What is Iris?
Iris operates as an AI-native CFO platform specifically engineered for inventoried companies. By leveraging a proprietary CPG-focused database, the platform provides real-time margin tracking, automated forecasting, and granular cohort insights. Unlike generic accounting software, Iris is built to address the unique volatility of physical product sales, enabling brands to maintain precise control over their financial health. Its market position is defined by its ability to transform raw transactional data into actionable strategic intelligence, effectively acting as an automated financial partner for scaling brands.
How much funding has Iris raised?
Iris has raised a total of $6.2M across 1 funding round:
Seed
$6.2M
Seed (2025): $6.2M with participation from Hyde Park Angels, Revolution, Glasswing Ventures, Rosecliff Ventures, Founder Collective, and Barrel Venture Partners
Key Investors in Iris
Hyde Park Angels
Hyde Park Angels is a venture capital group founded in 2007 and based in Chicago, IL, which focuses on angel investments.
Revolution
Revolution is a venture capital firm that invests in transformative technologies and iconic destinations, supporting entrepreneurs who are redefining possibilities.
Glasswing Ventures
Glasswing Ventures invests in visionary, early-stage founders who are leveraging AI and frontier technology to transform enterprise and security markets.
What's next for Iris?
With this major strategic investment, Iris is well-positioned to accelerate its product roadmap and expand its footprint within the enterprise sector. The company is expected to focus on deepening its AI capabilities, particularly in predictive analytics and automated benchmarking, to further differentiate its offering in a crowded fintech landscape. As the firm scales, the focus will likely shift toward enhancing its proprietary database to provide even deeper industry-specific insights, ensuring that its clients remain competitive in an increasingly complex global supply chain environment. The capital will also likely support talent acquisition and the refinement of its core financial modeling engines.
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