AI-native front end for Quod’s multi-asset OMS, EMS and SOR turns a plain-language request into a tested, production-ready feature, while every order decision stays in a deterministic, auditable core.
LONDON — October 28th, 2026 — Quod Financial, the independent provider of multi-asset trading technology, today announced the general availability of Qanvas, an AI-native front end and workflow framework for its OMS, EMS and smart order router. Qanvas lets a trading desk describe a new workflow in plain language and receive it as a tested, production-ready feature in hours. In one verified case, a feature went from request to validated, merged code in 4 hours 33 minutes.
For two decades, capital markets software has moved at the pace of the vendor’s release calendar: change requests queued for quarters, separate screens for each asset class, and desks that stopped asking for what they needed. Qanvas removes that constraint. It puts equities, FX, listed derivatives and digital assets on one desk, and changes the economics of feature delivery by orders of magnitude, without touching the execution, routing and risk logic that clients and regulators depend on.
The end of the eighteen-month change request
The traditional vendor model has trained trading desks to wait. A new instrument, a blotter column or a sales-trading workflow typically joins a backlog measured in quarters or years. Over time, desks stop asking, and workarounds accumulate across spreadsheets and disconnected terminals.
Quod built Qanvas to test a simple proposition: if a desk can have what it asks for by next week, what it asks for changes. To prove it, Quod discarded two years of conventional front-end development and rebuilt its web trading interface from the ground up in six weeks. In the five months that followed, a team equivalent to 1.4 engineers shipped around 950 features, a sustained rate of roughly 50 features per engineer per week.
Quod believes the implications reach well beyond its own platform. When a screen built on existing data takes an afternoon, buying decisions based on feature checklists lose their meaning. The question for any trading firm becomes whether its platform lets it build what it has not yet imagined.
Medan Gabbay, Chief Executive Officer of Quod Financial, said: “For twenty years, trading desks have been told to choose between speed and quality, and to wait for the next release. Qanvas ends that trade-off. We rebuilt our own front end this way, and the result has changed how we think about the entire industry. When a desk knows it can have what it needs by next week, it stops asking for small fixes and starts redesigning how it trades.“
“We are not an AI company. We are a trading technology company with more than two decades of execution know-how, and that cannot be prompted into existence. What AI changes is the pipeline that turns a sentence into tested software. Qanvas puts that pipeline in front of the desk, on top of a core that behaves exactly the same way every time an order is sent.“
“Our message to the market is simple. Tell us what you need. We will deliver it to you by next week.“
To request a demonstration, or to bring Quod a workflow to build, visit quodfinancial.com/products/qanvas.
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About Quod Financial
Quod Financial is a global provider of multi-asset trading technology, delivering high-performance OMS, EMS, Smart Order Routing, and Algorithmic Trading solutions. Built on a modular, AI-driven architecture, Quod empowers financial institutions to automate, customize, and scale their trading infrastructure seamlessly across the full order lifecycle. With advanced liquidity engines, low-code UI flexibility, and normalized cross-asset workflows, Quod Financial delivers complete trading control without system disruption.
Headquartered in London, Quod Financial operates globally with offices in Paris, New York, Dubai, Hong Kong, Singapore, and Toronto.
For more information, visit www.quodfinancial.com
Quod Marketing | marketing@quodfinancial.com