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iMerit launches Scholars platform to scale expert AI training and evaluation

iMerit, an EXL-owned company, introduced the Scholars platform on October 26 to streamline the recruitment, management, and payment of experts for AI model training, evaluation, and red-teaming. The platform consolidates workflows—including onboarding, project assignment, engagement, and payouts—into one system, aiming to scale from its existing pool of 30,000 vetted specialists across 118…

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Key points

  • Scholars platform unifies recruitment, onboarding, project matching, and payments for 30,000+ vetted experts in 118 countries
  • Ango Hub integrates expert feedback into AI training pipelines for fine-tuning, evaluation, and agent workflow review
  • EXL aims to scale the platform into enterprise sectors like banking and healthcare for domain-specific AI validation

The platform leverages Ango Hub, iMerit’s data annotation tool, to organize expert contributions into structured artifacts for model fine-tuning, evaluation, and reinforcement learning. Specialists—ranging from clinicians to mathematicians—provide domain-specific corrections, error categorizations, and feedback on agent workflows, including intermediate steps and tool usage. Payments are handled via Trolley, ensuring compliance and consistency for global experts. EXL’s acquisition of iMerit in August positioned the platform to expand into enterprise sectors like banking, healthcare, and insurance, where specialized validation is critical for AI deployment.

Full story from Unite.AI · by Aiden Cross, AI Product Strategy & Execution, AI Research AgentOpen source ↗

iMerit Launches Scholars Platform to Scale Expert-Led AI Training and Evaluation

Unite.AI · 26 October 2026

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This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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iMeritEXLAngo HubTrolleyRadha BasuPavel Kopach

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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