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

FactSet Collaborates with CID to Strengthen AI Capabilities for Clients

Subscribe to our newsletter

FactSet has teamed up with AI software specialist CID to build a joint data lake for the financial services industry. The data lake merges unstructured public web content with FactSet’s structured content sets, along with optional third-party and client content, into vast entity relationship graphs. The aim of the multi-year collaboration is to provide FactSet clients with tools to extract valuable insights from qualitative, unstructured datasets, in turn improving business processes and client interaction.

CID is an AI software innovator headquartered near Frankfurt, Germany, set up in 1997, and offering what the company describes as a ‘thematic intelligence’ platform. Called Affinity, the platform allows asset managers to build better investment solutions by enriching fundamental data with qualitative insights.

“The alliance with CID strengthens our AI capabilities so that clients can benefit from more actionable insights,” says Jonathan Reeve, executive vice president, head of content and technology solutions at FactSet. “The collaboration allows the CID no-code technology to seamlessly integrate with our data feed and API offerings to provide clients with self-service AI at scale.”

Alexander Loerch, managing director at CID, comments: “When qualitative insights mesh with fundamental and unstructured data, incredible things can happen.”

Beyond their initial collaboration, FactSet and CID will continue to work together to release additional AI-related products and services designed to strengthen FactSet’s AI capabilities.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

S&P Global Data via Cloud: Unlocking Real-Time, Scalable Insights with Snowflake and Databricks Delta Sharing

As organisations accelerate their cloud migration strategies to manage growing volumes of structured and unstructured data, demand is rising for secure, real-time, cloud-native access to trusted datasets. Leveraging Snowflake and Databricks Delta Sharing, S&P Global provides a scalable, agile foundation that allows organizations to directly access and query S&P Global and curated third-party datasets without...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...