
Deepnight AI is a company focused on AI-driven night-vision technology. Its core product, "Phantom," is an AI night-vision software that enables real-time full-color imaging in extremely low-light environments.
The main advantages are replacing costly legacy analog hardware with software plus mass-market digital sensors to significantly reduce cost, while offering high compatibility across different hardware platforms.
It can be applied across defense, security and law enforcement, automotive, and consumer electronics—examples include security surveillance, autonomous driving, drones, and smartphones.
As a pure software solution, it primarily relies on AI image-processing algorithms and can be integrated into any camera device with a low-light digital CMOS sensor, without needing traditional infrared or thermal-imaging hardware.
The company states the technology can produce clear, high-contrast color images in near-total darkness and supports real-time processing with motion compensation.
DeepAI is an integrated generative AI platform offering tools to generate and edit multimodal content such as images, videos, music, and text. The platform aims to help creators, developers, and everyday users quickly bring ideas to life with an intuitive, easy-to-use interface, lowering the barrier to using AI technology.

Ambient.ai is an enterprise-grade physical security platform powered by artificial intelligence and computer vision. It analyzes live video streams and access-control data in real time to automatically detect threats, reduce false alarms, and speed up investigations—empowering security teams to shift from passive monitoring to proactive prevention and management.

Deep Art AI is an AI-powered visual creation tool that leverages neural style transfer and generative AI to transform photos into artworks or generate images from text descriptions. Its offline processing mode is designed to protect user data privacy, suitable for personal creative expression, professional design, and business integration across multiple scenarios.
AI or Not is a multimodal AI content detection platform that specializes in spotting AI-generated or tampered traces across images, audio, video, and text. It helps users verify the authenticity of digital content for workflows such as content moderation, anti-fraud, and copyright protection.

Claid AI is an AI-powered image processing platform focused on e-commerce and product photography. It uses AI to deliver features such as background removal, image enhancement, and AI-generated models, helping users quickly create high-quality visual assets, streamline content creation workflows, and boost efficiency.

Nightfall AI is an AI-powered enterprise-grade data loss prevention platform that helps organizations protect sensitive data, simplify compliance processes, and boost security operations efficiency through automated detection and real-time protection.

Overview AI Vision is a provider of AI-powered vision inspection solutions for manufacturing, offering integrated hardware-and-software systems. Its platform uses automated visual inspection to help manufacturers improve defect detection accuracy, accelerate production, and reduce operating costs, applicable to quality-control scenarios across industries such as consumer electronics (3C), automotive, and semiconductors.

Light Painting AI is an AI-powered image lighting editing tool built on ControlNet. It reshapes lighting effects in images through AI technology, helping photographers, designers, and creators effortlessly achieve professional lighting and post-processing results.
Nightmare AI is a free online AI-powered image enhancement tool that offers image super-resolution upscaling, old photo restoration, and style transfer to help users boost image clarity and visual quality.

Lightly Vision AI is a computer vision–focused intelligent data management and model training platform designed to boost AI development efficiency and model performance by improving data quality. It provides end-to-end tools—from data selection and annotation to model training and edge deployment—helping machine learning teams handle large-scale vision data more efficiently.