Zorroa’s no-code ML integration platform makes process automations with machine learning APIs from GCP, AWS, and Azure accessible in under an hour. Its platform enables media technologists to stand up rapid-cycle experiments and scale their ML projects without code, data prep, or vendor lock-in.
The Zorroa machine learning integration platform breaks down the ML adoption barrier for innovation teams looking to automate their operational workflows without dedicated resources and a high cost of entry. It provides a GUI-based, no-code workflow for users to transcode their media assets, run the analysis through a suite of computer vision APIs from GCP, AWS, and Azure at once, then index and evaluate the results with just a few clicks.
Zorroa’s no-code saas platform converts a process that is inherently costly, unpredictable, and long—as per course for data science—to one that is more like agile software development. Customers can quickly run ML experiments to validate their AI/ML use cases and automate manual tasks using pre-trained modules like label and logo detection, speech-to-text, OCR, and content moderation within a GUI-driven workflow. We compress a 12-month development cycle down to an hour—without code, data prep, or ML vendor onboarding.
