Table of Contents
Video Marketer by Memories.ai: Perplexity for Videos
1. Executive Snapshot
Core offering overview
Video Marketer by Memories.ai represents a revolutionary approach to social video intelligence, functioning as “Perplexity for videos” through its groundbreaking Large Visual Memory Model. Built by former Meta Reality Labs researchers Dr. Shawn Shen and Ben Zhou, this platform transforms how brands, marketers, and creators unlock insights from social video content across TikTok, Instagram, and YouTube. Unlike traditional video analytics tools that rely on metadata and captions, Video Marketer analyzes actual visual content to provide authentic, in-depth understanding of video performance and trends.
Key achievements \& milestones
Since emerging from stealth in July 2025, Memories.ai has secured \$8 million in seed funding led by Susa Ventures, with participation from Samsung Next, Crane Venture Partners, Fusion Fund, Seedcamp, and Creator Ventures. The company has processed over 10 million hours of video content and indexed more than 1 million TikTok videos for its Large Visual Memory Model. The platform has achieved state-of-the-art performance with a 64.5% score on MVBench, significantly outperforming existing models from Google and OpenAI. The appointment of Chi-Hao Wu, former Meta executive, as Chief AI Officer further strengthens the technical leadership team.
Adoption statistics
The platform serves tens of thousands of users across marketing, security, and media industries. Early adoption metrics show strong engagement from enterprise clients seeking to analyze large-scale video campaigns and social media content. The Video Marketer API has been integrated by marketing teams at major brands looking to understand viral content patterns and influencer performance beyond traditional metrics like view counts and engagement rates.
2. Impact \& Evidence
Client success stories
Marketing teams using Video Marketer report dramatically reduced time-to-insight for campaign analysis, with the ability to query millions of social media videos using natural language instead of manually reviewing content. Security firms leverage the technology to detect anomalies across surveillance footage spanning months of data. Media companies have streamlined content discovery processes, locating specific scenes across decades of archived footage within seconds rather than hours of manual searching.
Performance metrics \& benchmarks
Memories.ai’s Large Visual Memory Model demonstrates superior performance in video understanding benchmarks, achieving 64.5% accuracy on MVBench compared to lower scores from competing models. The platform processes video content with ultra-low hallucination rates and maintains virtually unlimited context windows for video analysis, far exceeding the 1-2 hour limitations of traditional video AI models from major technology companies.
Third-party validations
Samsung Next’s investment validates the platform’s on-device computing capabilities and privacy-focused approach. Industry recognition includes coverage from major technology publications like TechCrunch, with investor endorsements highlighting the technical depth and market potential. Venture partners describe the founding team as highly technical with deep expertise in pushing boundaries of video understanding and intelligence.
3. Technical Blueprint
System architecture overview
The platform operates through a sophisticated three-tiered architecture encompassing video processing, memory storage, and retrieval systems. The technology stack removes noise from videos, compresses essential data, and creates searchable indexing layers. Visual information is converted into structured data and stored in a memory infrastructure layer that enables rapid response to queries without repeatedly accessing original data sources. The system includes aggregation capabilities for summarizing data and generating comprehensive reports across multiple video sources.
API \& SDK integrations
Video Marketer provides both streaming and non-streaming API endpoints through the /serve/api/v1/marketer_chat interface, enabling developers to integrate conversational video intelligence into existing applications. The platform supports natural language queries against indexed video datasets with session management capabilities. Integration options include REST APIs for custom implementations and web-based chat interfaces for immediate access to video insights.
Scalability \& reliability data
Built on cloud-native architecture, the platform demonstrates robust scalability supporting analysis of up to 10 million hours of video content. The system maintains high availability through distributed processing capabilities and automated data backup protocols. Performance optimization includes compressed indexing for improved retrieval efficiency and reduced latency in query processing.
4. Trust \& Governance
Security certifications
While specific certifications like ISO 27001 or SOC2 were not explicitly documented, the platform implements industry-standard security measures including data encryption and secure authentication procedures. Samsung Next’s investment specifically highlighted the platform’s capability for on-device computing, reducing cloud storage requirements and addressing privacy concerns for sensitive video content.
Data privacy measures
The architecture supports on-device processing capabilities, enabling organizations to analyze video content without storing data in centralized cloud systems. This approach addresses privacy apprehensions particularly relevant for security camera implementations and sensitive corporate video content. User data protection follows standard practices with secure authentication and encrypted data transmission.
