Memories.ai
Memories.ai is an AI-powered video analysis and visual memory platform that builds a persistent Large Visual Memory Model to index, search, and extract insights from video for enterprise use cases such as security, sports, robotics, and media.
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Quick Overview
Best for: Video
What it does
Productivity software for decision-makers comparing workflow fit and alternatives.
Best fit
Video
Pricing snapshot
Free
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Memories.ai
Memories.ai is an AI-first video analysis and persistent visual memory platform that indexes, searches, and extracts insights from video content. The product offers a Large Visual Memory Model and AI features such as clip search, video transcription, and agentic video analysis to help enterprises unlock long-form and continuous video understanding. The platform highlights enterprise applications across security, sports analytics, robotics, media production, and video marketing, and emphasizes on-device research (Project LUCI) for real-time indexing with privacy and zero cloud latency.
AI that sees and remembers video content like ChatGPT does with text, allowing users to upload videos and interact with them via natural language queries and video creation.
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Claim this listingKey Features
Persistent Visual Memory (Large Visual Memory Model)
A visual memory layer that persistently indexes and recalls events from video, enabling long-term search and context across footage.
AI-Powered Video Analysis
Extract insights, generate transcripts, and perform multimodal understanding of video content (clip search, transcription, summarization).
Clip Search & Intelligent Search
Search past video archives using natural language to rapidly locate incidents or moments of interest.
On-Device Research (Project LUCI)
On-device visual AI initiative demonstrated with Windows ML and Qualcomm X2 Elite for real-time indexing with zero cloud latency and enhanced privacy.
Enterprise Detection & Tracking
Prebuilt enterprise capabilities such as real-time threat detection, human re-identification, slip and fall detection, and personnel/task tracking.
Integrations (e.g., Ring)
Integration with camera networks to bring persistent visual memory to large device fleets.
Pricing
Try Now for Free (no detailed pricing or limits provided on the page)
Use Cases
Security & Safety
Real-time threat detection, human re-identification, slip-and-fall detection, and incident search to support rapid response and investigations.
Sports Analytics
Analyze and count events (e.g., plays, fight scenes), identify tactics, and generate descriptive insights across game footage.
Robotics & Automation
Use continuous visual memory to enable robots to understand environments, track tasks, and improve automation workflows.
Media & Production
Search, transcribe, and summarize long-form and story-driven video to support editing, archival, and content production workflows.
Video Marketing & Customer Insights
Monitor customer interactions, optimize wait times, and extract marketing insights from recorded video.
Integrations
Ring
Integration bringing the Large Visual Memory Model to Ring devices and large camera fleets.
Windows ML & Qualcomm X2 Elite
On-device ML stack used in Project LUCI to enable real-time, privacy-preserving visual indexing.
Qualcomm (partner)
Listed partner used in on-device demonstrations and hardware collaborations.
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Visit the site and select 'Try Now' to begin a free trial or evaluation.
- 2 Step 2: Review the API Docs and API Platform resources to integrate Memories.ai into workflows.
- 3 Step 3: Contact Sales for enterprise customization or to discuss large-scale deployments and integrations.
Support
docs
API Documentation and API Platform links available on the site ('API Docs', 'API Platform').
contact sales
Contact Sales link for enterprise inquiries and customization.
blog
Blog and Research pages for product updates, publications, and announcements.
research
Research publications and fellowship announcements available on the site.
API
API Documentation available via the site's 'API Docs' / 'API Platform' links.
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