September 21, 2026
Funding Fusion News

AI equity research startup Pinegap raises $8 million in funding led by Stellaris Venture Partners

  • August 8, 2026
  • 0

AI-powered fairness analysis platform Pinegap has raised $8 million in a Sequence A funding spherical led by Stellaris Enterprise Companions. Current investors Inventus, Silicon Valley Quad and DeVC


AI-powered fairness analysis platform Pinegap has raised $8 million in a Sequence A funding spherical led by Stellaris Enterprise Companions. Current investors Inventus, Silicon Valley Quad and DeVC additionally participated within the spherical.

Pinegap mentioned it is going to use the funding to broaden its gross sales and go-to-market operations, develop its engineering staff and set up an in-house staff of former fairness analysis analysts.

Based in 2024 by Deepak Sharma and Ankit Varmani, Pinegap develops AI brokers designed to automate recurring analysis duties for institutional buyers, together with hedge funds, long-only mutual funds and registered investment advisers within the US.

The platform builds customized AI brokers round particular person funds’ funding approaches, personal knowledge and most popular reporting codecs. Analysis outputs might be delivered mechanically in response to set schedules or triggered by market occasions.

“Each workflow we automate, whether or not it is an earnings preview, an organization primer or a thesis tracker, is time an analyst will get again to concentrate on what solely they’ll do: judgment, conviction and choices. Pinegap is not a chatbot or a search instrument. It is a platform constructed round how a fund really operates, tuned to their knowledge, their format and their funding model,” Sharma mentioned.

The startup claims to have deployed greater than 1,000 AI brokers throughout greater than 100 institutional purchasers, producing upwards of fifty,000 analysis reviews a month.

Alok Goyal, associate at Stellaris Enterprise Companions, mentioned buy-side analysts and portfolio managers had been coping with rising volumes and complexity of data.

“Pinegap is fixing an actual, high-stakes drawback with a staff that has lived it from each side, the area depth of a profession analyst mixed with the technical velocity of a product builder,” Goyal mentioned.