INITIALIZING
SYSTEM CHECK
0%
System Online v3.1

INVISIBLE
INTELLIGENCE.

We turn chaotic radar signals into precise spatial awareness. No Cameras. No Latency. No Compromise.

Discover
Nvidia Orin•Bosch•Siemens•Tesla• Nvidia Orin•Bosch•Siemens•Tesla•
Nvidia Orin•Bosch•Siemens•Tesla• Nvidia Orin•Bosch•Siemens•Tesla•

"The optical spectrum is crowded.
We engineer the invisible."

Cameras fail in darkness, fog, and rain. They invade privacy and require massive bandwidth. Hatticore bridges the physical and digital worlds using Millimeter Wave Radar. We process 4D point clouds directly on the edge, creating systems that see without watching.

Core
Capabilities.

Developing intelligence, safety, and autonomy for machines using robotics, telematics, and radar-based perception.

Software

Perception Software

Advanced signal processing algorithms and edge AI inference. We develop intelligent decision pipelines that turn raw sensor data into autonomy.

On-Device Inference
Real-time Edge AI
Signal Processing
Noise Filtering
DECISION PIPELINE
Active●
MODEL ACCURACY
99.8%
Hardware

Reference Hardware

Sensor kits and integration components designed to accelerate development.

  • Radar Sensor Kits
  • Reference Devices
  • Integration Modules

R&D & Services

Comprehensive engineering support from simulation to validation.

DATASET MGMT
SIMULATION
COMPLIANCE
CONSULTING

Secure Data Pipelines

Built with Privacy by Design. We prioritize on-device processing and ensure secure remote updates (OTA) for all deployed fleets.

Secure OTA GDPR Ready
50M+
Data Points / Sec
99.9%
Accuracy
0
Privacy Breaches
24/7
Operation
Proprietary Tech

See through
the noise.

Our Deep Neural Networks (DNNs) are trained on massive datasets of radar micro-Doppler signatures. We separate the signal from the noise to identify humans, pets, and vehicles with unprecedented precision.

  • 01 4D Point Cloud Generation
  • 02 Micro-Doppler Classification
  • 03 Sensor Fusion Ready (LiDAR/RGB)
HUMAN_01
PET_02

Built for Developers.

Integrate industrial-grade perception in lines of code, not months of R&D. Full Python and C++ support.

import hatticore as hc

# Initialize Radar Sensor
sensor = hc.Sensor(port="/dev/ttyUSB0", freq="60GHz")

def on_detect(objects):
    for obj in objects:
        if obj.type == "HUMAN" and obj.dist < 2.0:
            trigger_safety_stop()
            print(f"Alert: {obj.id} detected")

# Start Real-time Stream
sensor.stream(callback=on_detect)

Radar Signal.

View All ->
OCT 12, 2025 • ENGINEERING

Why 60GHz Radar beats Vision in Privacy-Sensitive Areas.

A technical deep dive into regulatory compliance and the physics of millimeter waves.

Read Article
SEP 28, 2025 • COMPANY

Hatticore raises Series A to expand into Automotive.

Accelerating our roadmap for in-cabin monitoring and autonomous safety systems.

Read Article
AUG 15, 2025 • TUTORIAL

Getting started with HattiOS SDK v2.0.

Learn how to integrate radar point clouds into your Python application in 5 minutes.

Read Article

Trusted by Visionaries.

"Hatticore's point cloud resolution is unmatched. We replaced our entire LiDAR stack in our warehouse robots and saved 40% on BOM costs."

Sarah Jenkins
CTO, AutoBots Inc.

"Finally, a sensor solution that respects patient privacy. The fall detection accuracy is life-saving for our elderly care facilities."

Dr. Alistair Ray
Director, CareFirst

"The integration was seamless. Their Python SDK allowed our team to get a live data stream running in under an hour."

Marcus Chen
Lead Engineer, FutureCity

Frequently Asked Questions.

Everything you need to know about our radar technology and integration.

Does the radar work through walls?
Yes, Millimeter wave radar can penetrate drywall, plastic, and glass. However, signal strength is reduced. We provide software tools to set up "Geo-fencing" to ignore signals from outside specific zones.
Is it GDPR compliant?
Absolutely. Unlike cameras, our sensors generate point clouds (dots in 3D space), not images. No facial recognition or identifiable biometric data is ever recorded, making it inherently privacy-safe.
What hardware do I need?
You can start with our Sensor Development Kit which connects via USB-C. For deployment, our software runs on NVIDIA Jetson, Raspberry Pi, or directly on the sensor's embedded MCU for ultra-low power applications.

Join the Frequency.

We are looking for engineers, physicists, and dreamers to help us map the invisible world.

View Openings