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$180–250K / year · Remote · United States
Echelon builds an AI platform for business operations that unifies fragmented HR, finance and operational data, using process mining and a living ontology to power automated workflows and AI agents.
Echelon builds an AI platform for business operations that connects fragmented HR, finance, and operational data into a unified intelligence layer spanning systems, documents, decisions, people and workflows. The software applies passive process mining and a living ontology to reveal how work actually happens within an organisation, exposing relationships, evidence, bottlenecks and opportunities for strategic alignment. It is aimed at enterprise customers in finance, human resources and business operations.
A second layer of the product converts this organisational context into automated workflows and AI agents intended to automate operational knowledge work. The stated purpose is to help users understand market position, make informed decisions and build durable professional leverage, with the underlying platform drawing on technical domains including AI agents, ontology and knowledge representation, data integration, workflow automation, APIs and data modelling.
The company is early-stage and works directly with customers on complex enterprise data and workflow problems. Engineering teams build production systems spanning product interfaces, APIs, data models, asynchronous workflows and agent execution. Further details on founding year, team size, funding and geographic presence are not disclosed.