Enterprise AI consulting for strategy, agentic systems, and legacy modernization
Coditas is a 700+-person AI services firm built around five service lines: AI strategy, multi-agent systems, AI-augmented engineering, legacy modernization, and AI/UX design. The stack reveals a mature AI engineering operation—Python, LangChain, LlamaIndex, Pinecone, Weaviate, and multiple LLM integrations (Gemini, Llama)—paired with heavy reliance on project-management tools (Jira, Asana, Trello) and Microsoft/AWS cloud infrastructure. Current hiring focuses on engineering roles at mid-level seniority, suggesting they're scaling delivery capacity rather than reshaping leadership.
Coditas designs and builds production-grade AI systems for enterprises in healthcare, financial services, and B2B SaaS. The company operates five distinct service lines: advising on AI readiness and roadmaps, building multi-agent workflows with governance and monitoring, reshaping engineering processes around AI tooling, modernizing legacy systems via AI-assisted intent recovery, and designing trustworthy human-AI interactions. Founded in 2014 and based in Pune, the firm now operates at 501–1,000 headcount and combines strategy consulting with hands-on implementation work. Internal challenges center on delivery consistency, governance enforcement, and scope management—typical friction points for services firms scaling AI practices.
LangChain, LlamaIndex, Pinecone, Weaviate, Supabase, plus integrations with Gemini and Llama models. Python is the primary development language, alongside C# and .NET for backend work.
AI strategy consulting, multi-agent systems design, AI-augmented engineering workflows, legacy system modernization, and human-AI experience design. They serve enterprise clients across healthcare, fintech, and SaaS sectors.
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Coditas'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.