Jinba, an artificial intelligence startup developing enterprise workflow automation tools, has secured seed investment from Y Combinator as the company works to help organizations create and deploy AI-powered workflows through natural language interactions. The company was accepted into Y Combinator’s Winter 2026 batch and received seed funding as part of the accelerator’s investment program. Jinba is building a platform that enables enterprise teams to create AI workflows by describing their needs in plain language rather than relying on traditional software development processes.

Founded by Shoya Matsumori and Takuya Norisugi, Jinba is focused on solving a growing challenge for large organizations: adopting artificial intelligence while maintaining security, compliance, and operational control. The company’s platform allows business users to build AI-powered workflows through chat-based instructions, enabling teams to automate processes without requiring extensive engineering resources.

Y Combinator invested in Jinba through its Winter 2026 accelerator batch. The startup accelerator provides early-stage companies with funding, mentorship, and access to a global network of founders and investors. Jinba’s participation in the program places the company among a group of emerging technology startups developing products across artificial intelligence, enterprise software, and automation.

Jinba’s platform is designed around the concept of conversational workflow creation. Instead of requiring employees to configure complex automation systems manually, users can describe the process they want to automate and allow Jinba to generate AI workflows. The company positions its technology as an alternative to traditional no-code platforms, which often require users to work through visual builders and predefined components.

The company is targeting enterprises, particularly organizations operating in highly regulated industries such as banking and insurance. Jinba’s platform includes features designed for enterprise environments, including permissions management, audit logging, and on-premise deployment capabilities. These features are intended to help companies adopt AI automation while meeting internal security and compliance requirements.

Jinba was founded by Shoya Matsumori, who serves as chief executive officer, and Takuya Norisugi, who serves as chief operating officer. Matsumori has a Ph.D. background in machine learning, while Norisugi previously worked as a manager at McKinsey. The founders are focused on bringing AI automation capabilities to companies that need reliable and scalable systems for business operations.

The company has reported adoption among enterprise users, including teams at major financial institutions and other large organizations. Jinba says its platform is being used by tens of thousands of enterprise users to create and manage AI-powered workflows. The company’s focus is on enabling employees across organizations to build practical automation solutions without waiting for dedicated engineering teams.

Jinba’s technology comes as companies increasingly seek ways to move artificial intelligence projects from experimentation into everyday business operations. Many organizations have invested in AI tools but face challenges related to implementation, security, and scaling. Enterprise-focused AI workflow platforms are emerging as a way to help businesses operationalize artificial intelligence across departments.

The company’s platform, Jinba Flow, allows users to create workflows that connect business processes, automate repetitive tasks, and support decision-making. The company has highlighted use cases including financial operations, investment decision processes, and compliance-related workflows.

The investment from Y Combinator will support Jinba’s continued product development and expansion as it works to build AI automation infrastructure for enterprises. The company plans to improve its workflow-building capabilities, expand enterprise features, and grow adoption among organizations seeking secure AI solutions.

Jinba is part of a broader wave of startups developing AI agents and automation platforms designed to change how businesses operate. While early AI adoption focused largely on consumer assistants and productivity tools, enterprise AI companies are increasingly targeting complex operational processes where automation can deliver measurable efficiency gains.

With backing from Y Combinator, Jinba is positioning itself as an emerging player in enterprise artificial intelligence automation. The company’s goal is to make AI workflow creation accessible to business teams while maintaining the security, governance, and scalability requirements needed by large organizations.

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