Key Takeaways:
- Q4 Inc. has been named "Best in AI for Finance & Banking" in the Global AI Awards
- The company’s IR-focused AI and AI agent, Q, help investor relations teams streamline workflows and strengthen valuations
- Q4’s platform supports critical IR workflows, including earnings preparation, investor engagement, and shareholder analysis
- The company has received numerous accolades, including recognition in the American Business Awards and a 2025 Total Economic Impact study showing 212% ROI
- Q4’s AI-powered platform is used by over 2,600 public companies, including half of the S&P 500
Introduction to Q4’s Award-Winning AI
Q4 Inc., a leading provider of AI-driven IR Ops software, has been recognized as a winner in the inaugural Global AI Awards, a program honoring excellence in artificial intelligence. The company earned top recognition in the "AI in finance & banking" category for its innovative, secure, and agentic AI, which helps public companies target investors more effectively, strengthen financial communications, and support end-to-end investor relations (IR) workflows. As Sirisha Lanka, managing director of the Global AI Awards, noted, "The organizations recognized this year are leaders in shaping the responsible and groundbreaking future of AI… Congratulations to Q4 on its AI leadership in finance and IR: showing how agentic, domain-specific AI can drive smarter decisions and stronger outcomes in capital markets."
The Need for Specialized AI in IR and Finance
IR and finance professionals operate in complex, high-stakes environments where every communication counts, timelines are tight, and the cost of errors is steep. Generic, off-the-shelf AI doesn’t meet the needs of these teams, which require intelligence that understands their workflows, data, and decision-making processes. As Darrell Heaps, founder and chief strategy officer of Q4, explained, "Investor relations teams are under constant pressure to move faster, reduce risk, and deliver clearer insight to leadership and the market." Q4’s AI is purpose-built for investor relations, providing a platform that supports critical IR workflows, including earnings preparation, investor engagement, and shareholder analysis.
Q4’s Innovative AI Agent, Q
At the heart of Q4’s innovation is Q, the industry’s first AI agent built specifically for IR. Acting as an always-on team member, Q helps IR professionals anticipate analyst questions, track investor behavior, generate earnings content, and surface actionable insights in seconds. This frees teams to focus on strategy, not spreadsheets. As the company notes, "Q4 is redefining how public companies operate across the IR lifecycle" with its platform, which is trusted by more than 2,600 companies, including half of the S&P 500.
Recognition and Results
The Global AI Awards win adds to a growing list of accolades for Q4. In 2025, the company was honored in the American Business Awards in the best "New Product: Financial Services" and best "New Technology: AI Solution: Financial" categories. A 2025 Total Economic Impact study conducted by Forrester Consulting on behalf of Q4 showed that the company’s AI-powered platform delivered 212% ROI. This recognition demonstrates the effectiveness of Q4’s AI in driving smarter decisions and stronger outcomes in capital markets.
About Q4 Inc.
Q4 Inc. is the leading provider of IR Ops software, with the world’s largest set of proprietary investor data. The company’s platform is powered by Q, the industry’s first AI-powered IRO Agent, and boasts applications for website and event management, engagement analytics, and overall lifecycle management. Q4 delivers the data, insights, and workflows that give IR teams the power to focus on what really matters: strategy, relationships, and driving premium valuations for their companies. Headquartered in Toronto, with offices in New York and London, Q4 is a trusted partner to more than 2,600 public companies globally, including many of the most respected brands in the world.
https://finance.yahoo.com/news/q4-wins-ai-finance-banking-130500440.html