Dedomena
Who Is the Company Behind Dedomena?
- Seller: Dedomena
- Year Founded: 2021
- HQ Location: Rivas-Vaciamadrid, ES
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LinkedIn® Page: www.linkedin.com
24 employees on LinkedIn®
Total Products under this Category: 1,030
Last updated: September 01, 2026
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Highlighted products: Gemini Enterprise Agent Platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Alteryx, Amazon Personalize, Google Cloud TPU, and Dataiku.
Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=azure-openai-service&focus%5B%5D=alteryx&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=dataiku)
DeepSig is a pioneering technology company specializing in AI-native wireless communications. By integrating advanced artificial intelligence and machine learning into wireless signal processing, DeepSig develops innovative software solutions that enhance the performance, efficiency, and security of both commercial and private wireless communication systems. Their products are designed to adapt to dynamic wireless environments, offering significant improvements in capacity, coverage, cost, and energy efficiency. Key Features and Functionality: - OmniPHY-5G: An AI-driven solution that enhances 5G Radio Access Networks (RAN) by replacing traditional physical layer components with machine learning models. This approach improves channel estimation, equalization, and uplink throughput, leading to superior spectral efficiency and reduced total cost of ownership. - OmniSIG: A machine learning-powered spectrum awareness software that provides real-time detection, identification, and classification of wireless signals. OmniSIG enables users to monitor and secure the wireless spectrum by identifying interference, anomalies, and potential threats across wideband frequencies. - OmniSIG Studio: A comprehensive toolset for training, testing, and deploying custom deep learning models for spectrum sensing applications. It facilitates rapid development and deployment of AI models tailored to specific wireless sensing needs. Primary Value and Solutions Provided: DeepSig's AI-native solutions address critical challenges in modern wireless communications by: - Enhancing Network Performance: By leveraging AI to optimize signal processing, DeepSig's products significantly improve network capacity and coverage, ensuring reliable and high-quality wireless communication. - Reducing Operational Costs: The integration of machine learning models into wireless systems leads to more efficient hardware utilization and energy consumption, resulting in lower operational expenses. - Improving Security and Situational Awareness: DeepSig's spectrum awareness tools provide real-time monitoring and detection of wireless activities, enabling users to identify and respond to potential threats and anomalies promptly. Through these innovations, DeepSig empowers telecom operators, defense organizations, and other stakeholders to build smarter, more efficient, and secure wireless networks that adapt and improve over time.
Dino AI Trainer is a desktop application for training, testing, and running modern object detection models directly on your own PC. The app is designed for users who want to work with DINO-style AI models, detection workflows, custom datasets, and local training without relying on cloud services. With Dino AI Trainer, you can prepare datasets, select model checkpoints, start training runs, test detection results, and manage AI workflows from one graphical desktop interface. The application is especially useful for computer vision projects where custom objects need to be detected in images or videos. The app focuses on local execution. Your files, datasets, images, videos, model checkpoints, and training outputs remain on your computer unless you manually choose to move, upload, or share them through external tools. Dino AI Trainer provides a practical environment for experimenting with object detection models, comparing results, and building custom detection pipelines. Whether you are testing a small dataset, training a custom detector, checking a model checkpoint, or running detection on local media, Dino AI Trainer gives you a desktop workflow for AI model training and inference.