AI and process automation for financial, supply chain, and HR workflows
Senzcraft builds AI and automation solutions for back-office workflows, with a heavy emphasis on financial data extraction and structuring. The tech stack—Databricks, PySpark, LangChain, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, Milvus)—reveals a data-engineering-first approach to RAG and multi-agent systems rather than pre-built automation platforms. Active projects in financial data normalization and GenAI extraction, paired with hiring concentrated in data roles, signal an organization scaling toward managed financial process automation.
Notable leadership hires: AI Lead
Senzcraft is a 11–50 person AI and process automation firm based in Bangalore. They work with marketing, HR, finance, and supply chain teams to redesign workflows using AI and intelligent automation. Their technical focus spans data pipeline work (PySpark, Databricks, Hadoop), large language models (LangChain, LangGraph), and vector search infrastructure. Current projects include dynamic data retrieval tools, financial data extraction and normalization systems, and a SaaS AI operations platform. The organization is hiring senior data engineers and an AI lead, indicating acceleration in delivery and technical depth.
Senzcraft uses Azure, AWS, GCP, Databricks, PySpark, Python, and vector databases (Pinecone, Weaviate, FAISS, Milvus). On the application layer: LangChain, LangGraph, GraphQL, Docker, Jenkins, and Power BI for analytics.
Current projects include GenAI multi-agent systems for financial data extraction, dynamic data retrieval and scraping, financial data structuring from balance sheets, an AI operations SaaS platform, and forecasting systems.
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