About a-team Marketing Services
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: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

BMLL and SIGMA AI Partner to Benchmark Live Market Flow Against Historical Order Book Data

BMLL and SIGMA AI have announced a partnership combining BMLL’s historical Level 3, 2 and 1 order book data with SIGMA’s “Quant in the Cloud” streaming platform, producing an analytics layer that scores live market flow against historical benchmarks. The stated use cases are real-time anomaly detection, market regime classification and execution benchmarking, with anticipated...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...