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

A-Team Insight Blogs

MDX Technology Secures Private Investment to Drive Business Expansion Plans

Subscribe to our newsletter

Data collaboration technology vendor MDX Technology (MDXT) has secured “significant investment” from a group of private backers, including Daniel Simpson and Emanuel Mond, co-founders of Cadis (now IHS Markit EDM) and Graham Denyer, ex CTO of IHS Markit EDM. The funding – an undisclosed amount – will accelerate the firm’s business development plans and new technology development activities.

MDXT’s data collaboration technology is used by investment banks, interdealer brokers and buy-side firms, and underpins the MDXT Marketplace – previously known as IowaRocks – for market, alternative and reference data.

“The MDX brand is very well recognised, with a couple of thousand unique users and 40+ customers, all great blue chip names,” says Simpson. “This investment will help us scale the business and take it to the next level, by building a global 24/7 support desk, increasing our cloud infrastructure, growing the product features and expanding the development team and the sales and marketing teams. We’ve more than proved the concept, it’s a really well-established business, but we now want to get from A to B that bit quicker, which obviously requires capital.”

“We’ve got a very well-regarded technology stack that does collection, storage, and distribution of data,” says Paul Watmough, CEO at MDXT. “One of the key distribution points is the MDXT Marketplace, where we’ve onboarded 30+ data providers including the likes of ICE, IGM Credit, and NewChangeFX, which is all underpinned by our distribution technology. And the technology stack is our is our core focus.”

“Increasingly, what we’re seeing is brokers and exchanges wanting to white label or OEM the technology as their distribution mechanism, their data backbone effectively,” adds Simpson. “And there are three distinct use cases: intrabank, so banks sharing real time data amongst themselves internally, e.g. trading desk to sales trading to risk; buy side to sell side, sharing things like axes and inventory; and providing the data backbone for the brokers, the exchanges, and the vendors. Crucially, it’s one piece of technology underpinning all of that.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

The AI Co-Pilot: How Wall Street is Really Using AI for a Competitive Edge

The headlines paint a dramatic picture: autonomous AI traders making split-second decisions, rendering human portfolio managers obsolete. But for technology professionals on the ground, the reality of artificial intelligence in capital markets is proving to be both more pragmatic and, in many ways, more powerful. Discussions at A-Team Group’s recent TradingTech Briefing New York revealed...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...