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Access the full power of Hugging Face models — sentiment analysis, classification, summarization, and Q&A — all wired into the RunAsh live streaming platform.
Detect positive or negative sentiment in real-time — perfect for live chat moderation.
Results will appear here…
Platform capabilities
Our AI analyzes video and audio in real-time to provide content moderation, enhancement suggestions, and transcription without adding stream latency.
AI Models
Production-ready AI architectures optimized for live-streaming intelligence at scale.
Real-time detection and classification of activities in live streams for moderation and analytics.
VisionAccurate multi-object detection and tracking within live and recorded video content.
VisionMulti-modal emotion analysis combining audio, visual, and textual cues.
MultimodalConvert spoken language to text in real time for captions, search, and moderation.
AudioGenerate natural multilingual audio from text inputs for creator experiences.
AudioLive speech and caption translation across 12+ languages.
LanguageAnalyze live streams and extract structured textual information in real time.
MultimodalGenerate product reveal clips from text — powered by our SVD-XT fine-tuned model.
GenerativeCreate short motion sequences from product images for dynamic content.
GenerativeVideo-text-to-text models combining context and prompts for grounded responses.
FlagshipSimple process
From data to deployed model — your AI pipeline in four steps.
Data Collection & Curation
Diverse streaming datasets — labeled video, audio, and text — curated for quality and representative coverage across content types.
Model Architecture Design
Custom architectures optimized for real-time inference: lightweight transformers, edge-ready models, and multi-modal fusion layers.
Training & Fine-tuning
Distributed GPU training using PyTorch and Hugging Face. Domain fine-tuning on live streaming data for production accuracy.
Production Deployment
ONNX export, Triton inference server, and edge deployment — serving models at <50ms latency to all RunAsh creators globally.
Publications
Peer-reviewed research from the RunAsh AI team, published on Hugging Face and Kaggle.
Try it live
Run real AI inference in your browser — powered by the Hugging Face Inference API, wired into RunAsh's streaming intelligence stack.
Detect positive or negative sentiment in real-time — perfect for live chat moderation.
Results will appear here…
The team
The minds behind RunAsh's AI technology.
Leads RunAsh's AI research team, focusing on real-time video analysis, content understanding, and streaming intelligence.
Deep learning expertise for streaming media optimization, bandwidth prediction, and video diffusion model development.
Multi-modal learning and emotion recognition systems for enhanced viewer engagement at scale.
Infrastructure
The cutting-edge technologies powering RunAsh's AI capabilities.
We're looking for research partners, academic collaborators, and industry experts to advance AI in live streaming technology.
No fees · Open collaboration · Global partnerships