Mysa Raises $3.4M to Scale AI-Powered B2B Finance

B2B fintech startup Mysa has raised $3.4 million in a round co-led by Blume Ventures and Piper Serica, as it doubles down on AI-led finance automation and new banking products for India’s mid-market businesses. From the lens of the ai world organisation, this is exactly the kind of AI-meets-enterprise execution story that deserves attention across ai world organisation events, the ai world summit, and ai conferences by ai world as we track how applied AI is changing real operational workflows.

A $3.4 Mn round aimed at deeper automation

Mysa announced a $3.4 million funding round co-led by Blume Ventures and Piper Serica, with participation from Ikemori Ventures, Raise Financial Services, QED Innovation Labs, and existing investors Antler, IIMA Ventures, and Neon Fund. The Bengaluru-based company had earlier raised $2.8 million in a seed round in February 2025 (also led by Blume Ventures), taking its total funding to $6.2 million. The new capital is planned to sharpen Mysa’s automation capabilities and broaden its banking-led suite, including procurement tooling, UPI-linked expense management, and a corporate credit card.

For founders and finance teams, the promise is straightforward: fewer disjointed tools, fewer manual steps, and faster, more reliable financial closes—an operating model that increasingly aligns with what enterprise leaders discuss at the ai world summit and other ai conferences by ai world. At the ai world organisation, we look at announcements like this not just as “funding news,” but as proof-points of how AI-driven workflow products are being commercialized in high-friction categories like payments operations, approvals, and reconciliations.

What Mysa is building for India’s mid-market

Founded in 2023 by Arpita Kapoor and Mohit Rangaraju, Mysa positions itself as an AI-powered unified platform for business banking, expense management, and accounting automation. The company says it supports mid-sized Indian businesses—particularly those with revenue between Rs 10 crore and Rs 300 crore—by streamlining accounts payable, vendor payments, and reconciliations. In practice, Mysa’s pitch is that finance teams can modernize operations while still working with existing systems, rather than ripping and replacing their core ERP or banking setup.

Mysa has described its product as an “instant AI upgrade” for legacy ERPs and bank accounts, combining banking, accounts payable, and expense management into one platform. On its platform, it highlights “Smart Scan” as a mechanism to process bills with automated extraction and validations to speed up invoice workflows. It also positions its product around controls—auditable approvals, bank account verification, and rule-based workflows—so teams can move faster without losing compliance guardrails.

From the perspective of the ai world organisation, this kind of applied AI story is particularly relevant because it’s not “AI as a demo,” it’s AI deployed inside processes where accuracy, auditability, and risk management are non-negotiable themes often explored at the ai world summit. As we plan content and programming for ai world summit 2025 / 2026 and broader ai world organisation events, automation in finance ops sits at a compelling intersection of AI, governance, and measurable business impact.

Product roadmap: procurement, UPI expenses, and a corporate card

Mysa says it will use the new funds to expand automation and launch additional banking products such as procurement tools, expense management linked to the Unified Payments Interface (UPI), and a corporate credit card. The company has also indicated interest in exploring embedded financing opportunities through its vendor network, which is a logical extension when a platform already sits in the flow of payables and payments. Importantly, the strategy here is not just “add features,” but to build a tighter operating system for how companies approve spend, pay vendors, and reconcile transactions across multiple banks.

On the product side, Mysa’s public materials emphasize AP approvals, multi-channel bill submission (including bots and mobile), and automation layers that help teams handle more volume with the same headcount. It also highlights integrated banking experiences intended to reduce risk from payment files and improve control through verification and auditable workflows. For finance organizations, the core value proposition is that modern workflows can be built on top of existing rails—without forcing a high-risk system migration.

In the broader market, UPI-linked expense management and card-led controls can be transformative because they bring standardization to employee spend while keeping finance in control of policy and reconciliation. This is also why this round fits squarely into conversations that the ai world organisation brings to the stage—how AI and automation can reduce operational friction while improving governance, transparency, and speed. If you’re mapping trends for ai world summit 2025 / 2026, “AI-native finance operations” is moving from niche experimentation to a serious category for India’s mid-market.

