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    Coactive AI Context Studio

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    Sold by: Coactive AI 
    Deployed on AWS
    Context Studio by Coactive AI transforms video libraries into high value contextual advertising engines. Powered by multimodal AI, including Amazon Nova running on Bedrock, Context Studio automatically generates moment, scene, and video level signals and joins them with ad breaks & inventory to build trafficable ad packages. Publishers activate premium contextual inventory without manual tagging. Advertisers achieve precision targeting without cookies or personal identifiers. Built for streaming, CTV, and digital video, Context Studio is the context layer the industry has been waiting for, making every pause ad, overlay ad, and ad break more relevant and performant.
    4.3

    Overview

    Context Studio by Coactive AI is an enterprise contextual intelligence platform that converts unstructured image and video content into structured, programmable signals automatically, accurately, and at scale.

    As the advertising industry continues to struggle with loss of audience signal, publishers and advertisers need a new kind of infrastructure: one that understands what is actually happening at every moment in a video, not just what metadata says about it. Context Studio delivers that infrastructure, purpose built for the media and advertising ecosystem.

    HOW IT WORKS Context Studio ingests video content from your existing AWS environment and applies Coactive's multimodal AI models to analyze every shot, scene, and video. Within minutes, your library is enriched with: Shot-level contextual signals (setting, mood, activity, objects, people, brand presence, etc). Creative performance attributes correlated with advertiser lift and engagement. Brand safety classifications aligned to GARM and IAB standards. Semantic tags ready for activation across DSPs, SSPs, and publisher ad servers.

    These signals flow directly into your ad decisioning stack via structured outputs compatible with FreeWheel and GAM.

    NATIVE AWS INTEGRATION Context Studio is built on AWS and integrates natively with the services your team already runs: Amazon Nova: Dynamic contextual tags generated via Amazon Nova power real time contextual decisioning, enabling sub second signal availability at serving time. Amazon S3: Ingest and analyze video assets directly from your existing S3 based media workflows with no data movement required.

    This makes Context Studio one of the only contextual intelligence solutions purpose built around AWS media infrastructure, reducing integration time from months to days.

    PROVEN AT SCALE Coactive's contextual AI has been validated at enterprise scale across major media companies: Contextual advertising for NBCU, driving 7X web traffic and 56% search lift for a well-known luxury brand based on more relevant ad placements in the Peacock VOD87 creative attributes scored across 10,455+ ad videos for a top 5 broadcast and streaming network. Brand suitability for Fandom: scoring 95% of UGC content in real time based on nuanced brand and community guidelines. Performance ad-engine for a leading broadcaster and streaming network, scoring 87 custom creative attributes across 10,455+ ad videos to drive content recommendations.

    PUBLISHER USE CASES Premium contextual packaging: Curate high CPM contextual segments that are industry aligned (IAB) and advertiser defined (female empowerment, happy multi generational families, joyful soccer celebrations) from your catalog without manual tagging workflows. Brand safety compliance: Deliver pre certified, GARM aligned brand safety scores to every advertiser at scale.

    ADVERTISER AND AGENCY USE CASES AI powered content signaling: Reach contextually relevant audiences across streaming and CTV without identity or behavioral data. Creative performance optimization: Match ad creative to content context for measurable lift. Brand safety pre bid controls: Integrate content level safety signals upstream of the bid request.

    WHO IT'S FOR Context Studio is designed for: Broadcast networks, streaming platforms, and digital publishers seeking to monetize content context at scale. Ad tech platforms and SSPs looking to enrich inventory with contextual signals. Advertisers and agencies looking for relevant campaign placements strategies across CTV and digital video. AWS media customers seeking a certified contextual intelligence layer within their existing infrastructure.

    Context Studio is available via AWS Marketplace. Coactive's solutions team supports onboarding, integration, and ongoing optimization.

    Highlights

    • Shot and scene level contextual intelligence at scale. Context Studio analyzes every moment in video libraries using multimodal AI, building intent based multi dimensional taxonomies and industry standard (IAB) without manual tagging. Publishers activate premium inventory in minutes; advertisers reach audiences with precision targeting that doesn't depend on cookies or personal data.
    • Natively built on AWS media infrastructure. Context Studio integrates directly with Amazon Nova for dynamic contextual tag generation and Amazon S3 for read only video access. Go from contract to live signals in days and weeks, not months.
    • Because Context Studio leverages Coactive AI, one scan of your content catalog unlocks multiple use cases: brand safety scores, contextual targeting signals, creative performance attributes, and semantic search. Publishers eliminate redundant tagging workflows across teams. Advertisers unlock creative intelligence and media planning activate multiple buying strategies from a single, trusted signal set. One integration. Unlimited applications.

    Details

    Delivery method

    Deployed on AWS
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    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Coactive AI Context Studio

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Context Studio
    Enterprise contextual intelligence platform for streaming, CTV, and digital video.
    $1,000,000.00

    AI Insights

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    Dimensions summary

    This listing has one pricing dimension, Context Studio (Units), sold under a contract model. You buy a quantity of units rather than picking from tiers or instance sizes. The platform supports contextual intelligence for streaming, connected TV, and digital video. It indexes your content at the moment, scene, and video level to build activation-ready contextual packages. Because pricing rests on units, your cost scales with the volume you commit to under the contract term. Contact the vendor to size the unit quantity that fits your content library and campaign needs.

