About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Overbond and interop.io Partner to Enhance Fixed Income Trading Workflows

Subscribe to our newsletter

Overbond, the fixed income data, analytics and trade automation solutions provider, has partnered with interoperability specialist Interop.io, to improve fixed income trader workflows through FDC3 interoperability. The partnership aims to address the prevalent challenges of data silos and liquidity fragmentation in the credit markets, by enabling clients to integrate various applications and features into one cohesive and intelligent desktop environment.

By enhancing the trading workflow for users of both platforms, the collaboration between Interop.io and Overbond aims to address common issues that can hinder effective and profitable trading in credit trading, such as incomplete or isolated data and a lack of automation.

“We get a lot of traction in the fixed income space, because of the data fragmentation, the siloed applications, and the fact that many bonds are so illiquid,” says Reena Raichura, Director, Head of Product Solutions at interop.io, in conversation with TradingTech Insight. “If you want to rebalance a portfolio containing bonds that aren’t trading anymore, you have to look for similar bonds, which means sifting through lots of data. So we’re working with niche tech firms like Overbond, who can solve these types of data fragmentation problems, to streamline that workflow.”

The partnership with interop.io will enable Overbond’s suite of AI algorithms to become embedded within investment and trading workflows by interoperating with a wide range of applications and existing tech stacks, thus giving clients the opportunity to derive greater value from Overbond components.

“We try to be as interoperable as possible,” adds Vuk Magdelinic, Overbond’s CEO. “In the corporate bonds market structure, some bonds trade multiple venues, with very different liquidity profiles. So you have to look at different prices/size, liquidity profiles, and liquidity depth across different venues. That’s already multiple GUIs. Then you have to book the trades, some of which can be executed electronically but others are OTC, meaning you have to chat with somebody and negotiate using something like Symphony or IB Chat. And then you have your internal applications, so that’s already five different front ends, which is very inefficient. Working together with interop.io to glue this all together is therefore a big benefit to our clients.”

Key features of the collaboration include the ability for traders to quickly access liquidity and pricing information on Overbond with a single click from their portfolio or order/execution management systems, to rapidly asses best prices within Overbond, and to initiate direct communications with dealers, with relevant quote details pre-populated.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

When Market Data’s Cloud Migration Is Over, What’s Left Behind?

The firms furthest along with cloud have stopped arguing about whether market data belongs there. What occupies them now are the questions that outlasted the migration: where the on-premises boundary finally holds, what turns out to cost money, and whether entitlement frameworks built for headcount can survive machines that consume data at machine speed. Getting...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...