Indian agentic AI startup Gushwork raises $9 million to expand engineering teams

Gushwork, an agentic AI startup raised a $9 million seed funding round led by Susquehanna Asia VC with participation from Lightspeed, B Capital, Seaborne Capital, Beenext, Sparrow Capital, and 2.2 Capital.

Founded by Nayrhit Bhattacharya and Adithya Venkatesh, Gushwork has built a swarm of complex AI marketing agents to help small and medium businesses get discovered and cited on AI search engines like ChatGPT, Claude, Perplexity & Gemini, helping them generate more leads and get new customers.

The startup said it will use the raised capital to accelerate product development, improve the accuracy of agents, expand engineering teams, and scale go-to-market operations.

“Buyers have already started shifting their behaviour, asking AI for vendor opinions instead of salespeople or friends for referrals. By 2028, AI’s recommendation will be the primary way buyers choose their vendors,” said Nayrhit Bhattacharya, CEO and Co-founder, Gushwork AI.

“We've built autonomous AI agents that ensure business’ websites get recommended by AI when their buyers ask these questions. This $9 million raise and support from an experienced group of investors validates our vision and will help us accelerate our product build and go- to-market velocity.”

“For every human visit, we are seeing 2x-3x AI agent visits on our customer websites. This creates a fundamental shift, where a website needs to attract not just human visitors, but AI visitors as well which will analyze and cite the content when answering potential customers' questions,” says Adithya Venkatesh, CPO and Co-founder, Gushwork AI.

“We have built a data-backed and deeply technical content creation, distribution, and management engine that plugs directly into any website and continuously attracts both AI crawlers and human buyers. Our agents are always adapting and evolving as these AI models, which automatically keep updating every few days, " he explains. "The technical moat lies in understanding how different AI engines evaluate authority, how they cluster topics, and how they decide what to cite.”