Juspay Builds New AI Business as Digital Payments Revenue Increases
Indian payments technology company Juspay is expanding beyond its traditional digital payments infrastructure business as it develops artificial intelligence products for enterprises, banks and online businesses.
The Bengaluru-based company reported revenue of ₹664 crore for the financial year 2025–26, representing a 30 percent increase from ₹514 crore in the previous financial year.
Alongside its payments business, Juspay is investing in enterprise AI software, automated customer interactions, AI-powered shopping experiences and payment intelligence tools.
The strategy reflects a broader change in the technology industry, where companies that originally built payment, cloud or software infrastructure are increasingly developing AI products that can automate complex business operations.Revenue Grows but Net Profit Turns Into a Loss
Juspay's latest financial results show strong revenue growth alongside higher investment costs.
The company reported a net loss of ₹90 crore in FY26, compared with a net profit of approximately ₹62 crore in FY25.
According to the company, investments in artificial intelligence capabilities and international expansion contributed to the change in profitability.
Juspay also reported adjusted earnings before interest, taxes, depreciation and amortisation of ₹33 crore, excluding employee stock option costs.
The figures highlight the financial challenge facing technology businesses that are trying to expand existing operations while developing new products in competitive markets.
Although revenue growth indicates increasing business activity, the company's AI investments have not yet been disclosed as a separate revenue segment.
Four AI Products Form the Company's New Strategy
Juspay is developing several AI platforms designed to address different enterprise requirements. These include Xyne, Breeze Buddy, Breeze Universal and Juspay Genius.
Rather than focusing on a single general-purpose chatbot, the products target business data, customer conversations, online shopping and payment operations.
The company's approach is intended to bring AI into the systems businesses already use to serve customers, manage transactions and make operational decisions.
Xyne Helps Businesses Build AI Applications
Xyne is an open-source enterprise AI platform designed to help organisations build AI applications and agents around their own business information.
The platform is model-agnostic, meaning organisations can retain flexibility in choosing which AI models they use rather than depending entirely on a single model provider.
It also emphasises data sovereignty, giving organisations greater control over their information and the environment in which their AI applications operate.
Businesses could use this type of technology to develop internal assistants, search company documents, support employees with research or automate selected workflows using organisational data.
For companies handling confidential information, the ability to control data access and model selection can be an important consideration when deploying enterprise AI.
Breeze Buddy Targets Automated Customer Conversations
Another product in the portfolio is Breeze Buddy, a no-code AI voice platform designed to help enterprises create conversational workflows.
The platform targets use cases such as customer support, feedback collection and verification.
Voice-based AI systems can help businesses handle routine enquiries, collect information and respond to customers without requiring a human employee to manage every interaction.
Businesses may also be able to use automated conversations to support customers outside normal working hours or manage periods of high demand.
However, the effectiveness of these systems depends on factors such as language support, accuracy, customer experience and the ability to transfer complicated cases to human representatives.
Breeze Universal Brings AI Into Online Shopping
Breeze Universal focuses on AI-powered product discovery and shopping experiences.
Launched as a pilot in September 2026, the platform is designed to help brands make their products discoverable across participating AI platforms, including ChatGPT and Claude, as well as merchants' and banks' own digital services.
The broader idea is to allow customers to discover and compare products through AI conversations instead of navigating multiple websites and applications manually.
Participating businesses can potentially use the technology to connect product catalogues with AI-driven shopping experiences and reach customers through new digital channels.
This approach is part of the emerging field of agentic commerce, in which AI systems can assist customers with product research, comparison and purchasing workflows.
For retailers, the opportunity is to make products easier to discover while simplifying the customer journey from initial interest to checkout.
Juspay Genius Uses AI for Payment Intelligence
The company's fourth major AI initiative is Juspay Genius, a payment intelligence product designed for enterprise teams.
Payment operations can involve analysing transaction data, monitoring payment performance, managing routing rules and investigating failed transactions.
AI-based tools can help businesses examine these processes, identify patterns and support decisions about how payments should be managed.
For large retailers, marketplaces and financial institutions, even small improvements in payment reliability can be valuable because failed transactions may result in lost sales and additional customer-service costs.
Juspay is positioning its AI capabilities as an extension of its experience building payment infrastructure for large enterprises.
Juspay Processes 400 Million Transactions Daily
Juspay's existing payments business provides the foundation for its expansion into enterprise software.
The company reported that its platform processed approximately 400 million transactions per day during FY26.
It also reported an annualised total payment volume exceeding US$1 trillion across more than 500 enterprises and banks.
Its customers and supported brands include businesses such as Amazon, Flipkart, Google, HSBC, IKEA, IndiGo, Swiggy and Zepto.
These figures demonstrate the scale of the payment infrastructure business that Juspay is seeking to build upon as it expands into AI and commerce technology.
International Expansion Becomes a Priority
Juspay is strengthening its presence across the Asia-Pacific region, Europe, the United States, Latin America and the Middle East.
The company provides payment technology to businesses and financial institutions operating across different markets, where payment methods, banking infrastructure and regulatory requirements can vary significantly.
Its experience with India's digital payments ecosystem, including technologies associated with large-scale payment processing, provides a foundation for pursuing international opportunities.
Juspay has also been developing partnerships to support businesses operating across multiple markets.
International expansion could provide additional opportunities for both its established payments services and newer enterprise technology products.
AI Infrastructure Is Becoming More Expensive
Developing AI products requires more than software engineers and algorithms. Companies may also need access to powerful processors, GPU infrastructure, data storage and specialised engineering talent.
Juspay has increased its investment in AI infrastructure as it works to develop and commercialise its new platforms.
Building its own computing capacity can give a company greater control over workloads and costs, but it also requires capital and ongoing operational spending.
These investments help explain why technology companies can report growing revenue while experiencing pressure on short-term profitability.
For Juspay, the key question is whether demand for its AI products grows sufficiently to justify the additional development and infrastructure costs.
Competition in Enterprise AI Is Increasing
The enterprise AI market includes major cloud providers, established software companies and specialised startups offering AI agents, voice automation and business analytics.
Businesses are evaluating these technologies for tasks ranging from customer service and internal knowledge management to software development and financial operations.
Juspay's strategy is to combine its experience in payments and commerce with new AI capabilities aimed at specific business needs.
Its open-source approach with Xyne and its focus on payments, shopping and customer interactions distinguish the company's product portfolio from general-purpose AI assistants.
However, commercial success will depend on customer adoption, product reliability, integration costs and the ability to demonstrate measurable benefits.
What to Watch in FY27
Juspay's next financial year will be important for assessing whether its investments begin to translate into stronger commercial performance.
The company has indicated that it expects its international business to become a larger share of revenue as it expands into new markets.
It will also need to demonstrate demand for its AI products and show how those offerings can contribute to sustainable growth.
Important indicators to watch include revenue growth, international customer adoption, AI product commercialisation, operating costs and profitability.
India's Fintech Industry Moves Further Into AI
Juspay's expansion reflects a wider trend in India's technology industry, where companies are looking beyond their original products to develop AI-powered services for global customers.
Payment infrastructure companies have access to specialised technical expertise and business relationships that can support new products in areas such as commerce, analytics and automation.
At the same time, building an AI business requires substantial investment and does not guarantee immediate profits.
Juspay's latest results illustrate both sides of the opportunity: revenue increased significantly, while the company recorded a net loss as it invested in new technology and international growth.
The coming year will help show whether its enterprise AI strategy can become a meaningful additional source of business growth.
Journalist: Vijay Singh
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