The startup develops enterprise search software that enables users to upload, index, and transcribe various file types, including PDFs, Word documents, audio, and video. This technology allows for precise content retrieval, enabling users to locate specific moments in multimedia files and highlight relevant occurrences in text and images.
Funding
$450K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to efficiently search and retrieve information from a growing volume of unstructured data, including documents, audio, and video files. Traditional search methods often rely on metadata or keyword searches, which fail to capture the full context and content within these diverse file types. This makes it difficult for users to quickly locate specific moments or relevant information, hindering productivity and knowledge sharing.
Solution
Omnisearch provides an AI-powered enterprise search solution that enables users to upload, index, and search across various file types, including PDFs, Word documents, audio, and video, without requiring manual metadata tagging. The platform uses machine learning to automatically extract content, understand context, and provide accurate search results, surpassing industry standards. Users can search for specific mentions within video and audio files, extract structured text from on-screen elements, and identify faces and logos. The solution can be deployed on-premise, in the cloud, or as a SaaS offering, and integrates with existing platforms through robust APIs.
Target Audience
The primary target audience includes organizations in media and entertainment, medtech, and education, as well as archivists and enterprises with large volumes of unstructured data.
Features
- Automatic content extraction from various file types (PDFs, Word documents, audio, video)
- Machine learning-powered indexing and transcription for accurate and instant search results
- Context-aware AI to understand the meaning and relationships within the content
- Multilingual support for over 20 languages
- Facial recognition and object detection capabilities
- Real-time monitoring and alerts for security footage applications
- API-driven flexibility for integration with existing platforms
- Scalable architecture supporting multiple servers and cloud environments
- Vector-based algorithm for personalized search experiences