Funding Alert

AI Startup Gushwork.ai Secures $2.1 Million in Pre-Seed Funding


Gushwork.ai, a pioneering AI startup, has successfully raised $2.1 million in pre-seed funding to revolutionize small and medium businesses (SMBs) with access to on-demand remote workforce solutions. The funding round was led by prominent venture capital firm Lightspeed, with participation from B Capital, Sparrow Capital, Seaborne Capital, and Beenext.

The startup, founded by Nayrhit Bhattacharya and Adithya Venkatesh in January this year, offers businesses the expertise of trained administrative teams to streamline workflows and tackle recurring manual tasks. By embedding AI into the core of business operations and combining it with a reliable human touch, Gushwork.ai addresses the challenge of trusting AI to execute tasks without human oversight.

Nayrhit Bhattacharya, Co-founder & CEO of Gushwork.ai, stated, “Getting expensive in-house employees to work on recurring, manual tasks or spending months trying to imperfectly automate these processes is really suboptimal. We want to embed AI in the very core of business operations by bringing in a reliable human touch on top of AI to solve the lack of trust.”

The company’s innovative solutions have already garnered over 50 clients across various industries, empowering them to delegate more than 200 tedious workflows to Gushwork.ai. This has resulted in significant weekly savings of 1,000 person-hours for its clients. The company primarily focuses on sales and marketing operations workflows, addressing tasks such as lead prospecting, email marketing, ad management, social media engagement, and more.

Rahul Taneja, Partner at Lightspeed, emphasized the potential of remote work opportunities and cross-border cost arbitrage, saying, “Gushwork.ai is leveraging this tailwind of cross-border cost arbitrage and is building a unique platform for businesses to delegate some of their most complex workflows to an elite on-demand offshore workforce trained on AI tools and apps.”

Gushwork.ai plans to use the raised capital to facilitate growth and develop new product features. The company aims to invest in content-led organic marketing and personal branding channels to accelerate its expansion, all while building features that help businesses create and document complex processes for large training datasets to automate workflows as AI models advance.

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