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AI Driven Video Summarizer

AI Driven Video Summarizer

AI Driven Video Summarizer

For an extremely rapidly growing startup, we built an AI system that transforms lengthy, often instructional videos into concise, optimized segments. The system cleanses transcripts, then leverages LLM models we fine tuned using training data meticulously annotated by a combination of other LLMs and our human team at Xyonix. It's adept at extracting key topics, generating summaries, easing navigation, and producing short, impactful videos in various formats. Already in public use and benefiting millions daily, this system is a game-changer for educational and instructional content, making complex information more accessible and engaging.

Video Content Creator

Video Content Creator

Video Content Creator

In collaboration with a rapidly growing startup, we've crafted an AI-driven solution for helping users rapidly create high-quality video content by automatically analyzing user generated movie scripts and identifying optimal video assets for inclusion in short videos. Our role extended beyond data science; we engineered and now host a fully scaled system. This platform excels in generating scene text and keywords, leveraging semantic search within a bespoke imagery index, and creating video metadata from video frames. Designed to facilitate the production of engaging videos and scripts for social media and advertising, this service is robust, fully managed, and caters to millions of users daily.

NLP for Public Health: Vaccine Hesitant Persona Mapper, A Case Study

NLP for Public Health: Vaccine Hesitant Persona Mapper, A Case Study

Vaccine Hesitant Persona Mapper

We were asked by Columbia University to help build a map of vaccine hesitancy to assist public health officials in increasing vaccination rates. We built a corpus of millions of social media messages from platforms like Twitter, Reddit and Youtube comments. We are now analyzing this data by manually annotating thousands of training examples using a multi-parent taxonomy and iteratively (active learning driven) training a multi-label machine learning and NLP powered parser. If we are successful, we hope to save lives by convincing the vaccine hesitant to protect themselves and their communities. [Read more]

Virtual Patient Intake Specialist for Online Health Services, A Case Study

Virtual Patient Intake Specialist for Online Health Services, A Case Study

Virtual Intake Specialist

We helped a company build a powerful virtual intake specialist that automatically communicates with patients to route them to the best care for their condition. Our AI system listens to patients and asks them just the right follow up questions, much like a traditional intake nurse might, to help schedule the best care option. [Read more]

AI Med Spa Assistant

AI Med Spa Assistant

AI Med Spa Assistant

Xyonix teamed up with an early-stage startup to launch an AI iPhone app based assistant to help Med Spa nurse practitioners. The AI technology adeptly categorized facial features, aiding in the assessment of treatments and spotting issues like temporal visual changes, ineffective product batches or injector performance. Integrated with iOS for precise patient driven photo alignment, the system enabled consistent treatment tracking. We played a pivotal role in technology development and strategic product planning; our involvement was key in fusing medical accuracy with technological innovation in product development. [Read more]

AI Backed Surgery, A Case Study

AI Backed Surgery, A Case Study

AI Backed Surgery

For a fortune 500 company, our Xyonix built models are in production today constantly analyzing thousands of recent in body surgery videos and reviews across many hundreds or thousands of surgery rooms around the world. Our models watch never ending streams of surgery videos, and read countless reviews. Our models power dashboards that help surgeons improve. [Read more]

Medical Treatment Author

Medical Treatment Author

Medical Treatment Author

We worked closely with a company to empower consumers with readily accessible quality health information by building systems that read large volumes of unstructured medical texts using deep NLP relation parsing techniques, and automatically authored millions of web pages. Our work resulted in site traffic growth of 10,000% averaging 6% week over week growth. The site attracted primarily physicians, physician specialists, and other researchers due in large part to the quality of the automatically generated text.

Sales Lead Conversation Bot

Sales Lead Conversation Bot

Sales Lead Conversation Bot

We worked closely with executives and data scientists of a major automated sales lead generation system to define an AI path forward that enabled their system to not only understand conversations, but to also generate responses for human consumption. We were able to efficiently extend one conversational domain from the recognition of just a handful of response categories, to over 50, all with very high accuracy.

Depression Text Analyzer

Depression Text Analyzer

Depression Text Analyzer

We built a system that helps artists like Metallica and Beyonce interpret the results of millions of fan text messages. During our analysis, we found that many fans were expressing depression related thoughts. We honed our AI models to more accurately differentiate between those discussing sad things and those more at risk of self harm. The results help get these fans professional help.