Kaaj is a San Francisco–based, agentic-AI-enabled platform that provides a technology solution for automation of the small business loan underwriting process. The company was founded in 2024 by Utsav Shah and Shivi Sharma. Utsav Shah comes from a background in both AI Systems and Credit Risk, having worked at Uber, Cruise, American Express and Varo Bank; while Shivi Sharma comes from a background in Credit and Fraud Risk, having also worked at American Express, Uber and Varo Bank. The company has already processed over $5 billion in loan applications for its lender clients including Amur Equipment Finance and Quality Equipment Finance.
Founded in San Francisco by Utsav Shah, former Uber/Cruise AI expert, and Shivi Sharma, former American Express/Varo credit risk specialist.
Launched agentic AI Platform for Small Business Loan Underwriting — Processing $5 Billion + in Loan Applications.
Raised $3.8 million in funding from Kindred Ventures, with participation from Better Tomorrow Ventures, Karman Ventures and multiple Fintech Executives.
Demonstrated platform at FinovateFall 2025, highlighting 10x faster origination for small business loans.
Agentic AI workflows for end-to-end loan package analysis including document classification, cash flow analysis, financial spreads, fraud detection, and credit memo generation tailored to lender policies
Technology details limited; integrations from official announcements
| Service | Cost | Details | Source |
|---|---|---|---|
| Seed Stage Platform | Pricing likely custom enterprise contracts for lenders and brokers | Company announcements | |
| Enterprise Licensing | Custom quote | Tailored for financial institutions processing loan applications | — |
| Feature | Kaaj | Zest AI | Gradient AI | Moody's RiskCalc | |
|---|---|---|---|---|---|
| Core Functionality | Agentic AI credit analysis for SMB loans | Machine learning credit scoring | AI underwriting for P&C insurance | Traditional credit risk modeling | Partial |
| Loan Processing Time | Minutes (from days) | Hours | Real-time scoring | Days | |
| End-to-End Automation | Yes (verification to memo) | Partial | Partial | No | |
| Small Business Focus | Yes | Consumer focus | Insurance focus | No | |
| Integrations | CRM (Salesforce, HubSpot, etc.) | LOS systems | Insurance platforms | Limited | |
| Pricing (Starting) | Custom enterprise | $50K+/year | Custom | Subscription $10K+/year | |
| Free Tier | No | No | No | Trial available | |
| API Availability | Yes (LOS integration) | Yes | Yes | Yes | |
| Enterprise Features | Scalable for high volume | Yes | Yes | Yes | |
| Support Options | Customer success teams | Enterprise support | Enterprise support | Enterprise support |
Kaaj Provides Agentic AI Workflows to Target Small Business Lending While Zest AI Uses Machine Learning Models to Score Consumer Credit; Kaaj Emphasizes Speed of End-To-End Automation (Minutes vs Days), But is Early Stage and Has Less Market Validation Than Zest AI.
Kaaj For SMB Lenders Who Need Workflow Automation, Zest AI For Consumer Banks Who Need Regulatory Compliant Scoring.
Gradient Focuses on P&C Insurance Underwriting While Kaaj Serves Commercial Lending; Both Use AI Agents; However, Different Verticals – Kaaj Has Stronger Specificity for SMB Lending and LOS Integrations.
Vertical Specialization Differentiates Both – Kaaj Owns SMB Credit Intelligence.
Upstart Is a Full Lending Platform That Focuses On Consumer/Personal Loans, While Kaaj Is Credit Intelligence Infrastructure For Existing Lenders/Brokers to Enable Them To Scale Without Head Count, and Directly Compete With Lenders.
Kaaj Augment the Lenders, Upstart Disrupts Them.
Legacy Player That Offers A Broad Range Of Tools For Credit Risk Assessments vs Kaaj’s AI-Native SMB Focus; Kaaj Offers Dramatically Faster Processing Time, but Does Not Have Moody’s Decades of Data or Brand Trust.
Kaaj's focus on speed/scalability; Moody's for well-established risk modeling.
Kaaj turns loan packages into decision-ready analysis in under three minutes. Tasks which previously required days of manual underwriter labor are now automated, allowing lenders to provide response to borrowers in minutes rather than days.
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Kaaj achieves 95 percent accuracy for analyzing bank statements, categorizing transactions, extracting data, and detecting fraud. The AI agents used by Kaaj analyze all aspects of each transaction thoroughly and provide consistent results for every single transaction that is analyzed by Kaaj.
