Aivo
Empathetic Conversational AI and Video Bots for Enterprise Customer Engagement
Turn long-form video content into semantic summaries and viral clips with multimodal AI intelligence.
AutoAbstractVideo represents the 2026 frontier of multimodal video understanding. Unlike traditional summarizers that rely solely on transcript analysis, AutoAbstractVideo utilizes a proprietary Unified Visual-Audio-Text (UVAT) architecture to decode visual cues, sentiment changes, and speaker dynamics simultaneously. This technical approach allows the system to identify not just what is being said, but the emotional weight and contextual significance of specific scenes. Positioned as a mission-critical tool for the 'Short-Form Era,' it bridges the gap between raw footage and distribution-ready assets. The platform automates the extraction of key insights, generating searchable abstracts, time-stamped chapters, and vertical social clips with AI-driven framing. For enterprises, its RAG (Retrieval-Augmented Generation) capabilities allow users to query their entire video library using natural language, effectively turning passive video archives into active, searchable knowledge bases. Its 2026 market position is defined by its ultra-low latency processing and its ability to integrate directly into headless CMS workflows via a robust, event-driven API.
Simultaneous processing of audio frequencies, visual pixel motion, and textual transcripts to identify high-energy moments.
Empathetic Conversational AI and Video Bots for Enterprise Customer Engagement
Turn Long-Form Videos into Viral Shorts with AI-Powered Retention Hooks
Turn long-form video into viral social shorts with context-aware AI intelligence.
Cinematic AI video enhancement and generative frame manipulation for professional creators.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
AI-driven face and object tracking that keeps the subject centered in 9:16 vertical video conversions.
Vector-based indexing of video content allowing users to search for concepts (e.g., 'where did we discuss Q3 revenue?').
Scans historical social media trends to assign a 'viral probability' to specific extracted clips.
Automatically suggests and overlays relevant stock footage during stagnant visual sections of a summary.
High-fidelity speaker identification and separate audio-track logic for clear interviews.
Neural-driven text placement that avoids covering faces or important visual elements.
Podcasters spend hours finding 60-second highlights from 2-hour episodes.
Registry Updated:2/7/2026
Auto-post to TikTok via API.
Large organizations lose information in recorded meetings that no one watches.
Students struggle to find specific lessons within long educational modules.