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

QuantHouse Automates Global Operations with Cloud-Based Robot Agents

Subscribe to our newsletter

QuantHouse, a provider of end-to-end systematic trading solutions including market data services, algo trading platform and infrastructure products, has completed the first phase of its infrastructure process automation programme using cloud-based robot agents.

It remains crucial during times of uncertainty and volatility that infrastructures operate reliably, efficiently and have the necessary scale to meet ever-growing volumes and message rates. Introducing increased levels of automation will enable the firm to rapidly add resources to a number of its in-house processes with minimal human intervention, using widely adopted and secure cloud native technologies that deliver automated deployment and monitoring tasks. It should also make it easier for QuantHouse to enter new markets that trade 24/7.

“QuantHouse has been designing and operating its own private low latency cloud for more than 15 years. With the general availability of advanced cloud management technologies, we are now leveraging those proven cloud native solutions to fundamentally review how we manage our operations,” says Chief Operating Officer Emmanuel Carjat. “Using robot agents allows our engineers to spend their time planning for the future while out-tasking standard maintenance and client implementation processes.”

The firm has onboarded a new hedge fund client on average every week over the past 15 months.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes 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...

BLOG

From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers

The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...

EVENT

RepRisk Sustainability Breakfast Roundtable London

The London sustainability breakfast is part of the global roundtable thought leadership event series hosted by RepRisk in key markets, including, New York, Toronto, London, Frankfurt, Oslo, Copenhagen, Stockholm, Hong Kong and Singapore in 2026.

GUIDE

Regulatory Data Handbook 2018/2019 – Sixth Edition

In a testament to the enduring popularity of the A-Team Regulatory Data Handbook, we are delighted to publish a sixth edition for 2018-19 of our comprehensive guide to all the regulations and rules that might impact data and data management at your institution. As in previous editions of the Regulatory Data Handbook, we have updated...