Enterprise IT services and staff augmentation with AI modernization focus
Webilent is a 51–200-person IT services firm founded in 2001, now aggressively scaling AI and cloud capabilities. The stack reveals deep LLM infrastructure work—Azure OpenAI, Anthropic, LangChain, CrewAI, and vector stores (Pinecone, FAISS, Chroma)—paired with classic enterprise tooling (Java, Spring Boot, Azure DevOps, Kubernetes). Active hiring is concentrated in senior engineering and a COO role, suggesting they're building new AI delivery practices and operational structure to match client demand for enterprise-scale LLM projects and legacy-to-cloud migrations.
Notable leadership hires: Chief Operating Officer
Webilent provides project execution and staff augmentation services to mid-market and enterprise clients across insurance, finance, healthcare, and manufacturing. The company delivers custom software development, project management, and ongoing maintenance, with consultants embedded on reengineering and process improvement engagements. Current project activity centers on claims administration platforms, policy management system migrations (Duck Creek), and enterprise AI implementations—particularly retrieval-augmented generation and multi-agent systems. The business operates across the US and India.
Java, Spring Boot, React, Angular, Azure, AWS, Docker, Kubernetes, and extensive LLM tooling: Azure OpenAI, Anthropic, LangChain, CrewAI, LangGraph, Pinecone, and vector search frameworks like FAISS and Chroma for RAG architectures.
Insurance, finance, healthcare, communications, media, and manufacturing. Current project focus is heavy on insurance domain work—claims platforms, policy migrations, and data conversion initiatives.
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Webilent Technology, Inc.'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.