Iris
Investor Relations Integrated Solutions — AI-driven communication, reporting, and engagement for IR teams.
The Problem
Investor relations teams struggle to maintain consistent, personalized communication with large investor bases. Manual reporting is time-intensive, and teams lack visibility into investor sentiment and engagement.
The Solution
Iris automates investor communications while personalizing content based on investor profiles and interests. AI-powered analytics provide insights into engagement patterns and sentiment trends.
How it was built
Map → Model → Make → Monitor
Map
Interviewed IR teams from startups to public enterprises. Mapped the investor communication lifecycle from quarterly reports to ad-hoc inquiries.
Model
Designed a platform combining CRM-like investor profiles with AI content generation and sentiment analysis. Architecture supports both email and report generation with consistent voice.
Make
Built with Next.js and Node.js backend, integrating with common IR tools and financial data providers. Custom NLP models for financial sentiment analysis.
Monitor
Tracking engagement rates, time saved on reporting, and investor sentiment trends. A/B testing communication strategies to optimize engagement.
Why this matters
Strong investor relationships are built on consistent, transparent communication. Iris helps companies maintain these relationships at scale.
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