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.
An AI data validation company had a massive amount of data with 100K file transformations and an ambitious deadline to meet. They used MLtwist to get it done ahead of schedule and surpass accuracy targets, all without scaling headcount.
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