Travel banking and payments platform for Indian passport holders
Niyo operates a dual-product fintech serving Indian travelers and domestic finance users. The stack—Python, Flask, Kafka, Kubernetes, MongoDB Atlas, and AWS compute primitives—reflects infrastructure built for transaction processing and real-time routing. Active hiring across design, product, and finance (with fewer engineering roles) suggests product and go-to-market acceleration over deep platform work. Projects center on premium travel concierge, card products, and sales talent acquisition, while stated pain points (complex travel request handling, scaling concierge service, forex markup optimization) point to operational constraints in their core travel vertical.
Niyo is a fintech company based in Bangalore, India, focused on travel banking and payments solutions for Indians traveling abroad. The company operates two main product lines: a flagship travel banking product (branded Niyo) offering zero-markup forex cards, international debit and credit cards with lounge access, and travel-linked savings accounts; and a broader payments and finance platform for domestic users. Founded in 2015, Niyo has grown to over 6 million users. The company partners with DCB and SBM Bank (India) for card issuance and regulatory infrastructure. Operations span 501–1,000 employees, all based in India.
Niyo's core stack includes Python, Flask, Kafka, Kubernetes, Docker, AWS Lambda/Fargate, MongoDB Atlas, and Amazon RDS. Observability and API layers run on Datadog, Graylog, Elasticsearch, and Kong. They recently began adopting Google's Gemini.
Core projects include a premium travel booking concierge desk, travel product vertical ownership, a website redesign, and marketing technology integration. Internal initiatives include talent acquisition pipeline development and employee lifecycle management—signaling scaling challenges in fintech sales hiring.
Niyo Solutions 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 →
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