Explore our internal MVP, from speech retrieval to code and video search.
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Let's TalkAn intelligent code search assistant to help developers find relevant code snippets across large codebases using natural language queries, combining advanced code parsing, semantic embeddings, and Graph RAG techniques,
Software development teams, enterprise companies with large codebases, and open-source project maintainers.
A retrieval system to locate specific events within long videos using natural language queries. Users can search for specific moments using queries like "a person leaves a bag unattended in a train station" or "a dog jumps over a fence", and the system returns timestamps of matching events within a video.
Security and surveillance companies, sports analytics firms, law enforcement agencies, and any organization managing large videos.
A speech retrieval system designed to extract information from multiple speeches delivered in Arabic. The system transcribes each speech and identifies relevant audio segments based on user queries.
Media organizations, educational institutions, and content creators.