Kita Technologies, an AI infrastructure startup building document intelligence and underwriting automation for lenders in emerging markets, has raised early-stage venture backing as it develops a platform designed to automate credit decisioning from unstructured financial data. The company focuses on transforming borrower-submitted documents—such as bank statements, e-wallet records, payslips, and tax filings—into structured, fraud-checked credit insights that can be used directly in underwriting workflows.

Founded in 2025 by Carmel Limcaoco and Rhea Malhotra, Kita Technologies operates within the broader fintech infrastructure space, targeting lenders in regions where traditional banking APIs and standardized credit data are limited. The company’s platform is designed to reduce the reliance on manual document review by using vision-language AI systems that extract, verify, and structure financial information at scale, enabling faster and more consistent lending decisions.

Kita’s funding history reflects a combination of early venture backing and participation in accelerator ecosystems. According to startup data disclosures, the company has raised approximately $3 million in total funding, supported by early-stage investors including Altara Ventures and Gentree. This capital has been used to expand engineering capabilities, refine its AI-based document intelligence models, and deploy early versions of its underwriting automation platform across lending partners.

A key component of Kita’s investor base includes Altara Ventures, a Southeast Asia-focused venture capital firm that backs technology companies in fintech, SaaS, and digital infrastructure. Altara’s participation aligns with its broader investment strategy in companies modernizing financial services across emerging markets.

Another early supporter is Gentree Fund, a venture firm investing in technology-driven businesses across Asia. Gentree’s involvement reflects increasing institutional interest in AI-enabled financial infrastructure tools that improve credit access and operational efficiency for lenders operating in underserved markets.

In addition to institutional venture capital, Kita has also been associated with the broader startup ecosystem supported by Y Combinator, having emerged through the accelerator’s program as part of its Winter 2026 batch. This backing has provided the company with early-stage guidance, network access, and validation within the global startup ecosystem, particularly in the fintech and AI infrastructure categories.

Kita’s platform is built around three core layers: document ingestion and extraction, borrower engagement automation, and AI-driven underwriting decision support. Its system uses vision-language models to process non-standard financial documents and convert them into structured datasets, which are then evaluated for fraud detection, income consistency, and credit risk modeling. The company’s technology is particularly relevant in markets such as Southeast Asia, Latin America, and Africa, where lending decisions are often constrained by fragmented financial data and manual review processes.

Investor interest in Kita reflects broader momentum in AI-driven fintech infrastructure, where companies are increasingly targeting inefficiencies in underwriting and credit operations. By automating document-heavy workflows, Kita aims to reduce loan processing times from days to minutes while improving accuracy and auditability through traceable data extraction.

As Kita continues to expand its lending partnerships and improve its AI models through real-world credit data, the company is expected to use its existing funding to scale deployment across additional geographies and deepen integrations with financial institutions. With backing from Altara Ventures, Gentree, and Y Combinator, Kita is positioning itself as a foundational infrastructure layer for AI-native underwriting systems in global lending markets.

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