Synthetic data allows to recreate realistic routes in American suburbs. MLtwist has the technology and services to generate synthetic videos up to 30 minutes, with different scenes combined and different weather conditions.
This company developed a product that employs a combination of natural language processing (NLP) and computer vision (CV) to analyze digital content at a granular level. It assesses the suitability of text, images, video, and audio.
A leading AI technology company has selected MLtwist tech + workforce to help them develop a large language model (LLM) to work with a proprietary internal coding language created for mission-critical applications.
MLtwist contributed to a project at the Stanford School of Engineering that gives Sindhi a place in AI.
Sandia National Laboratories is helping to advance aviation security by integrating AI into threat detection systems. However, training these AI models requires vast amounts of accurately labeled, multimodal data, especially in specialized formats.
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