Coactive's Multimodal AI Platform is a purpose-built SaaS platform for content intelligence to search & understand image and video content at scale.
Ingest content once. Every downstream application draws from the same unified intelligence layer: contextual advertising, content moderation, unified search, content operations, and marketing personalization.
Twice on the Forbes AI 50, Coactive is trusted by major global media brands and is natively integrated with AWS.
Coactive Multimodal AI Platform is a purpose-built SaaS platform for content intelligence to search & understand image and video libraries at scale, transforming unstructured content into structured, programmable intelligence.
Media and entertainment companies sit on enormous libraries of visual content. The business value locked inside those libraries for advertising, search, moderation, operations, and personalization is largely inaccessible because traditional tools rely on manual tagging, restrictive keyword search, and siloed one-off workflows.
ONE PASS. INFINITE INTELLIGENCE.
Coactive core architectural advantage is single-pass indexing. Your content is ingested once, and every downstream application (ads, search, recommendations, moderation, etc) draws from the same unified intelligence layer without re-processing content.
Coactive programmable intelligence layer enables fine-tuning of custom classifiers, unlocking hundreds of applications and use cases from a single initial indexing pass.
THE PLATFORM ARCHITECTURE
Coactive MAP handles every layer of the multimodal AI infrastructure stack that your team would otherwise have to build and maintain:
Preprocessing: High-performance ingestion and indexing of video and image assets at scale, across any content type (news, sports, streaming, archive footage, advertisements, UGC). Read-only access to your content means no storage duplication.
Multimodal Model Orchestration: Coactive model layer selects and orchestrates the right foundation models for each task and manages model updates automatically- so you are always running the best available models without re-architecting your stack.
Optimized Storage with Reusable Embeddings: Vector embeddings, metadata, and model artifacts are stored with optimized indexing for sub-second query performance. P95 query response is under 500ms across libraries with 50M+ assets.
Capabilities and API Services: A production-grade API layer exposes fine-tuning and evaluation, intelligent search, metadata generation, and a natural language query engine capable of powering countless downstream applications and workflows.
CORE SOLUTIONS
Contextual Advertising: Generate shot-level contextual signals, brand safety scores, and creative performance attributes across your ad inventory and content catalog. Activate premium contextual packages without manual tagging workflows.
Content Operations and Workflow: Automate metadata creation, editorial tagging, and content cataloging across petabyte-scale libraries. Natural language queries let any team member search your archive the way they think about content.
Content Moderation and Brand Safety: Detect harmful, sensitive, or brand-unsafe content in seconds rather than hours. Custom taxonomies and optional human refinement bring organization-specific definitions of safety into the model layer.
Marketing and Personalization: Power recommendations, personalized content surfaces, and audience-specific creative selection using content-level signals that understand what is actually happening in your video- not just what metadata says.
PRODUCTION-READY ON AWS
Coactive is built on AWS and integrates natively with the services your team already runs including S3, Bedrock, Amazon Nova, and Media Lake.
PROVEN AT ENTERPRISE SCALE
Coactive is trusted by major global media and entertainment brands. The platform supports petabyte-scale libraries, generates over 1 billion tags per hour, and delivers query responses at P95 under 500ms with 50M+ assets.
DEPLOYMENT
Coactive MAP is available as a managed SaaS on AWS Marketplace.
Contact us at sales@coactive.ai to schedule a personalized demo or proof of concept.
Highlights
Search & Discovery (API): Find any image or moment in any video, instantly. Coactive's Search and Discovery API enables natural language, visual, and semantic search across petabyte-scale libraries, returning results at P95 under 500ms with 50M+ assets. No manual tagging required. Integrate directly into editorial workflows, content operations, recommendation engines, or audience tools. Build powerful content search experiences in days, not months.
Dynamic Tags (App): Dynamic Tags uses textual & visual prompting to generate intent-based metadata at scale across images & every moment of video. Multi-dimensional taxonomies let you define exactly what matters: mood, setting, activity, objects, brand presence, or any custom concept your business requires. Built for scale, generating over 1B tags per hour.
Context Studio (App) 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.
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.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract has two dimensions that work together. Plan - Tier 1 is your base subscription. It gives you the search and analytics platform for photos and videos, with access through the user interface and the API. Additional platform utilization is a usage add-on. You buy it in units on top of your base plan when your processing needs grow beyond what Tier 1 covers. Together, the base plan sets your entry point and the add-on lets your cost scale as you handle more content.
Top-of-mind questions for buyers
What does the platform actually process when I ingest content into Tier 1?
You index each piece of content once. The platform then processes it across visual composition, spoken dialogue, ambient audio, on-screen text, and shot structure in a single pass. That indexed content becomes searchable, queryable in SQL, and ready for tagging without reprocessing.
When do I need to buy Additional platform utilization units on top of Tier 1?
You add utilization units when your processing needs grow past what your base Tier 1 plan covers. The two dimensions bill together on one contract: Tier 1 sets your entry point, and each utilization unit scales your capacity for handling more content.
Does fine-tuning or reusing my tags add extra charges beyond my plan?
No per-run fees apply for fine-tuning. The platform stores reusable embeddings, so you fine-tune repeatedly without forced reprocessing. You can also reuse a refined taxonomy across datasets, which limits duplicate ingestion and compute against your utilization.
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All fees are non-refundable and non-cancellable except as required by law.
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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.
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.
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 & 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.
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.
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.
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.