Viddexa provides an API for automated multimodal video analysis, enabling businesses to categorize large video collections and extract specific moments with less than 100ms latency. Its scalable infrastructure supports millions of hours of video while generating insightful text from video content, outperforming existing cloud APIs and open-source alternatives.
Funding
Funding not disclosed
Founders
Product
Problem
Analyzing large video collections to extract specific moments and generate insightful text is a time-consuming and computationally intensive task. Existing cloud APIs and open-source alternatives often lack the speed, accuracy, and scalability required for production environments. This makes it difficult for businesses to efficiently categorize and leverage the information contained within their video assets.
Solution
Viddexa offers an API for automated multimodal video analysis, enabling businesses to efficiently categorize large video collections and extract specific moments with low latency. The platform leverages video-RAG (Retrieval-Augmented Generation) and video-LLM (Large Language Model) infrastructure to generate insightful text from video content. Viddexa's infrastructure is designed to be scalable, customizable, and accurate, outperforming existing cloud APIs and open-source alternatives. It can be deployed as a serverless cloud infrastructure or on a customer's own server.
Target Audience
Viddexa's primary customers are businesses with large video collections that need to efficiently categorize, analyze, and extract information from their video assets.
Features
- API for automated multimodal video analysis
- Video-RAG and video-LLM infrastructure
- Ability to categorize large video collections
- Extraction of specific moments with less than 100ms latency
- Generation of insightful text from video content
- Scalable infrastructure capable of handling millions of hours of video
- Customizable deployment options: serverless cloud or on-premise
- High accuracy, outperforming major cloud APIs and open-source alternatives