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Metadata are the keys for unlocking content value

Coactive provides the robust, nuanced, and detailed metadata you need, fast.

Automatically tag content across video, image, and audio assets.

Structure and enrich content libraries to power personalization and recommendations, and to improve content discoverability for end users.

Smarter tags using multimodal signals

Generate precise, context-aware tags from both visual and signals.

Accelerate and streamline tag creation

Speed up tag creation with LLM powered prompt suggestions, shot-level previews, and threshold tuning.

Easily validate tag accuracy

Auto-generate evaluation data (ground truth) with LLMs—no manual labeling needed.

Tag once, apply multiple times

Save time and reduce costs when you reuse your refined taxonomy across datasets. Get unlimited fine-tuning, with no per-run fees.

More signals = better tags

Get richer, more accurate tagging

Analyze both visual and dialogue signals

Quickly identify relevant segments

Uses include:

highlight reels
story arc creation
ad insertions
contextual advertisement
trust and safety (content moderation)
… and more!

Metadata tagging without tears - and without high processing costs

Coactive replaces time-consuming metadata workflows with dynamic, AI-powered tagging that adapts to your content and use case. Customers reduce tagging time from days to minutes—while improving consistency, precision, and downstream reuse.

Multimodal tagging

Automate labeling across visuals, audio, and dialogue—no manual stitching required.

Reusable taxonomies and tags

Reduce duplication across teams and projects.

Built-in evaluation tools

Validate accuracy instantly—no time-consuming QA passes needed.

Unlimited fine-tuning with no extra cost

Enable fast iteration using stored embeddings—with no retraining or per-run fees.

Create detailed and accurate tags, fast.

LLM-powered prompt suggestions

Get prompt design guidance from AI.

Intuitive Tag Preview page

Preview shot-level results directly in the UI.

Improved visual labeling workflow

Bulk review uncertain assets and guide tagging with uploaded labels.

Tag in subtle, sophisticated, and revenue-driving ways

Identify all of the streetlights? Easy! Identify nuanced concepts like “female empowerment” or “athleisure,” or proprietary items like your new “Phoenix 3000” product? Hard. But Coactive makes it easy and fast.

Identify conceptual content

You know “female empowerment” when you see it. But does your tagging solution know it? Just quickly define a concept for Coactive, and it can identify or find subtle, abstract, or complicated concepts.

Identify emerging celebrities or new objects

Overnight stars or new products probably weren’t in a foundation model’s training set, so they can’t find or tag what you’re looking for. But with Coactive, you can quickly tell Coactive what to look for, and it finds it. Without retraining or reprocessing cost.

Identify subtleties like “athleisure” - even in your own way

Do you define athleisure as yoga pants? Or do you define it as an unstructured blazer? Just define it in the way that makes sense to your business, and Coactive will classify or search for those items in the way you want it to, without expensive retraining or reprocessing.

Gain confidence with built-in Ground Truth evaluation

Automated Ground Truth generation

Auto-generate pseudo-ground truth with LLMs, removing the manual effort of building evaluation datasets.

Built-in performance validation

Track F1, precision, recall, and accuracy with interactive visualizations across thresholds.

Self-service quality control

Transform tag evaluation efforts from hours to minutes. Review ground truth at keyframe and shot-levels, 1-click inaccurate item removal, and adjust precision-recall with interactive controls.

The Smart, Layered Approach to Content Intelligence

Architecture
Modular architecture enables selective model execution, embedding reuse, and path optimization
Closed system lacks extensibility, modularity, and flexibility
Vendor
Flexibility
No lock-in — swap, upgrade, or bring your own foundation model
Locked-in with no portability, no choice
Model Updates
Skip 2/3rds of reprocessing steps, saving time and processing cost
Must reprocess all data from the beginning with each update
Performance & Cost Efficiency
High throughput ingestion. Reuse embeddings, no duplicate ingestion or compute = Lower TCO
Higher TCO from mandatory end-to-end foundation model inference, even for low-complexity tasks
Media Use 
Case Fit
Built for content supply chains, ads, trust
Not tailored for enterprise media and advertising needs
Time to Value
Time to Value
Slower onboarding, high customization needs
Future-Proof
Choice of models and upgrade-ready
Bound to vendor’s foundation model evolution
Approach
Foundation Model Only