Dwilar Secures 150 Million Yen in Pre-Series A Funding for AI-Powered Credit Assessment

Dwilar Secures Significant Funding for Growth

Dwilar, a cutting-edge company based in California, USA, is making waves in the AI credit assessment space with its innovative SaaS product, Lita. Recently, the company announced it has successfully raised approximately 150 million yen in a pre-Series A funding round. This funding was backed by existing shareholders, 9 Capital, and new investors including MTG Ventures and Shinryo Fund, along with several angel investors through a SAFE (Simple Agreement for Future Equity) arrangement.

The Purpose Behind the Funding

The primary goal of this funding is to expand Dwilar's cross-border credit assessment platform, which already integrates with credit information agencies from 63 countries and leading open banking APIs. The platform allows individuals from various nations to utilize their home country credit information for rental evaluations and access to financial services. This is particularly vital for migrants who often struggle to establish credit profiles in their new home countries.

By the time of its service launch in February 2025, Dwilar will have expanded its coverage to accommodate over 21 nationalities, with an additional focus on migrants from 42 new countries, including regions in South America, Southeast Asia, China, and Korea. This expansion will greatly enhance support for the majority of migrants moving to countries like Japan and the USA.

Enhancing Service Capabilities with New Funding

The additional funds obtained will empower Dwilar to broaden its offerings to include citizenship from countries in Southeast Asia, such as Cambodia, Nepal, and Bangladesh. They aim to develop credit assessment solutions based on cash flow data for users who may not have previous experience with credit cards or loans. This innovative model promises to revolutionize access to credit for new arrivals, ultimately aiding in their financial integration.

New Leadership: CTO Appointment

In a significant move, Tobias Anderson, who previously worked on an outsourced basis, has officially joined Dwilar as Chief Technology Officer (CTO). With an impressive background leading AI credit assessment teams at Klarna and Wise, Anderson's expertise in transaction data analysis will enhance Dwilar's existing assessment processes. He will focus on integrating new credit data points and constructing a cash flow-based credit assessment system that broadens accessibility for a diverse user base.

Background of Tobias Anderson

Anderson’s impressive resume includes leading projects aimed at improving UI/UX in credit assessment processes at Klarna and Wise. His contributions are expected to be pivotal as Dwilar continues to expand and refine its offerings in the AI credit space.

Data Analyst Appointment: Manhar Hemant

In addition to Anderson’s leadership, Dwilar has also welcomed Manhar Hemant as a Data Analyst. Hemant brings over a decade of experience from Experian, one of the world's foremost credit Information agencies, where he specialized in quantitative analysis. His skills in data analysis will contribute to developing proprietary scoring systems based on acquired credit information and creating assessment logic that utilizes cash flow analysis.

Background of Manhar Hemant

With a PhD in Mathematics, Hemant's expertise in analyzing credit information for both individuals and businesses will be invaluable as Dwilar further develops its credit assessment frameworks.

About Dwilar

Founded in February 2024, Dwilar, Inc. has established itself as a key player in the AI credit assessment landscape for foreigners in the USA and Japan. By leveraging connections with credit information agencies and open banking systems from around the world, Dwilar plays a crucial role in helping foreigners utilize their existing credit information for a smoother transition into their new lives. The company’s strength lies in its AI agent function, which automates complex processes, ensuring a simplified experience for users.