iMerit Launches New Self Serve API Tool, Allowing For a More Seamless Integration of Their AI Data Solutions

iMerit Self Serve API aims to provide software engineers with a faster, more secure way to integrate with iMerit’s services

iMerit, a leading AI data solutions company, announced the launch of its new customer-facing product, iMerit Self Serve API. The new offering represents the fastest way for engineers to integrate iMerit into their data pipelines. This is the first step the company is taking in order to automate and streamline data submissions to increase productivity amongst its core end-users.

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iMerit built this API product to offer customers a more secure, technology-based tool to share data, project information, project guidelines, and more with their dedicated iMerit project team. Customers will be able to use iMerit Self Serve API to prepare projects for annotation and build project configurations, which will facilitate deeper conversations with iMerit solution architects on the best ways to move forward with the overall annotation strategy. This allows for faster data sharing and faster scalability as customers validate their machine learning initiatives.

“The need for iMerit’s annotation services is rapidly growing and our customers want to move even faster with us,” said Sudeep George, Vice President of Engineering at iMerit. “The iMerit Self Serve API gives our customers the fastest and most direct way to integrate iMerit capabilities directly into their machine learning data pipelines.”

iMerit Self Serve API is organized around REST, an architectural pattern for creating web services. It has predictable resource-oriented URLs, accepts JSON-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs.

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