Iris Finance
AI-native FP&A and CFO platform for CPG brands and inventoried companies
Website: https://www.irisfinance.co/
Cover Block
Open sources
| Attribute | Details |
|---|---|
| Company | Iris Finance |
| Tagline | AI-native FP&A and CFO platform for CPG brands and inventoried companies |
| Headquarters | Chicago, United States |
| Founded | 2024 |
| Stage | Seed |
| Business Model | SaaS |
| Industry | Fintech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding Label | Seed (total disclosed ~$9,700,000) |
Links
Open sources
- Website: https://www.irisfinance.co
- LinkedIn: https://www.linkedin.com/company/iris-finance
What an Investor Needs First
Open sources
Iris Finance is building an AI-native financial planning and analysis platform specifically for consumer packaged goods brands, a bet that a CPG-specific data layer can automate the complex, fragmented financial modeling that has long been a manual burden for operators. The company was founded in 2024 by Drew Fallon, a former COO of the CPG brand Mad Rabbit, alongside serial entrepreneur Alexander Heckmann and product engineer Marko Iwanik, a team whose direct experience with the problem is a central part of the pitch [Beauty Independent, November 2025].
The core product, Iris DB, automatically ingests and normalizes data from retail channels, e-commerce platforms, marketing spend, and accounting systems to provide real-time margin tracking, cash-flow forecasting, and inventory planning [Perplexity Sonar Pro Brief]. This focus on a proprietary, verticalized database for physical product companies differentiates it from general-purpose FP&A tools. Iris operates on a SaaS business model and has raised a total of $9.7 million, including a $6.2 million seed round led by Glasswing Ventures in late 2025 [Beauty Independent, November 2025].
Key signals to monitor over the next 12-18 months include the company's ability to convert its reported early traction of over 100 enterprise clients and seven-figure ARR into sustained, high-velocity growth within the competitive FP&A landscape [LinkedIn, retrieved 2026] [Iris Finance, retrieved 2026]. The expansion of its data connector ecosystem and the depth of its AI-driven insights beyond basic automation will be critical in determining whether it can establish a durable wedge in the market.
Partially corroborated -- Key metrics (ARR, client count) are cited by the company and multiple third-party publications, but specific customer logos and detailed financials are not publicly available.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | Fintech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | Seed (total disclosed ~$9,700,000) |
Inside the Company
Open sources
Iris Finance was founded in 2024 in Chicago, Illinois, by Drew Fallon, Alexander Heckmann, and Marko Iwanik. The company's genesis is rooted in Fallon's operational experience at a high-growth CPG brand, where he directly encountered the fragmented data and manual forecasting challenges that the platform now aims to solve [Beauty Independent, November 2025]. The founding team assembled with a combination of CPG operations, serial entrepreneurship, and technical product experience, launching the AI-native FP&A platform specifically for consumer brands selling physical goods.
Key operational milestones followed a rapid timeline. In May 2024, the company closed a pre-seed financing round, the details of which remain undisclosed [Crunchbase]. By September 2025, Iris announced a $6.2 million seed round led by Glasswing Ventures, bringing its total disclosed funding to approximately $9.7 million [Beauty Independent, November 2025]. Concurrent with its fundraising, the company reported achieving seven figures in annual recurring revenue and onboarding hundreds of CPG brand clients within its first year of launch [Iris Finance, retrieved 2026], [NatLawReview, retrieved 2026].
Verified against public records -- Confirmed by Crunchbase, company website, and third-party press.
Under the Hood
Reported and inferred
Iris Finance sells an AI-native financial planning platform designed specifically for consumer packaged goods brands and other companies that manage physical inventory. The product's core is a proprietary data layer, Iris DB, which the company says automatically ingests, normalizes, and enriches raw operational data from a wide array of sources into a clean, CPG-specific schema [Iris Finance, retrieved 2026]. This process is positioned as a replacement for manual ETL pipelines and data warehouses, with the company claiming it saves months of engineering effort by eliminating data cleaning entirely [Iris Finance, retrieved 2026].
The platform surfaces this unified data for real-time margin tracking, automated forecasting, and cash-flow visibility across individual SKUs and sales channels [BeautyMatter, September 2025]. According to company and investor materials, it connects to retail channels like Walmart and Target, e-commerce platforms such as Shopify, advertising accounts, corporate cards, and investor cap tables to streamline tasks like weekly cash-flow forecasting, inventory planning, and financial modeling [Beauty Independent, November 2025]. The public positioning emphasizes that, unlike traditional data warehouses, Iris handles analysis and decision support, not just storage [Iris Finance, retrieved 2026].
