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Looking to implement AI in your business?

Leave that to us ↓

From small startups to big companies — we’re helping everyone.

IT ALL STARTED WITH A FREE COMPUTER VISION LIBRARY — OPENCV

We create practical AI solutions for startups and Fortune500 companies.

The pose tracking algorithms we create are capable of analyzing human body poses and are used for various applications, ranging from automatic workout analysis 
to AR gesture recognition.
Tracking - Analyzing bicycle traffic can be challenging due to the absence of license plates and unpredictable trajectories. Our advanced system simplifies this task by adeptly detecting, counting, and identifying bicyclists across multiple cameras.

Operating in real-time on an NVIDIA Jetson Xavier NX, our solution boasts an impressive 0.83 F1-score for the ReID task, showcasing its effectiveness and accuracy in addressing complex urban mobility challenges.
3D Tomography Analysis - We applied our expertise in 3D understanding to create medical tools that help radiologists diagnose diseases. Our algorithms recognize tumors in liver, kidney and lungs.

We have won one of the challenges in LNDb — a big public benchmark on computer tomography segmentation. The paper was published on ICIAR2020 conference in June.

We develop AI software

We use our multi-decade expertise in Computer Vision and Artificial Intelligence to efficiently and scalably solve your problems.

AI solutions for your Industry

01
Medicine & Biotech

Medicine & Biotech

In-depth visualization of potential risks and valuable insight into possible abnormalities.

Stores, Offices and Warehouses

Inventory management, customer behavior and in-store analysis, shelf space management to increase the revenue and save costs on operations.
02

Manufacturing and Construction

Product defects and quality inspection, construction site safety surveillance.

Fitness and Sports

Pose tracking algorithms for helpful insights into body position while exercising.
03

ADAS and Smart cities

Traffic lights and signs detection and recognition, pedestrians detection, lane departure warning.

Metaverse & AR

Computer vision and augmented reality to help users to communicate with meta worlds – and beyond.
04
interested?

Check out our portfolio for more→

No matter what you need

We provide innovative solutions to help businesses succeed.

01.

Object Segmentation

Algorithms we offer can be used for quick real-time segmentation of different objects and scenes in complex environments, making it ideal for a range of applications, including virtual reality, gaming, and AR.
Object detection & tracking
02.

Object Detection & Tracking

Our object detection and recognition solutions are sure to pay off in such spheres as industrial safety, fashion analytics, cashier-less stores, road safety and lots more.
3D Solutions
03.

3D Solutions

Our expertise in NeRF technique allows us to reconstruct 3D surface with great accuracy using only 100 images dataset.
Pose Estimation
04.

Pose Estimation

Our pose estimation, people tracking and detection solutions are built using state-of-the-art algorithms and deep learning techniques, making them highly accurate and reliable even in complex environments with multiple people and objects.
Camera Calibration
05.

Camera Calibration

We excel in camera calibration, including fisheye lenses, and have developed a custom calibration system that supports angles exceeding 180 degrees. Our expertise also extends to camera autocalibration solutions, which can adapt to changing environments without the need for manual calibration.
Low-power Solutions
06.

Low-power Solutions

We use quantization to speed up the networks or enable the inference on devices that support fixed point computations.
Deploy everywhere

Cloud, local, or edge device deployment.

On edge devices
The data can be processed on the device used to capture it, thus saving big on server costs.
On-premise | servers
With on-premise inference the information stays at the source, which keeps your data secured and protected.
Cloud
Cloud solutions are sure to provide a flexible and cost-effective way to leverage computer vision models for a variety of applications. Easily scale up or down depending on the size and complexity of the case.

On edge devices

The data can be processed on the device used to capture it, thus enhancing user privacy and saving big on server costs.
AI on Edge Devices

Cloud

Cloud solutions are sure to provide a flexible and cost-effective way to leverage computer vision models for a variety of applications. Easily scale up or down depending on the size and complexity of the case.
AI in the cloud

On-premise servers

With on-premise inference the information stays at the source, which keeps your data secured and protected.

