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

Quantave Debuts Blockchain Liquidity Infrastructure

Subscribe to our newsletter

Trade life-cycle infrastructure provider Quantave has begun beta testing of a digital assets infrastructure that aims to improve access to liquidity available in digital currencies such as Bitcoin and Ether, according to Paul Gordon, CEO of the company. The volume of digital assets trading can be as much as $2 billion daily worldwide.

“Accessing available liquidity is a convoluted process,” he says. “Consolidating liquidity is a key factor to help it grow. We enable a single on-ramp so our customers can access multiple pools of liquidity. We remove the complexity and put as much as possible under the hood, so the experience looks like any other market access.”

Quantave, established in late 2014, plans to roll out its digital asset infrastructure formally over the next three to six months. Quantave’s infrastructure allows institutional investors to use digital asset management to access liquidity in a manner previously impossible, or that required repetitive onboarding and capital management processes.

“Tried and tested electronic trading methods have evolved over the past few years,” says Gordon. “In essence, we offer a liquidity bridge dedicated to the digital assets market.”

With several digital asset exchanges now operating throughout the world, users previously had to onboard individually with each venue, explains Gordon. Quantave is targeting OTC brokers and broker-dealers for the volume they are sending to these venues, he says. “We’re taking that repetitive onboarding process out of the equation, because by mutualising our platform and trade settlement facility, our customers just have to interface with us and they get the ability of multiple pools of liquidity in terms of broker-dealers that they’re working with.”

Quantave’s effort will serve as a foundation for the use of blockchain and distributed ledger technology for post-trade processes, according to Gordon. “We need to enable people to get exposure to the public blockchain space,” he says. “That infrastructure should resemble existing market infrastructures. Over time, we see the opportunity to transition and mutualise technology as it develops, but we think there will be a gap between that technology and something that is enterprise-grade ready. It’s experimental at this stage.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best Practices for Managing Trade Surveillance

The surge in trading volumes combined with the emergence of new digital financial assets and geopolitical events have added layers of complexity to market activities. Traditional surveillance methods often struggle to keep pace with these changes, leading to difficulties in detecting sophisticated market abuses and increased regulatory risk. To address these challenges, financial institutions are...

BLOG

Bloomberg Launches AI-Powered Research Tool for Terminal Users

Bloomberg has announced the forthcoming release of its Document Search & Analysis solution, an AI-driven research tool designed to streamline how financial professionals interrogate and interpret large volumes of market data and reports. The product is expected to be rolled out to Bloomberg Terminal users by the end of the year. The new tool enables...

EVENT

TradingTech Briefing New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...