Finastra and Marketnode automate credit agreements

A big corporate loan can still begin with lawyers emailing around a long credit agreement and operations staff typing the same fields into bank systems by hand. On April 8, 2026, Finastra said it is plugging Marketnode’s document-reading software into its Loan IQ lending platform to cut that onboarding work down to an automated flow. (finastra.com) The bottleneck sits at the moment a signed credit agreement has to become live data inside the bank. Finastra said that step has long involved manual data entry, fragmented processes, and operational risk for corporate lenders. (finastra.com) Loan IQ is the system many large banks already use to run commercial and syndicated loans after a deal is agreed. Finastra says Loan IQ supports everything from bilateral loans to complex syndicated lending on one centralized platform. (finastra.com) Marketnode is the new layer being added on top of that workflow. The Singapore company says it is backed by Euroclear, HSBC, Singapore Exchange Group, and Temasek, which gives it a foothold with institutions that already buy market infrastructure rather than startup software. (marketnode.com) The software reads credit documents with large language models, optical character recognition, and machine learning, then pulls out the fields a bank needs to set up the loan. Finastra said those extracted fields can then be mapped into Loan IQ through the Loan IQ Nexus Build module. (finastra.com) Loan IQ Nexus Build is Finastra’s onboarding layer for getting loans into the core servicing system. Finastra says it provides a single point of entry for loan boarding and is designed for straight-through processing, which is bank jargon for work that moves from document to system without people rekeying every step. (finastra.com) The companies are selling one number hard: from two hours to 10 minutes. Marketnode said the combined workflow can reduce processing time by more than 90% while improving accuracy and compliance checks. (marketnode.com) That speed claim matters because loan operations teams do not just type names and amounts. They also have to capture covenants, dates, pricing terms, and borrower details exactly, because a bad field in the servicing system can ripple into notices, payments, and reporting later in the life of the loan. (finastra.com) Finastra is not pitching this as a greenfield experiment for digital-native lenders. The company says the combined setup supports on-premise and private cloud deployment, which is a clue that the target buyer is the incumbent bank with old infrastructure and strict data controls, not a startup building from scratch. (finastra.com) That is the real shape of the story: artificial intelligence is not replacing the corporate loan desk, but it is being dropped into one of the most paper-heavy parts of the process. Instead of asking banks to rip out Loan IQ, Finastra and Marketnode are trying to make the paperwork disappear before it ever reaches the keyboard. (finastra.com)