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    SPACE LENS: AI-Powered Video Intelligence & Auto-Analysis Solution

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    Deployed on AWS
    Born out of MegazoneCloud's collaboration with the AWS Generative AI Innovation Center (GenAIIC) Partner Agent Factory (PAF), SPACE LENS is a next-generation video intelligence solution that transforms your untapped video archives into high-value business assets. With SPACE LENS, you can bypass technical complexities: simply ask questions in natural language, and SPACE LENS automatically orchestrates the optimal analysis path to extract actionable insights and structured data. Eliminate the stress of model selection while drastically reducing time and costs, allowing you to maximize the true value of your video data.

    Overview

    SPACE LENS, AI-Driven Intelligence for Every Frame and Word

    Previously, traditional video analysis workflows required teams to manually review hours of footage and independently evaluate which AI engine best suited their analytical needs. SPACE LENS significantly reduces this complexity.

    SPACE LENS is an advanced video intelligence solution built to transform how organizations analyze and extract value from video content.

    Now, when a user simply enters a query, the AI autonomously determines the optimal analysis path, whether Visual-centric, Audio-centric, or Comprehensive, ensuring the most efficient results without manual intervention.

    Co-innovated by MegazoneCloud and the AWS GenAIIC Partner Agent Factory (PAF) Link  initiative, SPACE LENS is built on deep technical insights and a reusable asset (Recorded Voice Insight Extraction Webapp ) from GenAIIC, including foundational components of Amazon Bedrock, Amazon Bedrock AgentCore (Runtime, Memory, and Gateway), and the Strands Agents SDK (Agents, Steering, and Evaluation). Through the PAF initiative, the GenAIIC team provided immersive expert guidance to ensure successful business validation, the development of enterprise-ready AI agents, and a seamless path to production.

    Unlike conventional video analysis tools that invoke a single AI model or a fixed engine, SPACE LENS uses agentic orchestration to dynamically select the optimal combination of tools for each query. It delivers adaptive responses that span visual, audio, and combined context, enabling outcome-oriented experiences that continuously learn and improve.

    KEY DIFFERENTIATORS

    1. Intelligent Orchestration: "Get the best analysis results without being an AI expert."

      • Core Concept: Simply ask what you want to know, and the AI agent understands your intent to automatically match the best-suited analysis engine.
      • Use Case: You do not need to search for and integrate new AI models for every specific task. When a user asks to "Analyze the movement path of people in the video," SPACE LENS identifies and activates the optimal tools and LLM models for object tracking, eliminating the stress of manual model selection.
    2. Multi-Perspective Analysis: "Understand the essence of video by integrating sight, sound, and context."

      • Core Concept: Supports a multi-layered analysis framework including Visual-Centric, Audio-Centric, and Contextual (Comprehensive) analysis that combines both elements.
      • Use Case: In soccer match analysis, the system does not just track the ball's movement; it analyzes the commentator's voice and the crowd's roar simultaneously. This enables the precise creation of 'contextually meaningful highlights,' such as identifying a goal-scoring moment or a decisive foul, rather than just listing simple scenes.
    3. Data Assetization: "Turn idle video files into immediately actionable knowledge assets."

      • Core Concept: Transforms raw video files into searchable, reusable 'structured data assets.'
      • Use Case: For a 1-hour technical seminar video, SPACE LENS generates a digital index including start times for each topic, key keywords, and visual summaries. Users can instantly find the exact segment they need through text search without having to watch the entire recording.
    4. Independent Scalability: "Add the features you need instantly, without changing your existing environment."

      • Core Concept: Can be instantly integrated via API to expand analysis capabilities, regardless of whether an existing Digital Asset Management (DAM) system is in place.
      • Use Case: There is no need to replace your company's current groupware or video management platform. By simply connecting SPACE LENS's analysis functions via API, you can immediately add 'AI Auto-Summarization' or 'Intelligent Scene Search' buttons to your existing system, upgrading its performance overnight.

    KEY BENEFITS

    • Zero Upfront Cost: As a pay-as-you-go SaaS, there are no prepayments, licensing fees, or initial build-out costs.
    • Breaks Linear Headcount Growth: You no longer need to scale analysis and editing staff linearly as your asset library grows.
    • Expert-Level Quality: Analysis quality has been validated at a level comparable to professional experts through Proofs of Concept with multiple customers.
    • Instant Activation: From AWS Marketplace subscription, to API Key issuance, to integration, you can get started immediately without any separate contracts.

    Highlights

    • Instant AI Workflows for Non-Experts Stop wasting time studying or selecting complex AI models. By simply asking a question, SPACE LENS identifies and activates the best analysis engine, allowing you to leverage advanced video intelligence immediately without any technical barriers.
    • Automated Extraction of Hidden 'Meaning' and 'Context' Go beyond simple object recognition by analyzing visual and audio cues simultaneously. Even within a 1 hour video, SPACE LENS transcends basic summaries to automatically extract context-driven highlights and insights that are essential for your business decisions within just a few minutes.
    • Seamless Video Navigation via Natural Language Use plain, everyday language instead of technical jargon, simply request tasks like Find the scenes that may be harmful for children. This eliminates the manual labor of scrubbing through footage and transforms raw video into precise, shareable data assets instantly.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    SPACE LENS: AI-Powered Video Intelligence & Auto-Analysis Solution

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

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    Dimension
    Description
    Cost/unit
    Pay-as-you-go
    Per minute charge for video analysis platform usage
    $0.0735
    Pricing
    Usage-based pricing measured per minute of video. $0.0735 per minute.
    $0.0735

    Vendor refund policy

    As it is 'Pay-as-you-go' subscription type, there is no refund policy. Customers can unsubscribe at any time, however, will be billed for usage up to the time.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    • Support Email: media@mz.co.kr 
    • Product Website: help.cloudplex.megazone.io/hc/en-us (Navigate to General Media)

    SUPPORT CHANNELS

    • Web-Based Support Center: Customer support portal for ticket submission, status tracking, and access to knowledge resources
    • Developer Documentation: API reference and guides for authentication and API Key management
    • AWS Marketplace Support Channel: Subscription and billing inquiries are handled through the standard AWS Marketplace support process

    SERVICE LEVEL AGREEMENT

    • Availability Target: 99.5 percent or higher per month, based on AWS managed services
    • Initial Response Time: Within 1 business day for general inquiries, within 4 hours for urgent issues
    • Operating Hours: 09:00 to 18:00 KST on weekdays

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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