QwikBuild’s $2.3 Mn Bet: AI Should Build the Workflow, Not Just Automate One Task

Enterprise AI is often sold as a layer that automates individual tasks. Bengaluru-based QwikBuild is taking a broader approach: let business teams describe how an operation should work, then have AI agents turn those decisions into functioning enterprise software.

The startup has raised $2.3 million, or around ₹22 crore, in pre-seed funding led by Japan-listed technology company Globalway. Blume Ventures, DeVC and Marsshot participated alongside Groww founder Lalit Keshre and Curefoods CEO Ankit Nagori. The capital will primarily support go-to-market expansion, including a US team and a wider push across Southeast Asia.

Founded by former Slice executive Pradeep Ayyagari, QwikBuild allows companies to create applications from scratch, replace legacy systems or build custom layers on top of platforms such as SAP and Salesforce. Its focus is not only automating the final action, but encoding the business rules that decide what should happen in the first place.

That could mean a financial-services team defining which customers should be contacted, what filters apply and which workflow should follow. QwikBuild can turn those requirements into software and connect them to execution tools such as voice agents. Globalway says the platform uses seven specialised AI agents across tasks including database design, APIs, interfaces, debugging, security checks, testing and deployment.

QwikBuild says it already serves 100+ enterprises across India, Southeast Asia, the US and Dubai. Around 10–12% are large enterprises, while roughly 30% are smaller companies using the platform to deploy software without dedicated technology teams. These are company-reported figures.

Japan is becoming another part of the expansion. QwikBuild and Globalway are forming a joint venture that is expected to become operational by the end of 2026 and will commercialise the platform for Japanese enterprises.

QwikBuild’s larger bet is that enterprise AI adoption will accelerate when business teams can change the software itself — instead of repeatedly translating every operational requirement into another engineering ticket.