Video Is Your Most Underutilized Asset
Video holds more institutional knowledge than many organizations realize. Yet most struggle to access and use it effectively. It’s unstructured, scattered across systems, and disconnected from daily work.
Vbrick changes that.
Everything Your Video Knows…
Most AI systems read text. Vbrick reads everything: what’s said, seen, and shared in your videos. With multimodal AI, Vbrick brings richer insights from visual, audio, and contextual signals across your entire library – at scale.
…In Every System, Every Workflow
Vbrick doesn’t just understand video; it helps your organization put it to work.
Through the Vbrick MCP server, native integrations, and open APIs, the knowledge stored in your video library can securely connect to enterprise systems and AI platforms.
This Is What It Looks Like
When AI Meets Enterprise Video
Capabilities That Structure, Surface, and Deliver Video Intelligence at Scale
Smart Search
Discover insights across transcripts, visuals, and supporting materials using intelligent algorithms that interpret context and intent beyond keywords.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
Automated Metadata Generation
Instantly structure content at scale. Generate descriptions, titles, chapters, and tags with one click using generative and multimodal AI.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
Interactive Video Assistant
Ask questions and get answers. A generative AI-powered assistant lets employees and agents query directly across video transcripts, visuals, and supplemental files, surfacing the right information instantly.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
Transcription and Translation
Support global teams in over 100 languages. Automatically generate transcripts, translate subtitles in real time or for on-demand videos, and search transcripts for keywords and jump to where they are mentioned.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
Audio Generation
Produce natural-sounding, multilingual audio tracks for on-demand videos — without the cost of traditional voiceover production.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
User Tagging
Automate user tagging in videos, pinpoint appearances, and enable interactive searching for speaker segments.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
Content Intelligence and Monitoring
Use AI and natural language processing to analyze and monitor video content, helping you streamline compliance workflows, uncover trends, and deliver personalized recommendations.
Generative AI features are built on AWS Bedrock, Transcribe, Translate, Rekognition, and other machine learning (ML) services. It utilizes retrieval-augmented generation (RAG) technology. Smart Search is built using machine learning and semantic search for contextual accuracy and security.
