AI-Driven Creative Talent Sourcing

1. The Challenge

The client — a creative production company with a strong focus on sustainability and efficiency — faced growing operational challenges in sourcing local creative talent (primarily photographers) for projects across France.

Their goals included:

• Reducing reliance on third-party talent marketplaces
• Shortening time to identify visually matched creators
• Minimizing travel costs and environmental impact
• Maintaining high visual quality and style alignment in creative output

They needed a smarter, AI-first approach to visual talent sourcing.

2. The Solution

We built a custom AI-powered talent search engine, allowing internal teams to find photographers based on visual style and geographic proximity — all from a single photo input.

Key technologies and steps included:

• Image vectorization and semantic search using AWS SageMaker for embedding generation
• Pinecone vector database for fast similarity-based retrieval of visual content
• AI engine trained to detect stylistic elements and map them to photographer portfolios
• Interface that supports image and text queries, enabling both creative and producer-friendly usage
• Secure, internal platform deployment to protect creative assets and client privacy

This solution allowed teams to drop in a reference image and immediately surface photographers with matching styles and local presence.

3. The Result

The platform fundamentally changed how creative sourcing happens:

• Cut time-to-hire for creative talent by over 60%
• Enabled more sustainable operations through local-first sourcing
• Reduced spend on external talent platforms
• Opened future opportunities to integrate voice/image-based querying for further automation

Beyond productivity, the tool contributed to the company’s carbon reduction and ESG targets, while improving creative alignment across campaigns.

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