Recruitment and enterprise automation services for India-based mid-market
Etenico is a 11–50-person recruitment and staffing firm based in Gurugram, but the tech stack reveals a parallel business in enterprise automation and AI: heavy RPA (UiPath, Automation Anywhere), BI tools (Power BI, Tableau, QlikView), and a growing AI/ML footprint (RAG, LangChain, CrewAI, Semantic Kernel, vector search). Active projects span autonomous coding, supply-chain cloud migration, and RAG pipeline design—suggesting service delivery beyond pure staffing, likely consulting or managed services for Indian GCCs and mid-market enterprises.
Etenico operates as a recruitment agency placing candidates across healthcare, finance, and technology sectors. The hiring velocity is accelerating across ops, sales, data, and engineering roles, with senior and director-level positions filling. The company's project portfolio—automation initiatives, digital dashboards, supply-chain SaaS implementation, and RAG architecture—indicates parallel consulting or managed-services delivery to enterprise clients managing legacy system migrations and cloud adoption. Pain points cluster around cost optimization, process efficiency, and technical debt in supply-chain modernization, positioning Etenico as a solutions provider to Indian enterprises (GCCs, supply-chain operators) navigating cloud and automation complexity.
Etenico's stack spans RPA (UiPath, Automation Anywhere), BI/analytics (Power BI, Tableau, QlikView, SAP), cloud (Azure, AWS Lambda, Snowflake), and AI/ML (PyTorch, TensorFlow, OpenAI, LangChain, RAG, vector databases: Pinecone, FAISS, Weaviate, Chroma).
Autonomous coding solutions, RPA automation initiatives, digital dashboards, supply-chain cloud-native SaaS implementation, legacy system migrations to Azure, RAG pipelines, and vector search/NLP projects for enterprise clients.
Etenico Technologies'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.