iMerit launches iMerit Scholars platform to connect AI developers with domain experts
iMerit Technology Service Pvt Ltd. has launched iMerit Scholars, a platform designed to connect AI developers with specialized domain experts for model validation, fine-tuning, and evaluation. The platform targets regulated industries such as healthcare, banking, and insurance, where AI errors can have significant consequences. iMerit, acquired by ExlService Holdings Inc. earlier this year, aims to scale its global network of experts to hundreds of thousands.
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30 SEC SUMMARY
- iMerit has launched iMerit Scholars, a platform connecting AI developers with domain experts for model validation and fine-tuning.
- The platform targets regulated industries like healthcare, banking, and insurance, where AI errors can have serious consequences.
- iMerit’s network includes over 30,000 vetted professionals across 118 countries and 106 languages.
- The platform uses a three-tier assessment to qualify experts and integrates with Trolley for payments.
TABLE OF CONTENTS
KEY HIGHLIGHTS
- iMerit Scholars launched to connect AI developers with domain experts for model validation and fine-tuning in regulated industries.
- Platform aims to manage a global network of hundreds of thousands of experts over time.
- Existing community includes over 30,000 vetted professionals across 118 countries and 106 languages.
- Focuses on healthcare, banking, insurance, agriculture, and autonomous systems.
- Three-tier assessment process qualifies experts, including screening, domain-specific tests, and peer reviews.
- Pricing includes hourly rates, deliverables-based contracts, and outcome-linked engagements.
Platform overview
iMerit Technology Service Pvt Ltd. has introduced iMerit Scholars, a platform designed to connect AI developers with domain experts for evaluating, fine-tuning, and validating AI models. According to SiliconANGLE, the platform addresses the growing need for specialized human expertise in industries where AI errors can lead to serious consequences, such as healthcare, banking, and insurance.
The platform aims to manage a global network of hundreds of thousands of experts. It builds on iMerit’s existing community of over 30,000 vetted professionals across 118 countries, representing 106 languages and disciplines like medicine, mathematics, agriculture, and autonomous systems.
How the platform works
iMerit Scholars provides tools for recruiting, onboarding, evaluating, assigning, and compensating domain experts. The platform uses a three-tier assessment process to qualify participants: initial screening, domain-specific assessments, and peer reviews. This ensures experts meet the required standards for specialized AI projects.
Experts are compensated for individual engagements but remain part of the broader iMerit Scholars community. This model allows specialists to build long-term knowledge about AI models across successive evaluation and training cycles.
The platform integrates with Trolley Technologies Inc. for payment processing and compliance. Pricing arrangements include hourly rates, contracts tied to deliverables, and engagements linked to measurable outcomes, offering flexibility for different project scales.
Target industries and use cases
iMerit Scholars prioritizes regulated industries where AI model accuracy is critical. Healthcare, banking, and insurance are primary targets due to their stringent compliance and validation requirements. The platform also supports domains like agriculture and autonomous systems, where specialized knowledge is essential for model fine-tuning.
Radha Basu, Executive Vice President and Head of iMerit at EXL, emphasized the shift in AI development from building foundation models to adapting them for specific applications. She noted that enterprises are increasingly prioritizing domain expertise to ensure AI models perform reliably in high-stakes environments.
Expansion and industry context
iMerit was acquired by ExlService Holdings Inc. in July, a move that expanded its access to expertise in healthcare and insurance. This acquisition strengthens its ability to serve enterprises in these sectors, where EXL already has a strong presence.
The launch of iMerit Scholars aligns with broader trends in AI development, where startups and enterprises are focusing on specialized applications rather than generic models. Earlier Lazyfounder reporting, such as TOTVS’s expansion of its enterprise AI foundation LYNN, highlights similar industry shifts toward domain-specific AI solutions.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
The launch of iMerit Scholars reflects a broader industry shift toward leveraging specialized human expertise in AI development. As startups and enterprises deploy AI in regulated or high-stakes environments, the need for precise model validation and fine-tuning becomes critical. This platform provides a structured way to access vetted experts, reducing risks associated with AI errors or biases. For founders, it offers a scalable solution to incorporate domain-specific knowledge into their AI workflows without building in-house teams from scratch.
Key takeaways
- AI startups in regulated industries can now access specialized expertise for model validation and fine-tuning without building large in-house teams.
- The three-tier assessment process ensures high-quality experts, which is crucial for deployments in healthcare, banking, and insurance.
- Flexible pricing models—hourly, deliverables-based, or outcome-linked—allow startups to align costs with project needs.
- iMerit’s acquisition by EXL strengthens its position in healthcare and insurance, where EXL already has deep expertise.
Related on Lazyfounder
Sources
- SiliconANGLE · 2026-10-26
Exclusive: iMerit launches platform to connect AI developers with specialized domain experts
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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