Case Study: Dvlop achieves AI-powered, time-saving photo-editing suggestions with Hal9

Hal9 helps Dvlop provide professional photography edition suggestions

Dvlop, a California company that builds curated preset libraries and digital products for professional photographers, faced a time-consuming challenge: photographers had to browse hundreds of presets to find the right look. To automate high-quality, photo-specific editing suggestions, Dvlop partnered with Hal9 and used Hal9’s prototyping platform and engineering expertise to evaluate AI feasibility and train models on Dvlop’s curated datasets.

Hal9’s data scientists and engineers prototyped web apps, refined multiple AI models using Dvlop’s hand-curated presets, selected a proprietary production model, and deployed it on Hal9’s cloud infrastructure for seamless integration into Adobe Lightroom and Capture One. The Hal9-built solution delivers real-time, context-aware editing suggestions inside photographers’ workflows, saving thousands of hours, boosting efficiency, and strengthening Dvlop’s position in the photography market.

dvlop

Jeff N.

Founder