About a-team Marketing Services
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: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

10 Leading Providers of Cloud Migration, Scalability and Analytics Innovation

The practical evolution of financial technology has shifted from isolated on-premises deployments to highly distributed cloud architectures. This transition is not a sudden revolutionary overhaul but an incremental migration aimed at converting fixed infrastructure costs into variable operational expenses while unlocking computational elasticity. To execute this shift without risking operational downtime or compliance breaches, institutional...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...