GrowthPal haalt $2.6 miljoen op om AI-precisie in te zetten bij het vinden van fusie- en overnamedeals.

Singapore gevestigde GrowthPal is gestegen $ 2.6 miljoen in new funding to tackle one of the most inefficient and opaque parts of mergers and acquisitions: deal origination. The round was led by Ideaspring Kapitaal, with participation from a group of global angel investors, as GrowthPal looks to expand its AI-driven platform across the U.S. and international markets.

At a time when acquisitions are increasingly central to corporate growth strategies, the company is positioning itself as an alternative to traditional, relationship-heavy M&A sourcing models—replacing manual research and banker-led introductions with structured intelligence and data-driven reasoning.

Why Deal Sourcing Remains a Bottleneck

While M&A activity has ebbed and flowed with market cycles, the mechanics of sourcing deals—particularly in the mid-market—have remained largely unchanged. Corporate development teams still rely heavily on investment banks, personal networks, and static data platforms to identify potential targets. As a result, buyers are often limited to in-market deals, while high-quality off-market opportunities remain hidden.

This challenge is especially acute for transactions under $70 million, which frequently fall below the priority threshold for large advisory firms. For lean corporate development teams under pressure to deliver growth efficiently, the process can be slow, resource-intensive, and uncertain.

GrowthPal was built to address this gap. Instead of presenting broad lists of loosely relevant companies, its platform aims to help teams identify a small number of high-fit, high-intent targets aligned with specific strategic goals.

Turning Strategy Into Action With AI

At the core of GrowthPal’s approach is an AI-powered M&A copilot that translates a buyer’s growth objective—such as entering a new geography or acquiring a specific capability—into a structured acquisition thesis. From there, AI agents analyze an enriched dataset of more than four million technology companies, drawing on signals such as public filings, hiring patterns, funding history, web activity, and sector trends.

The outcome is a short list of precision-fit targets, many of which are off-market, allowing buyers to move from strategy to outreach in days rather than months. According to the company, this focus on intent and contextual relevance helps teams avoid weeks of manual filtering and unproductive conversations.

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

Bridging the Exit Gap for Smaller Companies

The platform also speaks to a broader structural issue in the startup ecosystem. While more than a million meaningful startups exist globally, only a small fraction successfully scale or achieve timely exits. Many viable companies struggle to find the right strategic partners, while potential acquirers lack visibility into suitable targets.

GrowthPal positions itself as a connective layer between these two sides, enabling proactive and discreet engagement. To date, the company says it has supported more than 42 completed M&A transactions and facilitated over 210 LOI-stage conversations across North America, Europe, Asia, and Latin America. Its client base spans large enterprises, mid-market companies, private equity-backed firms, and fast-growing startups across sectors including SaaS, fintech, IT services, and vertical software.

How AI Is Reshaping M&A More Broadly

GrowthPa’s approach reflects a wider shift underway in the M&A industry. As data volumes explode, the challenge is no longer access to information but the ability to synthesize signals, context, and intent into actionable insight. AI is increasingly being applied to compress timelines, surface hidden patterns, and reduce reliance on intuition alone.

From deal sourcing and diligence to valuation modeling and integration planning, AI is beginning to reshape how acquisitions are identified and executed. Rather than replacing human judgment, these systems are augmenting it—helping smaller teams operate with greater speed and precision in a competitive environment.

As acquisitions continue to play a central role in corporate growth, platforms that can bring clarity and structure to early-stage decision-making are likely to become an essential part of the modern M&A toolkit.