What we do
Ngene is a technology provider specializing in Artificial Intelligence and Accelerated Computing.
Our software frameworks and intellectual property enable the research, development, optimization, and deployment of AI-based and signal processing systems for industrial applications.
Our toolkits are developed entirely in LabVIEW, eliminating third-party software dependencies and ensuring seamless integration into existing LabVIEW environments. Users can implement deep learning models, accelerate computations with GPUs and FPGAs, and perform advanced signal processing with minimal overhead.
Ngene provides a complete LabVIEW-native AI toolchain - from data collection and annotation with NNotate, to model training and optimization with DeepLTK, and deployment across CPUs, GPUs, and FPGAs.
Our solutions have been field-proven for over 10 years in industries such as test and measurement, industrial automation, life sciences, and embedded systems - offering robust performance, reliability, and long-term support.
Toolkits
We develop LabVIEW-native toolkits for AI, signal processing, and hardware acceleration. Our products for neural network training and deployment, GPU computing, and data annotation provide a complete, scalable solution for industrial AI applications.
Consultation
Ngene provides expert consulting services for integrating AI into LabVIEW-based systems. This includes support for model design, optimization, hardware selection (CPU, GPU, FPGA), and deployment strategy development for a wide range of applications.
R&D
We collaborate with industry partners and research institutions to develop advanced algorithms and deployable solutions in vision, audio, and real-time analytics.
Our R&D services bridge the gap between proof-of-concept and production-grade AI systems.
Products
Ngene offers a range of LabVIEW-native toolkits designed to accelerate AI and signal processing workflows. From data annotation and deep learning model training to hardware-accelerated deployment on CPUs, GPUs, and FPGAs, our products provide end-to-end solutions for industrial and embedded applications.
Each toolkit is built for seamless integration, high performance, and long-term reliability.
DeepLTK
Deep Learning Toolkit for
LabVIEW
A comprehensive, general-purpose toolkit for integrating deep learning into LabVIEW. Fully developed in LabVIEW, it requires no third-party frameworks such as PyTorch or TensorFlow. DeepLTK supports training and deployment of deep neural networks for a variety of tasks, including image classification, object detection, signal pattern recognition, and anomaly detection.
CuLab
GPU Toolkit for LabVIEW
A high-performance GPU acceleration toolkit for LabVIEW that offloads intensive tasks to NVIDIA GPUs. CuLab offers comprehensive APIs for vector math, matrix operations, filtering, and advanced signal processing. Enables users to build high-performance data processing pipelines
directly in LabVIEW, without CUDA code. Ideal for high-throughput, low-latency applications like RF signal processing, computer vision, real-time analytics, and scientific computing.
UVAD for DeepLTK
Unsupervised Visual Anomaly Detection
UVAD is an add-on for DeepLTK that provides advanced, real-time, unsupervised detection of visual anomalies without the need for labeled training data. It leverages deep learning techniques to identify defects, irregularities, and outliers in images and video streams, making it ideal for industrial inspection, quality control, and safety monitoring.
FPGA for DeepLTK
FPGA Acceleration for Deep Neural Networks
Extends DeepLTK to deliver fast, reliable deep learning inference on FPGA hardware. Designed for seamless LabVIEW integration, it enables real-time AI applications on embedded and edge devices, offering enhanced performance and low latency for industrial and embedded systems
NNotate
Image and video annotation tool
An intuitive image and video annotation tool designed to streamline dataset creation for deep learning applications. It features easy-to-use interfaces for object labeling and region marking, enabling efficient preparation of high-quality annotated data. NNotate supports diverse data formats, accelerating model development and improving detection accuracy.
BFDOA
Beamforming and Direction Finding Toolkit for LabVIEW
A LabVIEW toolkit for advanced spatial audio processing, supporting beamforming and direction-of-arrival estimation for microphone arrays and sensor systems. It enables precise localization and filtering of sound sources, ideal for applications in audio signal enhancement, noise reduction, and acoustic monitoring
Our Clients
5
Continents
70+
Countries
200+
Companies
4000+
Users