Q4 launches Knowledge Base for investor relations teams
Mon, 15th Jun 2026 (Today)
Q4 has launched Knowledge Base for investor relations and finance teams as part of a broader update to its platform.
The feature lets teams upload and organise approved company materials so AI-assisted workflows can draw on internal documents, forecasts, strategy papers and other reference sources. The aim is to reduce the manual work involved in gathering information for earnings preparation, investor communications and other investor relations tasks.
Investor relations teams often work across multiple systems, documents and datasets when preparing market messaging. That can create delays and increase the risk of inconsistent outputs when staff use general-purpose AI tools without company-specific context.
Knowledge Base sits behind Q, the AI engine within the Q4 platform. Teams can use it to create a reusable layer of internal information that the system can reference in future interactions, including organisational structures, guidance materials, perception studies, research reports and expert analysis.
According to Q4, the feature is intended to support continuity across earnings preparation, investor engagement and strategic communications. It is also designed to reduce repeated prompting and help maintain consistency in messaging, tone and disclosures.
Broader AI update
The launch comes alongside other changes to the platform's AI tools for investor relations. These include deeper domain knowledge for investor targeting and peer benchmarking, more structured financial analysis within Q, tighter data provenance and metric controls, and direct links in generated outputs to platform activities, contacts and institutions.
The additions are intended to make investor relations workflows more connected within a single system rather than spread across separate tools. Q4 provides software to more than 2,600 public companies worldwide, including McDonald's, Netflix and Visa.
Darrell Heaps, Founder and Chief Strategy Officer at Q4, said the update is aimed at reducing fragmentation in the day-to-day work of investor relations teams.
"IR teams shouldn't have to piece together critical workflows across disconnected systems," said Darrell Heaps, Founder and Chief Strategy Officer at Q4. "Our latest platform enhancements are designed to eliminate systemic inefficiencies and give teams a more unified, intelligent operating environment - so IR pros can spend less time acting as administrators and more time operating strategically, with greater continuity, context and control."
European infrastructure
Alongside the AI changes, Q4 is introducing dedicated EU data residency infrastructure for customers operating in Europe. The move is intended to help organisations manage regional data handling requirements while keeping investor relations workflows within the same platform.
The European update also includes expanded investor intelligence and shareholder workflow tools. These features are designed to improve visibility into ownership changes, market activity and shareholder behaviour across the region.
Other additions include regional processing for sensitive investor relations platform data within the EU, support for European regulatory requirements, and greater control over AI-assisted workflows intended to operate within regional compliance frameworks and procurement needs.
Q4 has also added new contact refresh functions for Europe, including more than 100,000 new EU contacts. This is intended to support regional targeting and shareholder reporting without forcing teams to use separate external systems.
Workflow focus
The product changes reflect a broader push among software vendors to tailor AI systems to specialist corporate functions rather than rely on generic assistants. In investor relations, that often means tying AI outputs to approved materials, financial data and disclosure processes that can withstand scrutiny during earnings periods and market engagement.
For finance and investor relations teams, the issue is less about producing first drafts than controlling the source material behind them. Q4's approach centres on keeping institutional knowledge in one place so AI-generated analysis and communications are based on documents already approved for internal use.
Q4 said the Knowledge Base feature allows teams to personalise how Q responds by supplying business-specific information that can be retained and referenced in later tasks. Examples include organisational charts and other company reference materials used to shape future drafts and AI-assisted outputs.
The overall package is intended to give investor relations teams greater context, intelligence and control across critical activities while reducing the administrative work involved in preparing and maintaining communications with the investment community.