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    Home»Trade Technology»Atlar Becomes First Treasury Platform to Deploy J.P. Morgan Payments’ Real-Time Banking API
    Trade Technology

    Atlar Becomes First Treasury Platform to Deploy J.P. Morgan Payments’ Real-Time Banking API

    By Digital Trade OutlookMay 11, 2026
    Atlar Becomes First Treasury Platform to Deploy J.P. Morgan Payments’ Real-Time Banking API

    Stockholm, Sweden — April 29, 2026 — Atlar has become the first treasury platform to integrate with a new API launched by J.P. Morgan Payments, enabling businesses to connect bank accounts and access financial data in near real time within seconds.

    The integration allows joint customers to connect J.P. Morgan bank accounts directly into Atlar’s treasury platform without traditional file-transfer onboarding or internal IT development. AI software company Lovable is the first customer using the setup.

    The announcement highlights how treasury platforms are increasingly moving toward API-based banking connectivity as finance teams adopt AI tools that rely on continuous access to live transaction and payment data.

    Treasury Infrastructure Moves Toward Real-Time Connectivity

    Corporate treasury systems have historically relied on file-based integrations and batch processing methods to connect with banks, often resulting in lengthy onboarding timelines and delayed access to financial information.

    According to the announcement, J.P. Morgan Payments’ new API gives treasury platforms and AI agents direct access to balances, transactions and payment data from J.P. Morgan accounts. The integration between Atlar and J.P. Morgan Payments is pre-built, allowing customers to authenticate and connect accounts within seconds.

    Once connected, transaction data flows directly into Atlar’s platform and integrates with enterprise resource planning systems and broader finance stacks. Atlar said its AI agents can immediately begin payment reviews, reconciliation, forecasting and cash positioning tasks.

    The shift toward API-driven treasury connectivity is becoming increasingly important as finance teams seek to automate workflows previously dependent on manual reconciliation and delayed banking data.

    Lovable Uses AI-Native Treasury Setup

    Lovable, an AI application-building platform, is the first joint customer to deploy the integration. The company said it connected its J.P. Morgan bank accounts to Atlar while integrating treasury operations with its ERP systems.

    Atlar: What It Means

    Lovable reported reaching $400 million in annual recurring revenue within 15 months and achieving a valuation of $6.6 billion in just over a year.

    “At Lovable’s scale, manual treasury work isn’t viable,” said Matias Salonen, Finance Lead at Lovable. “When you’re growing at our pace, you need partners that can move with you.”

    Lisa Davis, Head of Digital & Design Commercialization at J.P. Morgan Payments, said the API was developed to reduce implementation complexity for organisations requiring secure access to real-time treasury data.

    Joel Nordstrom, Co-founder and CEO of Atlar, said reliable banking connectivity remains one of the key operational requirements for deploying AI effectively within finance functions.

    Banks are increasingly opening treasury infrastructure through APIs as competition intensifies around embedded finance, programmable banking and enterprise treasury automation. The ability to provide real-time financial data is becoming a critical differentiator for transaction banking providers working with fast-growing digital businesses.

    About Atlar: Atlar is a Stockholm-headquartered treasury management platform focused on AI-driven cash management, payments and banking connectivity.

    DTO Analysis

    The integration signals how transaction banking infrastructure is evolving from batch-based connectivity toward API-led finance operations built for AI workflows. Treasury automation platforms are now competing on data accessibility and real-time execution rather than only reporting capabilities.

    For banks, exposing treasury services through developer-ready APIs could become increasingly important as enterprise finance teams look to embed AI into forecasting, reconciliation and liquidity management processes.

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