The Pulse
iMerit Launches Platform to Manage AI Domain Experts
iMerit announced a platform to recruit, match, manage and pay specialists who help train and evaluate AI models. The launch adds workforce-management tools to an existing Scholars community of more than 30,000 professionals.
AI.info Team · Written with AI · fact-checked ·
iMerit puts a platform around its expert network
iMerit announced its Scholars platform on October 26, 2026, giving AI developers a system to recruit, match, manage and pay specialists who help train and assess generative AI models. The company says the platform is designed to manage hundreds of thousands of experts; its existing Scholars community numbers more than 30,000 vetted professionals. Those specialists span 118 countries and 106 languages, with experience in fields including medicine, mathematics, agriculture, linguistics and autonomous systems.
The launch marks iMerit’s first major product announcement since EXL completed its acquisition of the company on August 3, 2026, according to EXL’s announcement. It adds workforce management to a Scholars program that iMerit made widely available in July 2025. The new platform is therefore a new operating layer for an existing expert network, not the start of the program itself.
Matching people to model work
iMerit says the platform matches specialists to projects by domain knowledge and cognitive skills. Its stated capabilities also include secure workflows for sensitive data, global payment and workforce services through Trolley, and tools for training, evaluation and feedback. The system runs on iMerit’s Ango Hub, which the company describes as a workspace for customers and experts collaborating on multimodal data and producing training material for high-stakes models.
The work can include reinforcement learning from human feedback, red-teaming, question-and-answer prompting, chain-of-thought tracing and model evaluation. These assignments ask specialists to examine outputs, challenge them and help correct errors, rather than simply label examples. The announcement does not give pricing or detail how experts are selected for individual projects.
“Prove them wrong and correct them”
“We need people who are knowledgeable enough not just to teach models, but to prove them wrong and correct them,”
Radha Basu, executive vice president and head of iMerit at EXL, said.
The company says that human judgment is intended to support work in areas such as healthcare, finance and physical AI, where specialist knowledge can shape how models perform in particular settings.
The announcement also describes the Scholars platform as a way to move experts from fragmented assignments toward a more continuous relationship with the company. Pavel Kopach, M.D., of the Department of Pathology at Beth Israel Deaconess Medical Center and an iMerit Scholar in Healthcare AI, said: “You’re not just labeling data, you’re helping shape how these systems reason and behave.”
A 2025 program gets new infrastructure
When iMerit announced wide availability of Scholars in 2025, it described a curated network of specialists working on model tuning and said its Deep Reasoning Lab connected automated pipelines with human evaluation. The October launch focuses on organizing that workforce: finding experts, assigning work, supporting secure collaboration and processing payments. EXL’s ownership places the offer within a company whose stated focus includes regulated sectors such as banking, healthcare and insurance.
The company’s release presents the platform as infrastructure for expanding expert-led AI work, but it does not disclose customer names, paid-user counts or independent performance results. For now, the clearest scale markers are the figures iMerit gives for its current community: more than 30,000 professionals, 118 countries and 106 languages.