Marketing teams depend on accurate, high-granularity creative understanding to uncover what drives performance. But manually labeling thousands of ads across formats is slow, inconsistent, and impossible to scale. GetCrux solves this by automating creative classification with enterprise-grade accuracy, multimodal AI, and end-to-end workflow support.
Precision Labeling at Creative-Element Depth
GetCrux classifies every asset using a high-resolution model built to recognize granular attributes across theme, tone, sentiment, product type, and brand safety.
It detects nuanced elements that are easy for humans to miss - emotions, scenes, objects, on-screen text, CTAs, colors, layouts, and recurring brand motifs - while maintaining consistency across UGC, static ads, short-form video, and longer narratives.
Multimodal support spans image, video frame sequences, audio transcripts, OCR-driven text extraction, and embedded metadata.
Built for High Throughput at Enterprise Scale
The platform processes large volumes of assets in parallel, delivering fast turnarounds even with multi-million-asset libraries. Batch ingestion, high concurrency limits, and API-first infrastructure ensure that classification speed scales without degrading accuracy. Teams running hundreds of new creatives weekly rely on this foundation to maintain labeling fidelity at speed.
Flexible Taxonomies Tailored to Each Brand
Every organization brings its own creative system. GetCrux adapts by supporting fully custom taxonomies, hierarchical label structures, and brand- or industry-specific classification needs.
Teams can introduce new concepts, messaging angles, visual setups, emotional triggers, hook variants, and the platform learns them automatically, producing consistent labels across the entire creative library. This includes the ability to fine-tune models using brand-owned assets for tighter semantic control.
Multimodal AI Understanding Across Every Creative Format
GetCrux’s classification engine goes beyond surface-level tags. It includes:
- Image recognition: Objects, settings, facial expressions, visual styles
- Video analysis: Frame-level scenes, actions, transitions, brand moments
- OCR: Extraction of headlines, overlays, disclaimers, and CTA text
- Audio transcription: Spoken scripts, tone, pacing, sentiment
- Metadata detection: Color palettes, layout patterns, structural elements
This gives teams a unified, structured representation of their entire creative library: something previously achievable only through extensive manual labor.
Integrates Directly Into Existing Creative and Analytics Pipelines
The platform is API-driven and supports integrations with DAMs, CDPs, MMPs, BI tools, cloud storage, attribution systems, and ad platforms.
Teams embed classification into their workflows without redesigning processes, ingesting assets automatically, updating downstream datasets, or triggering event-based automation through webhooks.
Governance, Privacy, and Enterprise-Ready Controls
Classification happens under strict data controls.
GetCrux supports SOC2-grade security, encrypted storage, clear retention policies, and deletion guarantees. Sensitive assets are handled in compliant environments across regions as required.
For teams that need human validation, the platform includes optional review and override interfaces, quality-audit capabilities, and feedback loops that strengthen models over time.
Human-in-the-Loop When Needed
While classification is fully automated, teams can adjust or correct outputs through simple review tools. These inputs help refine future predictions and maintain alignment with evolving brand standards.
Predictable, Scalable Pricing
Pricing aligns to creative volume - not ad spend - so teams can operate classification pipelines without worrying about fluctuating costs. Custom-model training and high-volume workloads remain predictable.
Reporting, Insights, and Label-Performance Analysis
The platform turns raw labels into structured insights.
Teams can observe label distributions, trends across time, and correlations between creative attributes and performance metrics. Classification confidence scores and interpretable summaries make it easy to understand why assets were labeled the way they were.
All datasets export cleanly to CSV, JSON, or BI tools for advanced modeling.
Reliable Infrastructure and Dedicated Support
GetCrux is built for uptime, fast support, and clear documentation. Enterprise teams gain direct guidance from specialists who ensure taxonomy design, throughput configuration, and model behavior match their needs.
Whether a library contains hundreds of assets or millions, the platform maintains consistent, dependable labeling performance, validated across customers scaling to large monthly creative volumes.
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