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

smartTrade Launches smart Copilot to Integrate AI in Trading and Payments

Subscribe to our newsletter

Front office and trading software provider smartTrade has announced the introduction of smart Copilot, a new platform that integrates Artificial Intelligence (AI) technology with human expertise to modify functions in smartTrade’s front office payments and trading platforms.

smart Copilot aims to improve trading and client management by using a combination of Large Language Models (LLMs), including technologies such as OpenAI’s ChatGPT, to provide tailored sales assistance and client insights, as well as actionable analytics based on AI and Machine Learning.

The smartTrade community is in the process of exploring various potential applications and integrations for smart Copilot, according to the company. These range from the development of voice-activated trading algorithms to the use of LLMs for advanced market forecasting.

The platform is designed to offer several key features, including enhanced automation capabilities to empower decision-making with data-driven insights, improved client management through tracking interactions, a built-in live translation chat function, automatic generation of client tickets and pricing requests through natural language interactions, and direct delivery of actionable insights to sales and trading teams.

David Vincent, CEO of smartTrade, commented: “smart Copilot represents the next generation of innovation in the payments and trading arena. It’s our answer to the evolving demands of the market, ensuring every interaction is both insightful and personalised.”

Alex Culiniac, CTO of smartTrade, added: “The smart Copilot, developed in the smartTrade R&D labs, is truly innovative. It not only enhances our ongoing efforts to introduce innovative solutions but also prioritises data intelligence in driving decision-making for front office payments and trading.”

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Infrastructure Modernisation, Intelligent Workflows, Data Strategy and More: A Preview of TradingTech Summit London 2026

The conversation around trading technology has become more exacting over the past year. AI is moving into production environments. Data estates are being rationalised and rebuilt. Infrastructure decisions are increasingly shaped by resilience, transparency and regulatory pressure. Against that backdrop, A-Team Group’s TradingTech Summit London 2026 takes place at a time when firms are reassessing...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Entity Data Management Handbook – Fourth Edition

Welcome to the fourth edition of A-Team Group’s Entity Data Management Handbook sponsored by entity data specialist Bureau van Dijk, a Moody’s Analytics company. As entity data takes a central role in business strategies dedicated to making the customer experience markedly better, this handbook delves into the detail of everything you need to do to...