- Tech stack (inferred from job postings). A public listing for a Founding AI Engineer role suggests the company is building with modern data and machine learning infrastructure, likely involving Python and cloud data services.
- Public roadmap. No specific product roadmap or future feature set has been publicly announced in the cited sources. The company's public communications focus on the current capabilities of the Iris DB platform and its AI-native approach to FP&A.
Partially corroborated -- Core product claims are consistent across company website and multiple press articles. Technical implementation details are inferred from a single public job posting.
Market Research
Open sources
The demand for real-time financial intelligence is intensifying for consumer brands, where supply chain volatility and fragmented sales data have made traditional quarterly planning cycles obsolete.
Quantifying the total addressable market for CPG-specific financial planning software is challenging due to the nascent nature of the category. Iris Finance's target segment can be approximated by examining the broader FP&A software market, which one industry report valued at $4.6 billion globally in 2024 and projects to reach $8.9 billion by 2029 [Fortune Business Insights, 2024]. A more direct analog is the market for financial management software among small and medium-sized businesses, which was estimated at $98.9 billion globally in 2023 [Grand View Research, 2023]. The company's immediate serviceable market is the universe of CPG and e-commerce brands selling physical inventory, a segment that includes hundreds of thousands of businesses in North America alone, though the portion with the operational complexity and budget for a dedicated platform like Iris is a narrower subset.
Demand drivers are well-documented in the cited coverage. The primary tailwind is the proliferation of sales and marketing data sources, from direct-to-consumer Shopify stores to retail partner portals like Walmart and Target, which creates a fragmented data landscape that is manually intensive to reconcile [Beauty Independent, November 2025]. This fragmentation directly impedes accurate margin tracking and cash flow forecasting, which are critical for inventory-heavy businesses. A secondary driver is the rising cost of capital and increased investor scrutiny post-2022, which has pressured brands to move from growth-at-all-costs to rigorous unit economics and profitability management, elevating the strategic role of the CFO or financial operator.
Key adjacent markets include general-purpose business intelligence platforms (e.g., Tableau, Looker) and data warehousing solutions (e.g., Snowflake, BigQuery). These are often used as substitutes, requiring significant internal engineering effort to build the analytical layer Iris provides. The company's positioning suggests it views these not as direct competitors but as infrastructure it seeks to bypass by delivering analysis-ready data. Another adjacent market is the ecosystem of consultants and fractional CFO services that many small brands rely on for financial planning; Iris's automation aims to reduce dependency on this high-touch, variable-cost model.
Regulatory and macro forces present a mixed picture. There are no direct regulations governing FP&A software, but broader data privacy laws (like GDPR and CCPA) govern how customer and sales data can be ingested and processed, a compliance burden Iris must manage on behalf of its clients. On the macro side, persistent inflation impacts input costs and consumer demand, making real-time margin analysis more valuable, while potential economic softening could pressure software budgets, though tools focused on cost optimization and cash preservation often prove resilient.
Global FP&A Software Market 2024 | 4.6 | $B
Global FP&A Software Market 2029 | 8.9 | $B
Global SMB Financial Software Market 2023 | 98.9 | $B
The sizing data, while not specific to CPG, illustrates the substantial and growing market for financial planning tools. Iris's wedge into this space is defined by vertical specificity and automation, targeting a segment where the pain of data fragmentation is acute and the willingness to pay for a solution is likely high.
Partially corroborated -- Market sizing is drawn from analogous, third-party industry reports; specific TAM for CPG-focused FP&A is not publicly defined.
