Accenture Bets on Agentic AI with $9M Lead in Profitmind's Series A

PITTSBURGH, PA – February 25, 2026 – Profitmind, a Pittsburgh-based technology firm, has secured $9 million in Series A funding to scale its agentic AI platform designed to transform retail decision-making. The investment round was led by Accenture Ventures, signaling a significant enterprise endorsement for the company's approach to moving beyond data analytics and into automated, actionable intelligence.

The funding round saw participation from new investor Thorndale Farm, Inc., alongside continued support from existing backers Magarac Venture Partners, AI Fund, and Lightscape Partners. AI Fund, a venture studio led by renowned AI pioneer and Profitmind Chairman Andrew Ng, has been a key supporter of the company's vision. The new capital is earmarked for global platform expansion, enhanced product capabilities, and team growth to support a growing roster of retail clients.

The Shift from Data Paralysis to Decisive Action

For years, the retail industry has been inundated with data but starved for clear, timely decisions. Merchandising, planning, and pricing teams often spend days mired in spreadsheets, attempting to reconcile information from siloed systems. This manual, time-consuming process creates a critical lag, leaving retailers perpetually one step behind shifts in consumer demand, competitor pricing, and supply chain costs.

Profitmind was founded to address this pervasive "analysis paralysis." The company's platform is designed to replace these fragmented, manual cycles with a unified system that delivers clear, financially grounded recommendations.

“Retail teams are not short on data, but they are short on time and decision-making confidence,” said Dr. Mark Chrystal, Co-Founder and CEO of Profitmind, in a statement. “This investment allows us to scale a platform that replaces days of manual work with clear, strategy-aligned recommendations teams can act on immediately with predictable outcomes.”

Instead of just presenting dashboards, the platform provides a prioritized set of actions for teams to review at the start of each week. These recommendations can include specific price changes, promotional adjustments, inventory transfers, or assortment shifts, with each suggestion tied to a projected impact on sales, profit, and working capital. Once a decision is approved, it can be exported to the retailer's existing execution tools, with the platform tracking the results to continuously refine its future recommendations.

What is Agentic AI and Why Does It Matter for Retail?

The technology at the heart of Profitmind's solution is agentic AI, an advanced form of artificial intelligence that represents a significant leap from traditional predictive models. Unlike conventional AI that primarily analyzes data or responds to specific commands, agentic systems are designed with a degree of autonomy. They can understand high-level goals, create multi-step plans, and execute tasks to achieve those objectives with minimal human supervision.

This approach is fundamentally different from the rule-based automation or narrow machine learning tools common in the industry. Agentic AI is goal-oriented, not just task-specific. For a retailer, this means the AI can work backward from a strategic objective—like "increase gross margin by 2% without losing market share"—and orchestrate a series of coordinated actions across pricing, promotions, and inventory to achieve it. It adapts in real-time to new information, such as a competitor's surprise sale or a sudden spike in demand for a particular product.

Profitmind's architecture uses a team of specialized AI agents for functions like Price Optimization, Assortment Analysis, and Competitive Intelligence. These agents collaborate, unifying a retailer's internal data with external market signals to produce recommendations that are not only optimized but also explainable, helping build trust with human decision-makers.

The significance of this technological shift is not lost on its backers. “For AI to be useful in large organizations, it has to move beyond dashboards and predictions to support real decisions,” noted Andrew Ng, Profitmind's Chairman. “Under Mark's leadership, Profitmind has built agentic AI to coordinate decisions across teams, which is where much of the economic value sits as companies scale.”

A Strategic Bet by Industry Giants

The decision by Accenture Ventures to lead the Series A round is more than just a financial investment; it's a strategic validation of agentic AI's role in the future of retail. Accenture, a global professional services giant, works with the world's largest retailers on complex transformation projects. This partnership will enable Accenture to help its clients deploy Profitmind's decision intelligence layer on top of their existing technology stacks, accelerating the path to AI-driven operations without requiring a complete system overhaul.

“In retail, AI is reinventing how people shop, how businesses operate and how employees work," said Jill Standish, Accenture’s global retail lead. She noted that merchandising executives are often "overwhelmed by massive amounts of data, reports and spreadsheets, leaving little time for effective decision-making.” Standish added, “Profitmind bridges the gap between insight and action through agentic AI. It mirrors how retailers run their businesses, linking data from multiple sources for clear, prioritized recommendations that can be trusted and executed quickly.”

Further amplifying its enterprise reach, Profitmind recently announced a partnership with Microsoft. The collaboration will bring the platform to the Microsoft Marketplace and make it available on the Azure cloud platform, a move expected in the spring of 2026. This integration is crucial for simplifying enterprise adoption, as it allows the thousands of global retailers already using Microsoft's cloud infrastructure to seamlessly discover, procure, and deploy the solution. The partnership provides a stamp of credibility and ensures the platform has the scalability required to serve the largest players in the market.

The Tangible Impact on the Retail Floor

For retailers, the promise of agentic AI translates into measurable financial and operational gains. By automating the laborious process of data reconciliation and analysis, the platform frees up merchandising and planning teams to focus on strategy rather than spreadsheets. The company reports that its solution has helped clients achieve significant outcomes, including profit improvements of over 250 basis points and savings of hundreds of manual work hours per month. AI Fund, one of its investors, has cited an average profit increase of 14% for retailers using the platform.

The platform's versatility is demonstrated by its adoption across a wide range of retail verticals, including apparel, footwear, auto parts, and home goods. It is currently being used to power mission-critical decisions for businesses ranging in size from $20 million in annual revenue to global enterprises exceeding $100 billion.

By providing a continuous feedback loop where the outcomes of decisions are used to train and improve future recommendations, the system becomes an increasingly intelligent partner for retail teams. This ability to unify strategy with execution and learn from the results is positioning agentic AI not as a replacement for human expertise, but as a powerful tool to augment it, enabling retailers to finally move at the speed of the market.