RPA and workflow automation for financial process compliance
Finkraft builds RPA and data automation tools for financial workflows — GST reconciliation, expense processing, document extraction. The tech stack (RAG, Airflow, Spark, Kafka, dbt, PostgreSQL) reflects a data-pipeline–first architecture, while active projects signal a pivot toward AI agents and orchestration. Pain points around moving AI from experimentation to production and automating complex financial workflows align with the hiring surge in engineering and data roles, suggesting the company is scaling toward agentic automation rather than rule-based RPA alone.
Notable leadership hires: Sales Head
Finkraft operates a SaaS platform automating data collection, reconciliation, and compliance workflows for mid-market and enterprise financial teams. The platform combines RPA (email/website extraction, document management), data pipeline orchestration (Airflow, Spark, Kafka), and real-time dashboards to eliminate manual reconciliation across GST credits, expense processing, and cross-border financial tasks. They serve consulting, pharma, retail, government, banking, and industrial sectors primarily in India, with emerging pilots in the Middle East and GCC regions. The company is in Mumbai and currently hiring across engineering, sales, data, and product.
Core stack includes RAG, Apache Airflow, dbt, Spark, Kafka, PostgreSQL, MongoDB, Python, SQL, and Power BI/Tableau for orchestration and analytics. Also uses Salesforce, HubSpot, ZoomInfo for go-to-market.
AI agent design for financial workflows, LLM integration with safety guardrails, workflow orchestration, virtual cards product, and localization for Middle East and GCC markets. Actively moving AI from experimentation to production.
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