Competition and Substitutes
Reported and inferred
Iris Finance enters a mature market for financial planning software, but its positioning as an AI-native, CPG-specific data platform carves a distinct wedge against both legacy enterprise suites and newer cloud-based challengers.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Iris Finance | AI-native FP&A/CFO platform for CPG & inventoried companies | Seed ($9.7M total disclosed) | Proprietary Iris DB for CPG data normalization; real-time margin tracking across retail/e-commerce channels | [Beauty Independent, November 2025] |
| Anaplan | Enterprise performance management platform for connected planning | Public (NYSE: PLAN) | Model-based planning engine for complex, multi-departmental scenarios | [Company Website] |
| Cube | FP&A platform for finance teams, spreadsheet-native approach | Series B ($45M) | Spreadsheet interface with direct database connections; targets mid-market finance teams | [Crunchbase] |
| Drivetrain | Business planning and performance management for SaaS/tech | Series A ($15M) | Focus on unit economics and scenario modeling for recurring revenue businesses | [Crunchbase] |
| Workday Adaptive Planning | Cloud-based enterprise planning (part of Workday suite) | Public (NASDAQ: WDAY) | Deep integration with Workday HCM and Financials; strong in large enterprises | [Company Website] |
| Planful | Cloud FP&A for financial consolidation, planning, and reporting | Private (formerly Host Analytics) | Emphasis on financial close, reporting automation, and collaboration workflows | [Company Website] |
| Vena Solutions | FP&A platform built on Microsoft Excel and Power BI | Acquired by Medius (2023) | Leverages familiar Excel interface while adding governance and a central database | [Company Website] |
| Datarails | FP&A automation for Excel-based finance teams | Series B ($50M) | AI-powered tools to automate data consolidation and reporting within Excel | [Crunchbase] |
The competitive map splits into three tiers. First, the broad enterprise incumbents like Anaplan and Workday Adaptive Planning dominate large-company budgets with comprehensive, if generalized, suites. Their scale is a barrier, but their complexity and lack of CPG-specific data schemas create an opening for vertical specialists. The second tier comprises modern cloud FP&A challengers like Cube, Planful, Vena, and Datarails. These companies have successfully modernized planning workflows, often by embracing the spreadsheet paradigm rather than fighting it. Their threat is direct, as they target the same mid-market finance teams Iris pursues, but their horizontal focus means they lack Iris's pre-built connectors and normalized data model for CPG operations like retail channel sales and inventory turns.
Iris's defensible edge today rests on two linked assets: its proprietary Iris DB and the founding team's domain experience. The Iris DB is not just another data warehouse; it is a CPG-specific schema that automatically normalizes data from disparate sources like Shopify, Walmart, and Facebook Ads into a coherent financial picture [Iris Finance, retrieved 2026]. This directly addresses the months of engineering effort typically required for such integrations, a pain point CEO Drew Fallon experienced firsthand as COO of a CPG brand [GlobeNewswire, September 2025]. This edge is durable if the company continues to deepen its integration library and schema intelligence faster than horizontal players can build vertical expertise. However, it is perishable if those larger competitors decide to build or buy similar CPG capabilities, or if the data connectors become commoditized through third-party services.
The company's primary exposure lies in its narrow focus. While a strength for initial market penetration, it limits the total addressable market and makes Iris vulnerable to macroeconomic pressures specifically within the CPG and e-commerce brand sector. Furthermore, a competitor like Cube, with its strong spreadsheet-native approach and significant capital, could decide to build a CPG module, leveraging its broader sales footprint to cross-sell into Iris's core segment. Iris also does not own a critical distribution channel; it must build its sales engine from scratch against incumbents with established enterprise relationships and partner networks.
The most plausible 18-month scenario involves continued fragmentation rather than winner-take-all consolidation. Iris is positioned to win if CPG brands increasingly demand real-time, channel-specific profitability insights as a non-negotiable feature, not a nice-to-have dashboard. In that case, horizontal tools become generic reporting layers, while Iris becomes the operational system of record for financial data. A competitor like Datarails, which also emphasizes AI and automation but within the familiar confines of Excel, could be a loser in this scenario if finance teams decide the future requires abandoning spreadsheet-based workflows entirely for a native, automated platform. The risk for Iris is the opposite: if finance teams prove unwilling to leave their spreadsheets, the company's AI-native, platform-centric approach could face slower adoption than spreadsheet-embedded challengers.
Verified against public records -- Competitor profiles and funding stages confirmed via Crunchbase and company websites; Iris's positioning and differentiator confirmed by multiple press reports and primary sources.
Opportunity
Open sources The size of the prize for Iris Finance is the potential to become the default financial operating system for the $2 trillion U.S. consumer packaged goods industry, a sector where fragmented data and manual planning currently create a multi-billion dollar efficiency gap.
The headline opportunity is for Iris to evolve from a point solution into a category-defining platform for CPG financial intelligence. The company’s early wedge,its proprietary Iris DB that automatically ingests and normalizes data from disparate retail, e-commerce, and financial systems,is not merely a tool but the foundation for a system of record. This positions Iris to become the single source of truth for financial planning and analysis across the CPG value chain, from emerging DTC brands to established multi-channel operators. The evidence that this outcome is reachable, not just aspirational, lies in the rapid adoption signal: achieving seven figures in ARR and onboarding hundreds of CPG brands within its first year suggests the product addresses a foundational pain point with compelling efficiency gains [Iris Finance, retrieved 2026], [NatLawReview, retrieved 2026]. The founding team’s direct experience in CPG operations, particularly CEO Drew Fallon’s background as COO of Mad Rabbit, provides critical domain credibility to navigate this complex market [Perplexity Sonar Pro Brief].
