the Physical World

Robot Middleware

Industrial Control

Coordinate Systems

Sensor Fusion

To discuss technology collaboration,
contact us.