    Top-of-mind questions for buyers

    The marketplace listing sells Context Studio in units under a contract, but it does not spell out exactly what one unit maps to, such as video hours ingested, tags generated, or packages produced. Contact the vendor to confirm how a unit is defined and counted for your content volume.
    The platform stores reusable embeddings after indexing your content once. You can fine-tune repeatedly using those stored embeddings without forced reprocessing or per-run pricing. This means refining tags or running new use cases draws on the same initial indexing rather than triggering duplicate ingestion charges.
    Context Studio indexes your back catalog and keeps pace with new content through deep-library analysis and near real-time tagging. Because pricing rests on committed units, your cost tracks the volume you commit to under the contract, not automatic per-title charges. Contact the vendor to size units for a growing library.
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    Vendor refund policy

    All fees are non-refundable and non-cancellable except as required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    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

    Coactive AI provides enterprise grade support for all Context Studio customers.

    ONBOARDING: Every customer receives a designated solutions engineer for integration, configuration, and go-live support. Standard onboarding SLA is 30 days from contract execution to first signals in production.

    DOCUMENTATION: Full product documentation and API references are available at docs.coactive.ai.

    PROFESSIONAL SERVICES: Custom taxonomy development and advanced integration support are available as add on services. Contact your account team for details.

    CONTACT: Sales: sales@coactive.ai  Website: coactive.ai

    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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    Customer reviews

    Ratings and reviews

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    4.3
    16 ratings
    5 star
    4 star
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    1 star
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    31%
    13%
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    0 AWS reviews
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    16 external reviews
    External reviews are from G2 .
    Imrul K.

    Coactive Simplifies Visual Data but Needs More Flexibility

    Reviewed on Jul 11, 2025
    Review provided by G2
    What do you like best about the product?
    Coactive’s AI-powered platform excels at making unstructured image and video data actionable. Its natural language search and automated tagging features are intuitive, allowing me to quickly navigate and classify large content libraries without manual effort. The platform’s user-friendly interface is a standout, making it accessible for both technical and non-technical team members, which is great for collaborative workflows.
    What do you dislike about the product?
    Coactive’s customization options are limited, which can be frustrating when I need tailored solutions for specific industry use cases. The platform’s scalability, while strong, sometimes feels constrained for highly specialized workflows. Additionally, the lack of detailed user reviews makes it hard to gauge real-world performance across diverse scenarios, leaving me uncertain about its reliability for niche applications.
    What problems is the product solving and how is that benefiting you?
    Coactive tackles managing unstructured visual data, slow insights, scalability issues, and inefficient content personalization with AI-driven tagging, semantic search, cloud integration (AWS, GCP, Azure), and pattern analysis.
    Benefits: It saves me time, scales effortlessly, and delivers fast insights for better decisions and personalized content, though customization could improve.
    Eliyev E.

    Saves hours of doing manual sorting

    Reviewed on Jul 31, 2024
    Review provided by G2
    What do you like best about the product?
    I found that Coactive can extract quite impressive details from images and videos. It reduces hours of work when I can simply search for particular objects in the large datasets. For instance, the identification of the customers’ activity in marketing videos became easy to analyze.
    What do you dislike about the product?
    Coactive is not good at creating insight and exporting is painful according to the application. It only provides simple export options such as static report. This limits the data analysis that performed in the documentation further in my usual preferred charts and tables.
    What problems is the product solving and how is that benefiting you?
    Coactive deals with the difficulty of making sense out of the image and video data which are in most cases, unstructured. This was used to be a very tedious job which had to be done manually.
    Ahmed E.

    Good for dissecting the marketing video

    Reviewed on Jul 25, 2024
    Review provided by G2
    What do you like best about the product?
    I can preferably pinpoint details such as competitor products or the placement of our brand logos in a huge database of video contents. This also enables me to produce reports on trends and brand visibility at a faster rate.
    What do you dislike about the product?
    I have not been in a position to harness the benefits of using it in data analysis mainly the text data forming part of customer reviews, comments, and posts among others.
    What problems is the product solving and how is that benefiting you?
    Coactive assist me in deciphering customer interaction with video ads, enable me to monitor brand references in the competitors’ content, and to evaluate the efficiency of our video marketing initiatives.
    Prashant G.

    Streamlining Data Analysis

    Reviewed on Jul 12, 2024
    Review provided by G2
    What do you like best about the product?
    It quickly turns messy image and video data into useful information. It makes machine learning easy for businesses.
    What do you dislike about the product?
    It may be expensive for small businesses.
    What problems is the product solving and how is that benefiting you?
    It organizes messy image and video data, making it useful. This helps businesses get insights fast and use machine learning easily.
    Isran J.

    Objects recognition and movement analysis

    Reviewed on Jul 12, 2024
    Review provided by G2
    What do you like best about the product?
    I have found it beneficial to gain insights from the videos in conducting my market research. We can now observe how customers behave in real life, finding patterns that could not be identified through questionnaires.
    What do you dislike about the product?
    I have faced challenges when attempting to upload specific file formats that some of our research collaborators use. This means that before analyzing, one has to convert files, which is an extra step in the entire process.
    What problems is the product solving and how is that benefiting you?
    Coactive has indeed brought a change in the way we analyse videos. It opens up opportunities in analyzing text that was hitherto buried in piles of unanalyzed and unmanageable big data.
    View all reviews