Kaaj secures USD $3.8m for AI-driven small business loans

San Francisco-based fintech firm Kaaj has raised USD $3.8 million in seed funding to further develop and expand its AI-powered credit intelligence platform for small business lending. 

Funding and market focus

The seed investment, led by Kindred Ventures with participation from Better Tomorrow Ventures and others, will help Kaaj accelerate product development. The company is targeting expansion within the USD $1.7 trillion US small-business lending market and the USD $1.3 trillion equipment finance market.

Kaaj reports that its platform has already processed over USD $5 billion in small business loan applications, engaging a growing client base that includes lenders and brokers such as Amur Equipment Finance, Quality Equipment Finance, and Fundr.

Small business formation in the United States is at a record high, with more than 33 million businesses in operation. However, access to capital remains restricted for many.

The Federal Reserve's 2024 Small Business Credit Survey found that roughly half of all small business loan applicants did not receive their full requested funding amounts. Traditional underwriting methods, manual and time-consuming, have caused lenders to focus on larger, more profitable loans at the expense of smaller enterprises.

Automation approach

Kaaj's platform uses a series of AI agents to manage the entire credit analysis process for small business loans. Tasks from business verification and cash flow analysis to risk assessment are handled automatically, significantly reducing the turnaround from several days to under three minutes. The system also integrates with established loan origination ecosystems.

"Lenders face a fundamental profitability problem: it takes the same amount of time and resources to underwrite a $100,000 loan as it does a $5 million loan. This forces lenders to prioritize larger loans, leaving millions of small businesses without access to the capital they need to operate and grow," said Shivi Sharma, President and co-founder, Kaaj. 

Kaaj serves both sides of the lending market. For lenders, the platform supports greater scale without the need for proportional staffing increases, allowing a team to process up to four times as many applications with the same resources. Brokers, meanwhile, benefit from automated lender matching, which aims to reduce administrative burden and expedite deal flow.

"Time kills deals in small business lending," said CEO and co-founder Utsav Shah."When multiple lenders compete for the same quality borrowers, speed determines winners. Faster, more consistent decisions with clear data help brokers reduce administration time and focus on delivering bespoke advice and guidance for small businesses. For lenders, Kaaj speeds up the response time to minutes instead of days, demonstrably improving their approval-to-funding ratios so they don't lose quality deals to competitors."

Consistency in underwriting

Beyond speed, Kaaj is also promoting greater consistency and transparency in lending decisions, issues that industry participants often cite as pain points. The platform's use of AI aims to eliminate variations in decision making that stem from human factors like workload and timing. Kaaj's architecture enables every data point, calculation, and insight to remain traceable, supporting audit-readiness and compliance.

Image courtesy of Kaaj. From left: Co-founders Utsav Shah and Shivi Sharma.