Athenas builds logistics software for port terminals and supply-chain operations. The stack — Java, Spring, PostgreSQL, Oracle, Angular — is enterprise-grade, but the active project list reveals an organization in knowledge-consolidation mode: documentation standardization, knowledge-base taxonomy, LLM orchestration, and generative AI solutions dominate the roadmap. This suggests internal pain (fragmented docs, dispersed knowledge) is being tackled first before scaling outbound product velocity.
Athenas is a logistics software company founded in 2000, headquartered in Rio de Janeiro. The product integrates process automation, digital-twin modeling, and terminal operating systems for port and logistics operators. The company is 11–50 employees, engineering-heavy (23 of 29 open roles), and hiring exclusively in Brazil. The tech stack spans Java backends (Spring), relational databases (PostgreSQL, MySQL, Oracle), and a modern frontend (Angular), with recent exploration of LangChain and LangSmith for AI-driven features.
Java, Spring, Django, PostgreSQL, MySQL, Oracle, Angular, REST. The company is experimenting with LangChain and LangSmith for LLM-based features.
Documentation standardization, knowledge-base organization, microservices development, LLM orchestration pipelines, and generative AI solutions. Core pain points include fragmented documentation and dispersed knowledge across teams.
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