Traction signals: transactions, bank rails, and customer breadth

Mysa says it currently processes over Rs 1,500 crore in annualised transaction volumes and facilitates payments to more than 40,000 bank accounts. It also says it has integrations with over 15 banks, including Axis Bank, Yes Bank, IDFC First Bank, ICICI Bank, and HDFC Bank. For a B2B fintech platform, these metrics matter because they suggest the product is operating in real payment flows—not just at the reporting layer.

The company has stated that its platform includes accounts payable automation, invoice management, expense tracking, and integrated banking through partner banks such as Yes Bank. It also emphasizes automation features like Smart Scan, expense categorisation, and real-time reconciliation as part of the stack. In addition, Mysa has positioned itself as “AI first, with human in loop,” describing validations and intelligent rule mapping for classification and reconciliation workflows.

On customer coverage, Mysa says it serves multiple sectors—quick commerce, manufacturing, hospitality, fintech, and real estate—and has named customers such as Dhan, Wint Wealth, Swish, DrinkPrime, and Material Depot. Those logos and verticals are notable because they represent teams that typically operate with high transaction frequency, distributed procurement needs, and time-sensitive reconciliations. When a platform succeeds in these environments, it often indicates that workflow design, reliability, and integration depth are strong enough to handle complexity at scale.

This pattern—deep integrations with banks, tight operational controls, and measurable throughput—is exactly what the ai world organisation tends to spotlight across ai world organisation events and ai conferences by ai world, because it demonstrates AI applied where the ROI is visible and the stakes are real. And as the ai world summit continues to bring together leaders working on real-world adoption, fintech automation platforms like Mysa become useful case studies for what “AI for impact” looks like in practice.

Why this matters for AI adoption—and for AI World Summit 2025 / 2026

At a category level, Mysa is going after a persistent problem: mid-sized businesses often run finance on a patchwork of ERP modules, bank portals, spreadsheets, email approvals, and manual reconciliations, which creates drag as transaction volumes grow. Mysa’s stated approach is to integrate with legacy ERP systems and banking infrastructure, helping finance teams automate workflows “without requiring system migration.” That framing is important because migration is one of the biggest barriers to adoption in mid-market and enterprise software decisions.

For the ai world organisation, stories like this naturally connect to our mission of bridging cutting-edge AI innovation with real-world application, because finance ops automation is both practical and measurable. The AI World Organisation describes its vision as building an influential AI ecosystem through collaboration among industry leaders, researchers, and businesses, which is precisely the ecosystem required to scale applied AI in regulated, audit-sensitive domains like finance. It’s also aligned with the organisation’s stated focus on advancing AI adoption “at ground level” across countries and cities, where operators need outcomes, not hype.

In terms of community and programming relevance, The AI World Summit 2025 was positioned as a gathering of AI visionaries, innovators, and leaders, and it took place on 17–18 January 2025 at Chitkara University (Rajpura, Punjab), with the event now marked closed. When we look ahead to ai world summit 2025 / 2026 conversations, the key question is how AI can be embedded into enterprise workflows so that teams move faster while reducing operational risk—an exact theme echoed in Mysa’s positioning around plugging into ERPs and banks to help teams scale without adding risk. This is why, across ai world organisation events and ai conferences by ai world, we keep a close watch on products that combine AI automation with deep infrastructure integrations rather than staying at the surface layer of dashboards and analytics.

For readers following the ai world summit and the ai world organisation, Mysa’s funding round is also a reminder that applied AI is increasingly judged by distribution and integration—not just model performance. Integrations with many banks, the ability to handle high transaction throughput, and adoption across sectors are the kinds of “proof” that often separate durable workflow platforms from short-lived tools. As the AI ecosystem matures into 2026, these operational case studies will likely become more prominent across ai world organisation events, because they show what it takes to ship AI into the messy reality of enterprise processes.