Aiviq is a leading cloud-based SaaS business with 30+ customers representing $3.3tn of AUM. Our vision at Aiviq is to fuse machine learning and automation (AI) with human intelligence (IQ) to drive transformation in our industry. Aiviq combines 15+ years of market expertise with world-class software and data engineering talent to deliver aclient data platform that connects, organises, analyses and distributes insights seamlessly.

Data

Information Technology

Software

Aiviq

Aiviq's headquarters in London, United Kingdom

This department focuses on analyzing technical requirements and business needs to support project development.

Technical Analysis

This department focuses on designing, building, and maintaining software applications and systems.

Software Development

The Customer Services Team at Aiviq is dedicated to providing exceptional support and solutions to our clients, ensuring they maximize the value of our cutting-edge SaaS offerings. This team collaborates closely with customers to address their needs, resolve any issues, and gather feedback, while leveraging their expertise in hedge fund operations and product analysis to enhance user experience. By integrating insights from customer interactions, they play a crucial role in driving continuous improvement and innovation within our platform.

Customer Services Team

This department provides expert consultation and advisory services to clients.

Consulting Services

This department focuses on building and maintaining data infrastructure, ensuring data quality, and supporting data-driven decision-making.

Data Engineering

The Engineering Team at Aiviq is responsible for designing and developing the cloud-based SaaS solutions that support the company's vision of integrating AI with human intelligence. They leverage their expertise in software and data engineering to build robust, scalable systems that connect and analyze client data, ensuring seamless delivery of insights to customers. The team collaborates closely on architectural design, software development, and the implementation of machine learning models to drive innovation in the industry.

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Software Development

Customer Services Team

Consulting Services

Data Engineering

Engineering Team