Enterprise AI startup QwikBuild, which develops customised software and AI agents for business operations, has raised $2.3 million in a pre-seed funding round. The round saw backing from Globalway Inc., Blume Ventures, Marsshot and DeVC, along with prominent angel investors such as Groww founder Lalit Keshre and Cure.fit founder Ankit Nagori.
Alongside the funding announcement, QwikBuild revealed a joint venture with publicly listed Japanese company Globalway Inc. to expand its presence in Japan’s enterprise market.
Founded last year by Pradeep Ayyagari, QwikBuild is an enterprise AI platform that enables businesses to develop customised, enterprise-grade software and AI agents within days instead of months. By deploying AI agents, the platform converts manual business processes into production-ready applications that organisations can own and manage.
Headquartered in Bengaluru, the startup addresses operational inefficiencies caused by manual processes through autonomous AI agents that help build customised enterprise software within shorter timelines. Its platform offers businesses three approaches: completely replacing legacy systems, developing customised layers over existing software such as SAP and Salesforce, or creating applications from the ground up.
Designed to integrate with existing enterprise infrastructure, including SAP, QwikBuild enables businesses to upgrade their workflows, improve operational efficiency and adopt AI agents across their operations.
The company said its platform is already being used by enterprises across the US, Singapore and India. Its customers include Asia’s largest electronics component exporter, which now uses its software and AI agents to manage shipment and supply-chain operations.
By combining AI-powered software development, enterprise integrations and a managed agents stack, QwikBuild aims to support businesses in their AI transformation efforts. Its approach focuses on modernising operations around existing core systems while reducing the time, complexity and resources associated with conventional custom software development projects.
