Pinegap Raises $8 Million Series A to Put Equity Research on Autopilot

Institutional investing runs on research, and research runs on hours — combing through filings, building models, summarising earnings calls and reconciling numbers before a single trade is placed. Pinegap, a startup building AI agents for exactly that grind, has raised $8 million in a Series A round to hand more of those hours to software. The round, announced on 5 August 2026, was led by Stellaris Venture Partners, with participation from existing backers Inventus, Silicon Valley Quad and DeVC.

An AI analyst for the buy side

Pinegap sells custom AI agents to hedge funds, asset managers and institutional research teams. Instead of a one-size-fits-all chatbot, the platform lets each client spin up agents tuned to a particular investment style, proprietary datasets and preferred output formats. An analyst covering banks can build one workflow; a small-cap generalist can build another. The agents take on the repetitive layer of equity research — pulling and normalising data, drafting notes, tracking disclosures and turning raw filings into structured output a human can act on.

According to the company, its platform has deployed more than 1,000 AI agents across over 100 customers, and those agents have generated more than 50,000 research reports to date. The pitch is not that software replaces analysts, but that it clears the mechanical work so analysts can spend their time on judgement — the part markets still pay people for.

Founders and origins

Pinegap was founded in 2024 by Ankit Varmani and Deepak Sharma. The company sits in a fast-growing niche where generative AI meets financial workflows, a segment that has drawn heavy investor interest worldwide as funds look to compress research cycles without expanding headcount. The value proposition is straightforward: research desks are expensive, their output is repetitive, and much of the underlying data is already structured — a near-ideal setting for automation.

Where the money goes

Pinegap plans to use the fresh capital to scale its go-to-market and sales effort, grow its engineering team, and build an in-house bench of former equity research analysts. That last detail is telling. To sell automation to research desks, Pinegap is hiring the very analysts whose work it aims to streamline, betting that domain expertise is what separates a genuinely useful agent from one that merely sounds plausible.

Part of a bigger Indian AI wave

The round lands in the middle of a banner stretch for Indian AI. Indian AI startups raised roughly $1.07 billion in the first half of 2026, up about a third from a year earlier, as investors backed everything from sovereign foundation models to narrow, workflow-specific tools. Application-layer companies — those wrapping models around a concrete, high-value task — have been among the most active fundraisers, and financial research is a natural fit for the approach.

For a young company, the real test now is durability. Agents that draft research are easy to demo and harder to trust at scale, where a single wrong figure can cost a fund real money. Pinegap''s answer — bespoke agents, human analysts kept in the loop, and a growing library of reports to learn from — will be scrutinised as it moves from early adopters to the more conservative core of the asset-management industry. If it holds up, the company will have shown that India can build not just the models at the bottom of the AI stack, but the trusted, vertical tools that sit on top of them.

Sources

• Pinegap raises $8 million in Series A led by Stellaris Venture Partners — YourStory
• Pinegap Raises $8M in Series A Funding — FinSMEs
• Pinegap Raises $8 Million Series A Led by Stellaris Venture Partners — SiliconIndia