iMerit Technology Service Pvt Ltd. (referred to as iMerit) officially launched the iMerit Scholars platform on October 26, 2026. The company, a provider of data annotation and AI training services, was acquired by ExlService Holdings Inc. in July 2026. The new platform is designed to help AI developers efficiently recruit and manage experts with domain-specific expertise for model evaluation, fine-tuning, and validation, particularly for applications in heavily regulated industries such as healthcare, finance, and insurance.
The platform currently connects over 30,000 vetted professionals across 118 countries and in 106 languages, covering fields such as medicine, mathematics, agriculture, and autonomous driving systems. iMerit plans to expand this global network to hundreds of thousands of users. Built on its proprietary Ango Hub data annotation and workflow automation system, the platform integrates with Trolley Technologies Inc. to enable payment processing and compliance support.
iMerit emphasizes that its approach differs from traditional data annotation services: experts are encouraged to actively “torment models,” identifying flaws that automated evaluation struggles to detect through questioning, stress testing, and attempts to break them. Expert qualifications are assessed using a three-tiered system—initial screening evaluates general AI capabilities and cognitive levels; secondary assessment focuses on domain expertise and human–machine collaboration skills; and the highest tier involves peer expert reviews.
iMerit not only provides matching services but also directly undertakes client projects, assuming responsibility for project management, quality assurance, and auditing. Experts are compensated on a per-task basis while maintaining a long-term presence within the Scholars community. The company offers various pricing models, including hourly billing, fixed‑price contracts based on deliverables, and performance‑based compensation tied to measurable outcomes—such as the accuracy of early‑stage crop disease detection. Furthermore, the platform can handle surges in demand; one client, for instance, urgently onboarded approximately 400 additional experts within just 3–4 days.