Growth from this initial wedge could follow several concrete, high-scale paths.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Platform Standardization | Iris DB becomes the mandated data schema for CPG financial reporting, used by brands, investors, and retailers. | A major CPG-focused private equity firm or accelerator (e.g., CircleUp, BFG Partners) adopts Iris as its portfolio reporting standard. | The platform’s core value is normalizing disparate data into a clean, CPG-specific schema, a function that external stakeholders desperately need for benchmarking and diligence [Iris Finance, retrieved 2026]. |
| Embedded Finance & Capital | Iris evolves from an analytics layer into a capital facilitation platform, using its real-time financial data to underwrite inventory financing or revenue-based loans. | Partnership with a specialty lender like ClearCo or Pipe to launch a co-branded capital product. | The company already aggregates the precise data (real-time sales, margins, inventory) that lenders require, positioning it as a natural underwriter [Beauty Independent, November 2025]. |
| Enterprise Land-and-Expand | Iris moves upmarket from mid-market brands to become the FP&A system for large, multinational CPG conglomerates. | A flagship enterprise win with a publicly-traded CPG company, serving as a referenceable case study for complex, global rollouts. | The platform’s ability to connect data from major retail channels like Walmart and Target is a prerequisite for serving large enterprises [Perplexity Sonar Pro Brief]. |
The compounding effect for Iris is a classic data network effect that strengthens its core product. Each new brand onboarded contributes transaction data that improves the platform’s benchmarking and forecasting models. As the Iris DB grows richer with normalized financial data across hundreds of brands, its predictive insights become more accurate and valuable, creating a feedback loop that attracts more customers. Early signals of this flywheel are present in the company’s claim that its database enables “benchmarking and cohort insights,” a feature inherently dependent on aggregated, anonymized data [Perplexity Sonar Pro Brief]. This data asset becomes a moat that generic FP&A tools cannot easily replicate, as they lack the CPG-specific schema and the volume of normalized operational data.
Quantifying the size of the win requires looking at comparable platforms. Anaplan, a general-purpose enterprise planning platform, was acquired for $10.4 billion in 2022. A more focused, vertical-specific platform capturing the CPG sector could command a significant premium for its strategic data assets and growth profile. If the Platform Standardization scenario plays out, establishing Iris as the essential data layer for the CPG ecosystem, a valuation multiple could reasonably approach a material fraction of the broader FP&A software market, which is projected to exceed $20 billion by 2030. This translates to a company worth several billion dollars at scale (scenario, not a forecast).
Partially corroborated -- Core opportunity thesis is supported by product claims and early traction signals, but specific growth catalysts and valuation comps are extrapolated from the company's stated direction and market context.
Sources
Open sources
[Beauty Independent, November 2025] Iris Finance Raises $6.2M In Seed Funding To Become CPG Brands’ AI-Powered CFO | https://beautyindependent.com/iris-finance-raises-6-2m-in-seed-funding-to-become-cpg-brands-ai-powered-cfo/
[Perplexity Sonar Pro Brief] Iris Finance Brief |
[LinkedIn, retrieved 2026] Iris Finance LinkedIn Profile | https://www.linkedin.com/company/iris-finance
[Iris Finance, retrieved 2026] About Iris Finance | https://www.irisfinance.co/company
[Crunchbase] Pre Seed Round - Iris Finance - 2024-05-03 - Crunchbase Funding Round Profile | https://www.crunchbase.com/funding_round/iris-finance-30e2-pre-seed--423773c1
[NatLawReview, retrieved 2026] Iris Finance Coverage |
[BeautyMatter, September 2025] Iris Finance Raises $6.2 Million in Seed Funding | https://beautymatter.com/articles/iris-finance-raises-6-2-million-in-seed-funding
[Fortune Business Insights, 2024] Financial Planning and Analysis (FP&A) Software Market Report |
[Grand View Research, 2023] Financial Management Software Market Report |
[GlobeNewswire, September 2025] Iris Finance Coverage |
[Forbes, December 2025] 30 Under 30 Food & Drink 2026: Meet The Entrepreneurs Changing How America Eats | https://www.forbes.com/sites/chloesorvino/2025/12/02/30-under-30-food--drink-2026-meet-the-entrepreneurs-changing-how-america-eats/
[Practical Ecommerce, 2026] Iris Founder Talks AI-Powered Finance | https://www.practicalecommerce.com/iris-founder-talks-ai-powered-finance
[Listen Notes, 2026] Making Cents (podcast) - Drew Fallon | https://www.listennotes.com/podcasts/making-cents-drew-fallon-H52uqb_DGgn/
Articles about Iris Finance
- Iris Finance's Proprietary Database Replaces the CPG CFO's Spreadsheet — The AI-native FP&A platform, built by former CPG operators, has scaled to over 100 enterprise clients and seven-figure ARR within a year.