AI admissions automation for universities and higher-ed enrollment teams
EDMO sells AI automation to university admissions offices, and its stack shows how deep that goes: connectors into Slate, Ellucian, PeopleSoft and Salesforce sit alongside LangChain, LangGraph and AutoGen, with CrewAI also being adopted. That points to a shift toward multi-agent workflows. Engineering leads an accelerating hiring push across India and the US, and new AI Lead and Technical Lead roles suggest the AI stack is being formalized.
Notable leadership hires: Sales Growth Lead, AI Lead, Technical Lead
EDMO is a Salt Lake City-based education technology company founded in 2018 with 51–200 employees. It builds AI tools for universities, colleges and other higher education institutions that automate enrollment work. Covered tasks include document and photo ID verification, transcript and transfer credit evaluation, essay review, GPA calculation and applicant matching. The product also includes chatbot assistants for applicants. Its platform runs on Node.js, NestJS, Python, PostgreSQL and Kafka, and integrates with campus systems such as Slate, Ellucian and PeopleSoft.
EDMO builds with Node.js, TypeScript, NestJS, Python, React, Next.js, PostgreSQL, MongoDB, Redis and Kafka. Its AI layer uses LangChain, LangGraph, AutoGen, the OpenAI API, Anthropic and Google AI.
EDMO's stack includes Slate, Ellucian, PeopleSoft and Salesforce, plus webhooks. Integrating AI with customer systems and connecting data sources are recurring themes in its job posts.
Yes. Engineering is EDMO's largest hiring area, and overall hiring is accelerating. Roles are open in India and the United States, including AI Lead and Technical Lead positions alongside sales and marketing roles.
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EDMO's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.