GrowthPal Announces $2.6 Mn Funding to Enhance its AI-Driven M&A Copilot

GrowthPal, a platform for matchmaking in mergers and acquisitions (M&A), has announced a $2.6 million funding round to enhance its AI-driven M&A copilot for deal sourcing and execution. 

The funding round was led by Ideaspring Capital, with participation from notable angel investors from around the globe. This new investment will facilitate product development and broaden GrowthPal’s reach into international markets as the demand for quicker, more systematic strategies for inorganic growth increases.

“M&A sourcing is where most time and effort is wasted, especially for smaller and mid-market deals,” Maneesh Bhandari, co-founder and CEO of GrowthPal, said in the press release. “Teams spend weeks researching, filtering and chasing opportunities that never go anywhere. We built GrowthPal to help buyers focus only on high-intent, high-fit targets and move from mandate to meaningful conversations far faster.”

GrowthPal’s platform serves as an intelligent M&A assistant. When a buyer sets a growth goal, such as acquiring a specific capability or entering a new market, the system converts it into a structured acquisition thesis.

Its AI agents analyse a vast database of over four million technology companies, using signals from public documents, online activity, hiring trends and funding history. This results in a targeted list of off-market firms closely aligned with the buyer’s criteria.

According to the company, GrowthPal has supported over 42 completed M&A transactions and facilitated more than 210 LOI discussions across North America, Europe, Asia and Latin America. Clients range from large enterprises to fast-growing startups and private equity-backed firms in sectors such as IT services and fintech. One client closed seven acquisitions within 18 months using the platform, it said. 

“GrowthPal is solving one of the most under-optimised parts of the M&A lifecycle,” said Naganand Doraswamy, managing partner at Ideaspring Capital. “By focusing on qualified deal discovery and using AI to compress timelines, the team is enabling a more systematic approach to inorganic growth that traditional tools cannot offer.”

GrowthPal intends to enhance its intelligence across the transaction lifecycle, focusing on valuation, deal structuring and negotiation preparation. The long-term goal is to empower teams to make better M&A decisions earlier and with greater confidence, from discovery through to execution.

M&A teams are increasingly pressured to do more with fewer resources. Inorganic growth relies on timing, context and accessibility. However, originating M&A deals from mid-market and early-stage companies has changed little over the years, still relying on banker networks and static databases.

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