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

A-Team Insight Blogs

TMX Group Acquires Verity to Expand Global Investment Data and Analytics Offering

Subscribe to our newsletter

TMX Group has acquired Verity, a provider of buy-side investment research management systems, data, and analytics. The deal strengthens the capabilities of TMX Datalinx, the company’s information services division, by broadening its offering across equities, fixed income, and private assets.

Verity’s core products include VerityRMS, a research management system, and VerityData, which delivers datasets and insights centred on public equity filings. These tools provide analytics on insider activity, share buybacks, executive compensation, and institutional holdings.

“Our goal at TMX Datalinx has always been to globalise our offerings based on what our clients need,” says TMX Datalinx President Michelle Tran, in conversation with TradingTech Insight. “That’s why the Verity acquisition is such an excellent strategic fit for us; it addresses this goal through two unique components. Firstly, Verity brings a really valuable data component to the table. It gives us 20 years of high-quality, pristine data from US disclosure filings, which immediately expands our existing Canadian data to give us full North American coverage. From there, our plan is to expand globally. And having that kind of cleansed data is essential for modern applications, especially when you’re talking about AI.

“Secondly, it solves a key challenge for our clients with its workflow management tool, the VerityRMS. The system lets clients integrate their own first-party data – things like emails and memos – with whatever market data they require. The acquisition aligns perfectly with our strategy because it provides both that critical data set and a powerful workflow tool. This combination will help our clients organise their information in an accurate, auditable way, and let them integrate their own data with global sources much more effectively.”

Through the addition of Verity, TMX aims to enhance its support for a global client base. The acquisition is expected to improve clients’ ability to manage and leverage intellectual capital, while integrating advanced data and workflow tools.

“The great thing about Verity is that its platform is very modern,” says Tran. “One of the things that really attracted us to the Verity workflow platform was its UX and UI, its ease of integration and use, and its configurability for their 300 buy-side clients. It also offers a centralised API, similar to Datalinx, which allows clients to digest and use the data in a normalised way. Those API capabilities will require very little effort to integrate into our existing client distribution methods.”

TMX Datalinx intends to continue developing both platforms, with a focus on advancing their artificial intelligence capabilities to improve investment outcomes and operational efficiency.

“Verity have taken a highly practical approach to AI, embedding real-world use cases directly into their products,” notes Tran. “From a Verity Data perspective, they have been able to use AI for operational efficiency, threading together various databases to make the data itself more efficient for clients. And clients can then use whatever AI model they have to implement that.”

She continues: “They also allow clients to use their choice of AI model on the RMS side. For example, if there’s an earnings call for a company in a client’s portfolio, they’ll be alerted and can then ask the system to, for instance, ‘Quickly summarise my analyst’s takeaways and tell me if and how this materially impacts our thesis. It’s impressive how they have been able to leverage this technology to bring their clients along on the AI journey.”

Financial terms of the transaction were not disclosed.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Data Now Front and Centre of Fixed-Income Trading, Bloomberg Forum is Told

As the operations of buy-side traders and their sell-side counterparts increase in complexity, their data needs have surged. Technology that has made it possible to compress the work they do into shorter time scales and with more effective outcomes, requires large volumes of information that is either generated by their own systems or has to...

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Alternative Data in Capital Markets Handbook 2026

Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...