GrowthPal Secures $2.6M to Revolutionize M&A Deal Sourcing with AI

Singapore-based GrowthPal has secured $2.6 million in new funding to address one of the most inefficient and opaque aspects of mergers and acquisitions: deal origination. The investment round was led by Ideaspring Capital, with contributions from a group of global angel investors. GrowthPal will use the capital to expand its AI-powered platform into the U.S. and other international markets.

As acquisitions become increasingly vital to corporate growth strategies, the company offers an alternative to traditional, relationship-driven M&A sourcing methods. It replaces manual research and banker introductions with structured intelligence and data-driven analysis.

Why Deal Sourcing Remains a Bottleneck

Although M&A activity fluctuates with market cycles, the process of sourcing deals—especially in the mid-market segment—has seen little innovation. Corporate development teams still depend heavily on investment banks, personal networks, and static data platforms to find potential targets. This often restricts buyers to publicly marketed opportunities, leaving high-quality off-market deals undiscovered.

This issue is particularly challenging for transactions under $70 million, which typically fall outside the focus of large advisory firms. For lean corporate development teams tasked with driving efficient growth, the current approach can be slow, resource-heavy, and unpredictable.

GrowthPal was created to bridge this gap. Rather than delivering lengthy lists of loosely matched companies, its platform helps teams pinpoint a select group of high-fit, high-intent targets that align with specific strategic objectives.

Turning Strategy Into Action With AI

Central to GrowthPal’s solution is an AI-powered M&A copilot that transforms a buyer’s growth goal—whether entering a new market or acquiring specific capabilities—into a structured acquisition thesis. AI agents then analyze an enriched database of over four million tech companies, drawing on signals from public filings, hiring trends, funding history, web activity, and industry developments.

The result is a curated list of precision-matched targets, many of them off-market, enabling buyers to progress from strategy to outreach within days instead of months. The company emphasizes that this focus on intent and contextual relevance saves teams weeks of manual screening and unproductive discussions.

“M&A sourcing is where a disproportionate amount of time and effort is wasted,” stated Maneesh Bhandari, co-founder and CEO of GrowthPal. “Our goal is to help teams focus only on opportunities that truly matter, allowing them to spend more time building conviction and less time chasing dead ends.”

Bridging the Exit Gap for Smaller Companies

The platform also addresses a broader structural challenge in the startup ecosystem. While over a million significant startups operate worldwide, only a small percentage successfully scale or achieve timely exits. Many promising companies struggle to connect with suitable strategic partners, while potential acquirers lack visibility into appropriate targets.

GrowthPal serves as a link between these two groups, enabling proactive and discreet engagement. To date, the company has supported more than 42 completed M&A transactions and facilitated over 210 conversations at the LOI stage across North America, Europe, Asia, and Latin America. Its clients include large enterprises, mid-market companies, private equity-backed firms, and high-growth startups in sectors such as SaaS, fintech, IT services, and vertical software.

How AI Is Reshaping M&A More Broadly

GrowthPal’s methodology reflects a broader transformation taking place in the M&A industry. As data availability grows, the key challenge shifts from accessing information to synthesizing signals, context, and intent into actionable intelligence. AI is increasingly used to accelerate timelines, uncover hidden patterns, and reduce over-reliance on intuition.

From deal sourcing and due diligence to valuation modeling and integration planning, AI is starting to redefine how acquisitions are identified and executed. These systems are not replacing human judgment but enhancing it—empowering smaller teams to operate with greater speed and accuracy in a competitive landscape.

As acquisitions remain a cornerstone of corporate growth, platforms that bring clarity and structure to early-stage decision-making are poised to become essential components of the modern M&A toolkit.