Pinegap Nets $8 Mn From Stellaris & Others To Build An Agentic Platform For Market Analysts

AI-driven equity research firm Pinegap has secured $8 million in Series A funding, spearheaded by Stellaris Venture Partners. Existing investors Silicon Valley Quad and DeVC also contributed to the round. The New York-based startup, with a Bengaluru office, plans to leverage the capital to bolster go-to-market and sales efforts, bolster its engineering team, and establish an AI-focused team of former equity research analysts.

Pinegap's flagship product is an agentic AI platform tailored for institutional equity analysts and portfolio managers at hedge funds and mutual funds. This platform automates repetitive tasks like deciphering company disclosures, monitoring earnings calls, and evaluating structural changes. The startup claims to collaborate closely with fund teams to understand their operations and subsequently create customized AI agents fine-tuned to each team's workflow.

To date, Pinegap has deployed over 1,000 agents across more than 100 customers, generating more than 50,000 research reports. According to cofounder and CEO Deepak Sharma, automating workflows enables analysts to dedicate more time to their core strengths: judgment, conviction, and decision-making. The cofounders' paths crossed when Sharma, a former entrepreneur-in-residence at FalconX Gateway, sought to launch his own fund.

The duo then turned to large language models (LLMs) to streamline the repetitive, time-consuming aspects of equity research, ultimately giving birth to Pinegap. This platform is touted as providing buy-side funds with tools they had long desired but lacked during their employment. Prior to this round, Pinegap had raised $2.5 million in a seed round in 2024 from Silicon Valley Quad, Inventus Capital Partners, DeVC, among others.

The focus of Pinegap's offering aligns with a broader trend of entrepreneurs utilizing AI to create new workflows for existing use cases. Numerous startups are developing tools to automate processes across sectors such as healthcare, e-commerce, and marketing to optimize operations and enhance efficiency. Consequently, a substantial portion of AI investments is being channeled towards application-layer ventures.

According to Inc42 data, homegrown AI startups have raised over $1.8 billion between 2020 and 2025, with nearly 80% directed towards application-layer ventures as investors prioritize commercial, use-case-specific outcomes.