Regulatory compliance details
The platform adheres to applicable data protection regulations and maintains compliance frameworks suitable for enterprise deployment. Privacy-focused design principles align with regulatory requirements across different jurisdictions, particularly important given the global nature of social media video analysis.
5. Unique Capabilities
Large Visual Memory Model: The world’s first implementation enables AI systems to maintain unlimited visual context across video timelines, fundamentally solving the memory limitation that constrains traditional video AI to short clips. This breakthrough allows continuous learning and pattern recognition across vast video archives.
Agentic QA System: Advanced conversational intelligence enables users to query video datasets using natural language, eliminating the need for manual video selection or complex search parameters. The system understands context and intent, providing precise answers from millions of indexed videos.
Cross-Platform Analytics: Unlike tools limited to single platforms, Video Marketer analyzes content across TikTok, Instagram, and YouTube simultaneously, providing comprehensive insights into multi-platform video strategies and cross-channel performance patterns.
Real-Time Trend Detection: The platform identifies emerging trends and viral content patterns as they develop, enabling marketers to capitalize on opportunities before competitors recognize them through traditional analytics approaches.
6. Adoption Pathways
Integration workflow
Implementation begins with API key generation and endpoint configuration for either streaming or batch processing modes. Organizations can upload existing video libraries or connect to live social media feeds for real-time analysis. The platform provides comprehensive documentation and code examples for rapid integration into existing marketing technology stacks.
Customization options
Flexible query parameters allow customization of analysis depth and focus areas. Organizations can configure specific brand monitoring, competitor analysis, or trend detection parameters. The system adapts to various industry requirements from security surveillance to marketing campaign optimization.
Onboarding \& support channels
New users receive 500 free credits for exploring core capabilities without requiring credit card information. Comprehensive API documentation, developer resources, and community support channels facilitate smooth adoption. Enterprise customers receive dedicated support for complex implementations and custom integration requirements.
7. Use Case Portfolio
Marketing and advertising
Brands utilize Video Marketer for comprehensive social media monitoring, analyzing competitor campaigns, and identifying viral content patterns. Marketing teams can query specific brand mentions, sentiment analysis, and performance metrics across millions of social videos without manual review processes.
Media and entertainment
Production companies leverage the platform for content discovery, archival search, and intellectual property monitoring. The technology enables instant location of specific scenes, characters, or visual elements across extensive content libraries, dramatically reducing research and licensing timelines.
Security and surveillance
Enterprise security teams deploy the system for anomaly detection, incident investigation, and pattern recognition across multiple camera feeds. The unlimited context capability allows correlation of events across extended timeframes, improving threat detection and response capabilities.
8. Balanced Analysis
Strengths with evidential support
The platform’s revolutionary Large Visual Memory Model addresses fundamental limitations in existing video AI systems, providing unlimited context capability that surpasses competitors by orders of magnitude. Strong technical leadership from former Meta Reality Labs researchers brings proven expertise in advanced AI development. Samsung Next’s strategic investment validates both technical capabilities and market potential, particularly for privacy-sensitive applications requiring on-device processing.
Limitations \& mitigation strategies
Current limitations include early-stage market presence and the need to establish broader enterprise adoption patterns. The platform competes against well-funded established players like TwelveLabs, which has raised \$77 million, and technology giants like Google. To address these challenges, the company focuses on technological differentiation through its horizontal approach compatible with multiple video models and emphasizes unique on-device processing capabilities that address privacy concerns other solutions cannot match.
9. Transparent Pricing
Plan tiers \& cost breakdown
Memories.ai offers a freemium model with three primary tiers. The Free plan provides 500 credits per month with access to agents and playground features at no cost. The Plus plan costs \$20 monthly and includes 5,000 credits with full feature access. Enterprise plans feature custom pricing with unlimited credits and advanced support options. The platform provides 500 free trial credits for new users without requiring credit card information.
Total Cost of Ownership projections
For marketing teams, the platform represents significant value compared to manual video analysis processes that require substantial human resources. Enterprise implementations benefit from scalable pricing that grows with usage while providing dramatic time savings in content analysis and trend identification. The API-first approach enables integration with existing tools, reducing implementation costs and training requirements.
