AI that sees, remembers and acts
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AI HardwareAI-Powered Video Analysis That Remembers Everything
Count all the fight scenes and describe them.
What are Dr. Ford's classic lines in Westworld?
Which architectural styles appear in Westworld?
Count all the fight scenes and describe them.
Introducing Memories.ai
Memories.ai is building the fundamental visual memory layer for AI.
Partners and Customers
Trusted by innovative teams and industry leaders worldwide.
For Enterprises
From security to sports — customize our AI to your enterprise use case.
Real-Time Threat Detection
Instantly identifies and describes suspicious behavior, sending live alerts to your device.
Human Re-Identification
Track and match individuals across cameras, even if their appearance changes.
Slip and Fall Detection
Automatically detects falls and provides instant video evidence to enable rapid response.
Personnel Tracker
Visually identifies tasks like cleaning and restocking to help teams understand flow and highlight great work.
Intelligent Search
Rapidly locates past security incidents by searching video archives using natural language.
Customer Monitor
Monitors customer service interactions to optimize wait times and reduce walk-outs.
Why Choose Memories.ai?
We outperform Gemini and ChatGPT by huge margins, and with unlimited video context.
*Comparative data, including that from OpenAI and Google model systems, is sourced from the respective release blogs of OpenAI and Google.
Latest Updates
Explore stories, research and product updates from our team.
Memories.ai Research
Where innovation meets memory intelligence.
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
Large Language Models (LLMs) are rapidly evolving into powerful multimodal systems (VLMs), but when you switch from a single image to a long, high-frame-rate video, the computational cost explodes. MARC introduces memory-augmented RL token compression for efficient video understanding.
Publication
2025-10-09
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
User-generated content (UGC) videos—like TikToks—combine fast-paced visuals, music, and speech, requiring deep multimodal understanding. We introduce UGC-VideoCap—a new benchmark for detailed audio-visual captioning—and UGC-VideoCaptioner-3B, a compact model distilled from Gemini-2.5 Flash.
Publication
2025-10-05
Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Media
Editing long-form, story-driven videos is one of the most cognitively demanding creative tasks. This paper presents an agentic video editing system that autonomously understands and reconstructs narrative media via natural-language prompts.
Publication
2025-09-28