Leadership

Dr. Gary Bradski

Chief Scientist and President

Gary Bradski, PhD is an internationally recognized entrepreneur and researcher in computer vision and machine learning. Gary founded and still runs OpenCV - the most popular open source computer vision library in the world.
Dr. Satya Mallick

Chief Executive Officer

Dr. Satya Mallick is an accomplished computer vision and machine learning scientist and engineer. Dr. Mallick is also the author of a popular computer vision blog LearnOpenCV.com. He has lead dozens of successful computer vision and machine learning consulting projects.
Dr. Satya Mallick
Dr. Mallick is an accomplished computer vision and machine learning scientist and engineer. He has lead dozens of successful computer vision and machine learning consulting projects.  His work has been featured in publications like the BBC, Time, Huffington Post, the Wall Street Journal, Oprah Magazine, and TechCrunch.
Anna Petrovicheva

Chief Technology Officer

Anna Petrovicheva, https://www.linkedin.com/in/anna-petrovicheva-44b24673/
Anna Petrovicheva
Anna is an expert in Computer Vision and Artificial Intelligence with a decade of successful experience in the industry. Working with teams worldwide on Deep Learning and Computer Vision algorithms and products, Anna’s created solutions for a wide range of industries, including medicine, security, sports, and virtual reality.
Grigory Serebryakov

Chief Development Officer

Grigorii Serebriakov is an expert in Computer Vision systems design and development, as well as their deployment to edge devices or cloud. He brings the powerful Deep Learning algorithms to the edge devices with the state-of-the-art compression techniques.
Grigory Serebryakov
Grigory is an expert in Computer Vision systems design and development, as well as their deployment to edge devices or cloud. He brings the powerful Deep Learning algorithms to the edge devices with the state-of-the-art compression techniques.
Tatiana Khanova

Chief Research Officer

Tatiana Khanova - is a world-class specialist in Deep Learning and Computer Vision with more than 8 years of experience in  both classic and Deep Learning algorithms for object detection (general and task-specific classes like vehicles, pedestrians), gesture recognition, image classification. Tatiana is an author of several papers at the biggest industrial conferences such as CVPR and ECCV.
Tatiana Khanova
Tatiana is a world-class specialist in Deep Learning and Computer Vision with more than 8 years of experience in both classic and Deep Learning algorithms for object detection (general and task-specific classes like vehicles, pedestrians), gesture recognition, image classification. Tatiana is an author of several papers at the biggest industrial conferences such as CVPR and ECCV.
Dr. Gary Bradski
Chief Scientist and President
Gary Bradski, PhD is an internationally recognized entrepreneur and researcher in computer vision and machine learning. Gary founded and still runs OpenCV - the most popular open source computer vision library in the world.
Dr. Satya Mallick
Chief Executive Officer
Dr. Satya Mallick is an accomplished computer vision and machine learning scientist and engineer. Dr. Mallick is also the author of a popular computer vision blog LearnOpenCV.com. He has lead dozens of successful computer vision and machine learning consulting projects.
Anna Petrovicheva
Chief Technology Officer
Anna Petrovicheva, https://www.linkedin.com/in/anna-petrovicheva-44b24673/
Grigorii Serebriakov
Chief Development Officer
Grigorii Serebriakov is an expert in Computer Vision systems design and development, as well as their deployment to edge devices or cloud. He brings the powerful Deep Learning algorithms to the edge devices with the state-of-the-art compression techniques.
Tatiana Khanova
Chief Research Officer
Tatiana Khanova - is a world-class specialist in Deep Learning and Computer Vision with more than 8 years of experience in  both classic and Deep Learning algorithms for object detection (general and task-specific classes like vehicles, pedestrians), gesture recognition, image classification. Tatiana is an author of several papers at the biggest industrial conferences such as CVPR and ECCV.
Want to know what we are using? Here’s the list.

Tools and hardware we use to work wonders.

Tools
Pytorch
TensorFlow
OpenCV
CUDA/cuDNN
Core ML
TensorRT
CVAT
JAX
ONNX
OpenVINO
Deepstream SDK
TF Light
Hardware
ARM
RISC V
Jetson
NVIDIA GPU
Raspberry Pi
Intel / AMD CPU
Intel Myriad X

Careers

Career

Big Data Engineer, Data Modeling
Get up to speed in the data science and machine learning domain, implementing analysis components in a distributed computing environment (e. Proficient with programming in Python & Scala, experience..
San Francisco, California, United States — All teams (roles across multiple teams)
Learn more

Career

Research Scientist / Software Engineer in Systems
As a Researcher or Software Engineer in Systems and Scaling, you will work at the intersection of hardware and software, co-designing systems and...
Remote, GMT +3
Learn more
All Careers