10. Market Positioning
| Platform | Focus Area | Context Limit | Key Differentiator | Pricing Model |
|---|---|---|---|---|
| Video Marketer by Memories.ai | Social video intelligence | Unlimited | Large Visual Memory Model | \$20/month (Plus) |
| TwelveLabs | Video understanding | 60 minutes | Multimodal AI models | Custom enterprise |
| Google Video Intelligence API | Cloud video analysis | Limited clips | Enterprise integration | Pay-per-use |
| Tubular Labs | Social video analytics | Platform-specific | Cross-platform insights | Custom pricing |
| Vidyard | Sales \& marketing video | Session-based | CRM integration | \$15/month |
Unique differentiators
Video Marketer distinguishes itself through the world’s first Large Visual Memory Model, enabling unlimited visual context that far exceeds competitors’ capabilities. The platform’s focus on actual visual content analysis rather than metadata dependency provides more authentic insights into video performance. Samsung Next’s investment highlights unique on-device processing capabilities that address privacy concerns while maintaining analysis quality, a combination unavailable from cloud-dependent alternatives.
11. Leadership Profile
Founder expertise and vision
Dr. Shawn Shen brings exceptional credentials as a Cambridge PhD in Computer Science and former Meta Reality Labs research scientist. His academic background includes work on next-generation input techniques and interactive AI in mixed reality, with recognition including full scholarships and first-place college admissions ranking. Shen’s experience contributing to projects like Make-A-Video and Llama models at Meta provides deep understanding of large-scale AI development.
Technical leadership depth
Co-founder Ben Zhou contributed machine learning engineering expertise from Meta, specializing in scalable AI systems. The appointment of Chi-Hao Wu as Chief AI Officer adds 13+ years of applied machine learning experience and 7+ years in leadership roles at top technology companies. Wu brings expertise in generative AI, multimodal AI, computer vision, and LLMs with 30+ publications and 20+ global patents.
12. Community \& Endorsements
Investment validation
The \$8 million seed round led by Susa Ventures demonstrates strong investor confidence in the technology and market opportunity. Samsung Next’s participation specifically validates the platform’s privacy-focused capabilities and potential for consumer device integration. The funding exceeded initial targets, growing from \$4 million to \$8 million due to investor interest.
Industry recognition
Coverage from major technology publications including TechCrunch validates the platform’s innovation in video AI. Industry analysts recognize the significant market gap in long-context visual intelligence that Video Marketer addresses. The platform’s positioning as “Perplexity for videos” resonates with market understanding of the transformative potential for video intelligence.
13. Strategic Outlook
Technology roadmap
Future developments focus on expanding video model compatibility and enhancing search functionalities. The company plans significant team growth to support research and development initiatives. Advanced features under development include real-time analysis through synchronized drives and AI assistants for curating visual memories across various applications.
Market expansion potential
The video analytics market size reached \$12.71 billion in 2024 with projected growth to \$37.84 billion by 2030 at a 19.5% CAGR. Religious and educational technology adoption trends indicate growing acceptance of AI-powered content analysis tools. The platform’s horizontal approach positions it to capitalize on expanding AI adoption across multiple industries beyond initial marketing and security focus areas.
Final Thoughts
Video Marketer by Memories.ai represents a paradigm shift in video intelligence, addressing fundamental limitations that have constrained the industry for years. The breakthrough Large Visual Memory Model technology provides unprecedented capabilities for analyzing video content at scale, positioning the platform as a transformative force in marketing analytics, security surveillance, and media production.
The strong technical foundation built by former Meta researchers, combined with strategic investment validation from Samsung Next and leading venture firms, creates compelling evidence for the platform’s potential to capture significant market share in the rapidly growing video analytics industry. While competition exists from well-funded alternatives like TwelveLabs, Video Marketer’s unique focus on unlimited visual context and privacy-preserving on-device processing creates sustainable competitive advantages.
For organizations drowning in video content without effective analysis tools, Video Marketer offers an immediate solution to unlock actionable insights from their visual data assets. The platform’s API-first approach and flexible pricing model make it accessible to organizations of various sizes, while the unlimited context capability provides value that scales with data volume and complexity.
As video continues to dominate digital content creation and consumption, platforms that can effectively analyze and understand visual content will become increasingly valuable. Video Marketer’s pioneering approach to visual memory positions it at the forefront of this transformation, making it a compelling choice for forward-thinking organizations seeking to harness the full potential of their video data.