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Credit risk automation platform Kaaj raises $3.8M seed from Kindred Ventures | TechCrunch
Shivi Sharma spent a decade working in credit risk at places like American Express and Varo Bank. At some point, she realized teams were spending equal amounts of time analyzing all types of loans -- regardless of whether it was worth $100,000 or $5 million -- meaning assessing smaller loans was
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AI fintech startup Kaaj raises $3.8 million from Kindred Ventures, others
Founded in 2024 by husband-wife duo Utsav Shah and Shivi Sharma, Kaaj aims to expand access to affordable capital for all small businesses. The startup uses agentic AI workflows to help lenders analyse end-to-end loan packages, create analyses for small-business lending, and cut costs. Kaaj, an
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AI credit intelligence platform Kaaj raises $3.8m
This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. The round was joined by Better Tomorrow Ventures, Karman Ventures, Pythia Ventures, Coughdrop Capital, and a host of angels, including Sardine AI CEO Soups
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Kaaj, founded by former American Express and Uber executives, secured seed funding to automate credit risk analysis using AI agents, reducing loan processing time from days to minutes and making smaller loans economically viable for lenders.
Kaaj, an AI-powered credit intelligence platform, announced a $3.8 million seed funding round led by Kindred Ventures, with participation from Better Tomorrow Ventures, Karman Ventures, Pythia Ventures, Coughdrop Capital, and notable angel investors including Sardine AI CEO Soups Ranjan and TreasuryPrime COO Remy Carole
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.The startup was founded in 2024 by husband-wife duo Utsav Shah and Shivi Sharma, who identified a critical inefficiency in the lending industry. According to the Federal Reserve 2024 Small Business Credit Survey, approximately 50% of small business loan applicants fail to receive the full amount of capital they need
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. Sharma, who spent a decade working in credit risk at American Express and Varo Bank, observed that teams were spending equal amounts of time analyzing loans regardless of their size, making smaller loans unprofitable for lenders1
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Source: TechCrunch
"She watched as the vast majority of small business owners couldn't access the capital they needed to grow, simply because the economics didn't work for banks," Shah explained
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.Kaaj's platform deploys agentic AI workflows that automate the entire credit analysis process, including business verification, cash flow analysis, asset valuation, financial analysis, and risk assessment
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. The system processes loan applications by identifying, classifying, verifying, and organizing information into Loan Origination Systems (LOS), while also conducting assessments to detect document tampering1
.What traditionally takes underwriters days of manual work across thousands of documents, Kaaj claims to complete in under three minutes, delivering decision-ready analysis that integrates seamlessly into existing systems
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. "This allows a team processing 500 applications monthly to handle 20,000 applications with the same staff, making smaller loans economically viable," Shah noted1
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The platform has already processed over $5 billion in loan applications and serves customers including Amur Equipment Finance, Quality Equipment Finance, and Fundr
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. The fresh capital will be used to accelerate product development and expand Kaaj's reach into the $1.7 trillion US small-business lending market and $1.3 trillion equipment finance market2
.Kanyi Maqubela, Managing Partner at Kindred Ventures, emphasized the significance of Kaaj's approach: "Small-business lending has long struggled with a fundamental economics problem -- the cost to underwrite smaller loans hasn't matched the returns, leaving millions of businesses underserved. Kaaj is solving this" .
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