Aliya unveils aliyaOS to overhaul bank lending risk

Aliya has launched aliyaOS, a lending operating intelligence system developed and used inside a large, OCC-regulated US bank, and now being offered to community and regional banks.

The Austin-based company built the product in stealth. It describes aliyaOS as a closed-loop system that keeps lending decisions and monitoring running continuously, rather than relying on periodic underwriting and fixed credit models.

Aliya was founded by S.P. "Wije" Wijegoonaratna and Robert Citrone. Both are global macro investors associated with the "Tiger Cubs" network, with past roles at Discovery Capital Management, Tiger Management, Moore Capital, Fortress Investment Group and Banyan Fund Management.

Wijegoonaratna said shifts in regulation, artificial intelligence and macroeconomic conditions are pushing lenders to reassess how they manage risk through the cycle.

"Banking is entering a period of structural change, significant regulatory easing, AI and macro shifts," said Wijegoonaratna, CEO of Aliya. "In volatile environments, static, point-in-time credit decisions break down. Capital markets have long managed risk as a continuous process. Aliya was built to bring that same discipline into bank lending, in a way that works inside real regulatory and operating constraints."

Product scope

Aliya describes aliyaOS as software that connects data ingestion, governed decisioning, straight-through processing and feedback loops. It embeds risk decisioning and continuous feedback into lending workflows and is designed to operate with regulatory controls.

The platform uses bank account transaction data as a core input to build a cash-flow-based view of affordability and borrower behaviour. Aliya says this lets banks size and structure loans based on observed inflows and outflows, then monitor performance after origination.

Closed-loop monitoring is gaining attention as banks and fintechs look for earlier signs of repayment stress. Transaction-level data can update more frequently than bureau scores and periodic financial statements, though adoption varies by product line, customer segment and local rules on data access and consent.

Claims and metrics

Aliya said the product has been in development and live operation for more than eight years inside a conservative US "mega bank" overseen by the Office of the Comptroller of the Currency, supporting more than USD $30 billion in lending decisions.

It also noted that aliyaOS moved manual lending programmes into continuously running automated workflows, delivering higher returns and lower unit costs.

Aliya also made specific performance claims for production deployments, saying aliyaOS "cuts losses by upwards of 50%" and enables "ROAs in the 5% range at scale". Those figures are well above typical return on assets levels across the banking industry, which are often below 2% for many institutions, though results can vary widely by product mix and risk appetite.

Market focus

Aliya is targeting its initial commercial rollout at community and regional banks, which it said are seeking more durable earnings, better efficiency ratios and improved customer outcomes without increasing balance sheet risk.

The company argues that many legacy lending platforms still centre on episodic underwriting, static models and periodic reviews. Its approach puts continuous decisioning and monitoring at the centre of the workflow, with more automated processing across the lending journey.

Commentator John Maxfield tied the approach to the founders' investment backgrounds and the use of account data for underwriting and monitoring.

"Aliya helps banks use their own, as well as competitor banks', account data to increase lending and lower risk. Wije and his team have leveraged decades of investment and risk management experience to build a platform that enables banks to make smarter, better-informed decisions in the digital banking landscape of today." - John Maxfield, Maxfield on Banks

Expansion plans

Aliya said it is engaging with select community and regional banks and expects a phased expansion over the coming year. Wijegoonaratna framed the product's value around information flow and risk allocation, rather than looser underwriting standards.

"Better information doesn't increase risk - it reallocates it more intelligently," said Wijegoonaratna. "Our goal is to give banks proven, regulated operational intelligence so they can serve more customers, strengthen their franchises, and compound shareholder value responsibly."