Power-Hungry
GPU-based autonomy requires 10–60W of onboard power, draining battery quickly and severely limiting flight time in real-world deployments.
Intelligence That Flies.
ACORN builds neuromorphic brains for autonomous drones — small enough to fly, powerful enough to think. Real-time autonomy without the power tax.
Request DemoReal-Time Autonomy in
Low-Light Environments
100× Lower Power vs Standard Processing
RGB Camera
Event-Driven Perception with SNN + ACORN Neuromophic Chip
Low-light conditions degrade frame-based vision, increasing latency and reducing reliability. ACORN overcomes this with event-driven perception.
RGB Camera
Event-Driven Perception with SNN + ACORN Neuromophic Chip
ACORN delivers a neuromorphic chip, integrated system, and SDK for plug-and-play drone intelligence.
AAdaptable
CCost-efficient
OOptimized
RReal-time
NNeuromorphic
The Autonomous Drone Trade-off
Autonomy that kills flight time or flight time that sacrifices intelligence.
Too Heavy
GPU-based compute modules add bulk and weight, making them impractical for sub-250g drones and limiting flight time and agility.
Too Slow to React
Traditional vision systems process data frame-by-frame, introducing latency that prevents drones from reacting fast enough in real-world environments.
Thermal Runaway
High-power compute (up to 60W) generates excess heat, causing thermal throttling and increasing the risk of overheating in long-duration missions.
Why ACORN
ACORN’s neuromorphic compute platform eliminates the trade-off between power, weight, and latency—enabling real-time autonomy for drones.
Power Efficiency
Event-driven architecture combined with system-level and software optimizations eliminates unnecessary computation, enabling ultra-low power operation.
Real-Time Performance
Event-driven neuromorphic processing removes frame-based latency, enabling up to 5× faster perception and ultra-low latency in dynamic environments.
Lightweight Integration
A complete 6–8g plug-and-play module that replaces bulky compute stacks, enabling autonomy on sub-250g drones.
Plug-and-Play Drone Brain
Hardware and software co-designed to unify perception, planning, and control into a single system. With SDK support, it acts as a plug-and-play drone brain.
Custom Neuromorphic Chip
Built on custom-designed silicon optimized for ultra-low power and real-time onboard intelligence.
Where ACORN Flies
Built for autonomous drones across industries, with a focus on inspection and defense in GPS-denied, low-visibility, and complex environments.
Request Demo
Real-World Autonomy
Reliable navigation and decision-making for autonomous drones in complex, dynamic environments without relying on external infrastructure. Hybrid frame- and event-driven sensing enables robust, real-time perception.
GPS-denied environments
Enables reliable navigation in GPS-denied environments such as tunnels, warehouses, and industrial sites. Where drones must rely on onboard perception instead of GPS, operating under strict power constraints.
Swarm Autonomy
Swarm autonomy typically uses small, lightweight drones operating under strict power and size constraints. Ultra-light, low-power modules enable each drone to perform reliably within these limitations.
Low-Light, Cluttered & Night Environments
Low-light, cluttered, and night environments such as surveillance, forests, warehouses, and infrastructure sites are challenging for traditional frame-based vision systems. Fast obstacle detection is critical, as branches, walls, pipes, and debris can appear suddenly.
Electronic Warfare Environments
In contested environments, GPS and communication links can be disrupted or denied. Reliable operation depends on onboard autonomy that must operate within tight power and compute limits.
Always-On Reactive Autonomy
Used in dynamic and cluttered environments requiring continuous obstacle avoidance. Ultra-low latency perception enables real-time reaction to sudden changes.
Remote & Hard-to-Reach Terrain
Used in remote and hazardous environments such as mountains, forests, and disaster zones. Ultra-light, low-power modules enable longer-duration flights and reliable operation where access is limited.
Counter-UAS
Used in counter-UAS systems to detect and track fast-moving aerial threats. Ultra-low latency perception enables rapid response on ultra-light, low-power modules suitable for onboard interception.
A Chip Built for the Edge of Flight
ACORN's neuromorphic architecture processes sensory data the way biology does — efficiently, locally, and in real time. No unnecessary compute. No cloud dependency. No wasted power.
Event-driven sensingReacts only to change in the visual field. Zero latency from idle frames — only meaningful data triggers compute.
Spiking neural computationBrain-inspired SNN cores fire only when activated. Orders of magnitude more efficient than dense CNN inference.
Near-memory architectureProcessing happens where data lives. Eliminates the memory bandwidth bottleneck that defines conventional AI silicon.
DVS + sensors → ACORN core → ESC / motor commands
Real-Time ControlSub-millisecond perception and response for autonomous flight.
Ultra-Efficient Power100× more efficient compute for longer flight and sustained autonomy.
Secure Edge OperationNo cloud dependency. Decisions stay onboard.
Three Pillars of Efficient Intelligence
Purpose-built for autonomous systems that cannot afford the weight, power, or latency of conventional compute.
01 · PERCEPTION
Event-Driven Vision
ACORN's sensor front-end is designed around event-based cameras that fire asynchronously on pixel-level change. Only meaningful data enters the processing pipeline — idle frames generate zero compute.
DVS Sensors · Async Events · Zero Idle Power
02 · COMPUTE
Neuromorphic Processing
Multi-core spiking neural network engines perform sparse, near-memory inference. No batching overhead. No synchronization stalls. Pure real-time response to the physical world.
SNN Cores · Near-Memory · Sparse Compute
03 · POWER
GaN Power Architecture
A custom GaN-integrated power subsystem engineered for drone power rails. Clean, efficient regulation for sensitive analog and high-speed digital circuits at single-watt consumption.
GaN Integration · Drone-Optimized · <1W Peak