QwikBuild Raises $2.3M Pre-Seed to Build Enterprise Software with AI Agents

QwikBuild Raises $2.3M Pre-Seed to Build Enterprise Software with AI Agents
Asia-PacificNorth AmericaFunding
WorkNation
October 28, 2026

Bengaluru-based enterprise AI startup QwikBuild has raised $2.3 million in pre-seed funding to expand its platform for building custom enterprise software and AI agents. The round includes backing from Globalway Inc., Blume Ventures, Marsshot and DeVC, alongside angel investors Lalit Keshre, founder of Groww, and Ankit Nagori, founder of Cure.fit.

Alongside the funding announcement, QwikBuild revealed a joint venture with Globalway Inc., a publicly listed Japanese company, to expand into Japan's enterprise market.

Founded by Pradeep Ayyagari, QwikBuild aims to help businesses develop enterprise-grade software and AI agents in days rather than months. Its platform uses AI agents to turn manual business operations into production-ready applications that organisations can own and control.

The company is targeting enterprises that want to modernise their operations without the time and complexity traditionally associated with custom software development.

Building Enterprise Software in Days

Many organisations rely on manual processes, legacy applications and disconnected systems to manage daily operations. Replacing these systems or building new software around them can require lengthy development cycles and significant coordination between business and technology teams.

QwikBuild aims to reduce this complexity by using AI agents to develop bespoke applications and automate operational workflows.

According to the company, its platform can build enterprise-grade software in days rather than months. It is designed to work alongside existing enterprise systems, enabling businesses to modernise operations without necessarily replacing their entire technology infrastructure.

The platform offers three approaches to enterprise modernisation: replacing a legacy system entirely, building a custom software layer over existing tools, or developing applications from scratch.

This flexibility allows businesses to pursue different modernisation strategies depending on their operational requirements and existing technology investments.

Integrating AI Agents with Existing Enterprise Systems

QwikBuild is designed to work with established enterprise software, including SAP and Salesforce.

Rather than requiring companies to abandon their existing systems, the startup aims to build applications and AI agents that operate alongside them. The objective is to automate manual processes and connect workflows while allowing organisations to retain control over their software and operations.

This approach targets a practical challenge for enterprise AI adoption. Businesses may want to automate complex processes, but they often operate within established systems that cannot easily be replaced.

QwikBuild's model focuses on building custom software around those environments. Its approach combines AI-driven development, enterprise integrations and managed AI agents to support operational transformation.

The company positions its platform as a way for businesses to modernise workflows without undertaking lengthy traditional custom software projects.

Enterprise Use Cases Across Multiple Markets

QwikBuild says its platform is already being used by enterprises in the United States, Singapore and India.

One example highlighted in the announcement involves a major electronics component exporter in Asia that now runs shipment and supply-chain operations using software and AI agents developed through the platform.

The source announcement does not identify the customer by name or provide independently verified performance figures for the deployment. It therefore remains unclear how much time, cost or manual effort the implementation has saved.

Nevertheless, shipment and supply-chain operations illustrate the type of business workflow QwikBuild is targeting: processes that involve multiple steps, systems and operational decisions.

The company's broader proposition is that businesses should be able to develop purpose-built software for their specific requirements rather than depend entirely on standard applications or lengthy development projects.

$2.3 Million Funding and a Joint Venture with Globalway

The $2.3 million pre-seed round includes Globalway Inc., Blume Ventures, Marsshot and DeVC, along with angel investors Lalit Keshre and Ankit Nagori.

Globalway is also partnering with QwikBuild through a joint venture intended to support expansion into Japan's enterprise market.

The arrangement gives QwikBuild a stated route into a new market alongside an established Japanese corporate partner. However, the announcement does not disclose the joint venture's ownership structure, financial commitments or launch timeline.

For QwikBuild, the funding and partnership arrive as it seeks to expand the use of AI agents beyond individual productivity tasks and into enterprise operational systems.

The capital is expected to support the company's broader development and expansion plans, although the source announcement does not provide a detailed allocation of the funds.

Competing in the Enterprise AI Market

Enterprise AI companies are increasingly targeting the gap between general-purpose AI tools and the specific software businesses need to run their operations.

QwikBuild is pursuing this opportunity through custom application development and AI agents designed to work with existing enterprise systems.

Its approach differs from a conventional software-as-a-service product in that the platform is intended to create bespoke applications tailored to each organisation's workflows. This could appeal to businesses whose requirements are not fully addressed by standard software.

However, enterprise adoption depends on more than the speed of application development. Security, reliability, integration quality, governance and long-term maintenance are also important considerations when AI agents are used in business-critical processes.

QwikBuild's ability to demonstrate these capabilities across more customers and industries will be important as it expands.

What Comes Next for QwikBuild?

QwikBuild is positioning itself around a central proposition: enterprises should be able to modernise their operations with custom software and AI agents without waiting months for traditional development projects.

The $2.3 million pre-seed round will support the startup as it develops this approach, while the joint venture with Globalway provides a stated pathway into Japan.

Its progress will depend on whether the platform can consistently deliver reliable applications, integrate effectively with existing enterprise systems and demonstrate measurable value for customers.

For enterprise technology buyers, the key question is not simply whether AI can generate software faster, but whether that software can safely and reliably support real operational workflows.

QwikBuild's next stage will test whether its AI-driven development model can translate its early deployments into broader enterprise adoption.

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