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How it Works

Smarter Investor Engagement in Three Simple Steps

From Data to Insights—Instantly

Investor relations is built on trust, accuracy, and efficiency—but traditional methods often fall short. Executives and IR teams spend countless hours answering the same investor questions, while stakeholders struggle to find relevant company information buried in lengthy filings and databases.

answIR transforms this process in a proprietary way. Using advanced AI and Natural Language Processing (NLP), answIR ingests vast amounts of publicly available data, learns from it based on decades of IR industry expertise, and delivers instant, accurate answers to investors, analysts, and media.

With answIR, companies enhance investor engagement, reduce costs, and free up IR teams to focus on high-value initiatives.

The answIR Process

Ingest

answIR collects and organizes data typically found on SEDAR, EDGAR, and corporate websites.

Learn

Our AI-powered NLP model is specially trained to understand and structure the information.

Refine

Clients train their AI agent on tone, knowledge, and when to escalate to IR personnel.

Chat

Users receive fast, context-aware answers in an intuitive, conversational interface.

Customer Dashboard

Actionable Insights at Your Fingertips

The answIR Customer Dashboard provides a real-time view of how investors engage with your company. Designed for clarity and efficiency, this dashboard offers valuable analytics to help Investor Relations Officers (IROs) and executives optimize engagement, track trends, and measure impact.
  • Conversation Analytics: – See how investors interact with the chatbot, including top questions asked, response accuracy, and engagement trends.
  • Lead Generation & Investor Interest: – Identify potential investors and track inquiries that signal deeper engagement.
  • User Demographics & Location Insights: – Understand where investors are connecting from and how they interact with your content globally.
  • Engagement Metrics: – Track investor behavior over time, such as return visits, session durations, and interest in specific topics.
  • Chatbot History & Conversation Logs: – Review past interactions to improve chatbot responses, ensure accuracy, and maintain compliance.
  • Feedback & Sentiment Analysis: – Gain insights into investor sentiment based on chatbot interactions and feedback submissions.
  • Account Management & Customization: – Manage certain account information, AI agent settings, and investor-facing content with ease.