Case Study: Earth.com accelerates EarthSnap with Provectus Managed MLOps and AI

A Provectus Case Study

Preview of the Earth.com Case Study

EarthSnap, by Earth.com, drives business growth with its new AI image identification capabilities, enabled by MLOps & Managed AI

Earth.com, the premier destination for people concerned about the planet and environment, developed EarthSnap, an AI-powered nature identification app that lets users identify plant and animal species with a mobile phone camera. As EarthSnap grew, Earth.com needed to modernize and automate its ML infrastructure, speed up model delivery, and reduce administrative overhead. To address this, it brought in Provectus for Managed MLOps Platform and Managed AI services.

Provectus rebuilt the solution into fully automated, end-to-end ML pipelines and supported the broader MLOps platform with Managed AI Services, including infrastructure maintenance, monitoring, retraining, and troubleshooting. In just three months, Provectus helped Earth.com modernize EarthSnap’s ML stack, make model releases much easier, reduce engineering heavy lifting and administrative costs, and launch the app on both the App Store and Play Store ahead of schedule.


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