Yes. Kaaj works well with other loan origination systems and CRM (customer relationship management) systems, including, but not limited to, Salesforce, Microsoft Dynamics, HubSpot, and Zoho. Kaaj will go "live" within three weeks, without impacting existing workflow processes.
Kaaj assesses cash flow trends, examines daily balances, analyzes how an applicant pays back their debts, determines which source(s) of an applicant's income are actually generating revenue verses which source(s) are just providing non-revenue credits, identifies applicants who may be stacking multiple loans (loan stacking), calculates applicants' net income and operating margins, and identifies high risk accounts based upon NSF (non-sufficient funds) activity.
Kaaj identifies when a bank statement has been altered or manipulated, and utilizes patterns to identify potential anomalies (such as a large or unusual transaction). When an anomaly is identified, the system immediately flags it to alert lenders of potential fraudulent applications.
With Kaaj, a lending team that previously processed 500 loan applications per month would be able to process 2000 applications per month, with the same number of employees, resulting in the elimination of 90% of the time consuming and mundane work involved in processing loan applications, allowing for rapid and cost effective growth.
Yes. Kaaj provides lenders with quick, consistent and auditable loan decision-making; and for brokers, provides a means of intelligently matching borrowers with appropriate lenders to reduce administrative burden.
Kaaj is a revolutionary approach to addressing the fundamental challenge faced by small business lenders—unit economics of underwriting smaller loans make them unprofitable. Kaaj makes possible the automation of credit analysis from weeks to minutes with 95% accuracy and consistent results, directly addresses long-standing challenges that have hindered the ability of small businesses to access capital. The combination of a strong team comprised of former bankers and AI experts, along with the fact that Kaaj has already processed over 5 billion in loan volume, and the recent completion of a 3.8 million funding round, demonstrate significant market validation and a clear path to continued growth.
Kaaj is Essential for Community Banks, Credit Unions, and Brokers wishing to Profitably Grow their Small Business Lending through Making Underwriting Economics Viable at Scale.
Kaaj is a credit decisioning system that uses artificial intelligence (AI) technology to automate the process of evaluating loan applications for small business owners. This technology provides a decision-ready report in less than 3 minutes using cash flow analysis, fraud detection, and other criteria. The current accuracy of the technology is 95%. Over $5 Billion in loan applications have been evaluated using this technology. Customers include Amur Equipment Finance, Quality Equipment Finance, and Fundr. Kaaj's software also integrates seamlessly into existing Loan Origination Systems (LOS), as well as Customer Relationship Management (CRM) systems used by both lenders and brokers.
Excellent—comprehensive public information from official website, multiple press releases, industry event coverage (FinovateFall 2025), detailed product descriptions, and investor statements. All key claims (processing speed, accuracy rates, application volume, integration capabilities) verified across multiple authoritative sources.
Kaaj was developed by a team of former bankers and AI experts. The CEO and Co-Founder, Utsav Shah, is leading a team of individuals who have deep experience in both the lending operations and the development of artificial intelligence.
Kaaj has secured $3.8 million in funding to expand the availability of capital to small businesses utilizing their agentic AI credit intelligence platform. Investors are recognizing the large market opportunity in improving the unit economics of Small Business Lending, which has historically resulted in millions of small businesses being denied access to capital.
Has already processed over $5 billion in small business loan applications via its growing customer base consisting of lending platforms and equipment finance companies; demonstrates high levels of market traction and adoption by professional lenders.
Selected as one of the innovative fintech solutions at FinovateFall 2025. Recognized by the American Banker Association as a key partner to help modernize the small business lending process. Backed by venture capital from industry-focused investors.
Focuses on an important issue that is frequently overlooked in commercial lending: inconsistency in the decision-making process. Studies have shown that lending decisions are impacted by various factors including time of day, volume of work, and day of the week. Kaaj provides consistent comprehensive due diligence for every deal, improves the quality of the decision-making process, and makes the process more auditable.
Supports both lenders who use it to scale profitability and brokers who utilize it to provide intelligent lender matching and deal routing; notable customers consist of Amur Equipment Finance, Quality Equipment Finance, and Fundr – all represent the full spectrum of professional small business lenders.
AI-driven credit analysis that includes cash flow analytics, financial spreads, and risk grading from bank statements, tax returns and SOS data.
Automated fraud checks, KYB verification from Secretary of State records, and OFAC screening that are integrated into the underwriting workflow.
Extracts 95% accurate cash-flow metrics from any format of bank statement/financial document.
Automates the valuation and risk assessment of business assets included in the loan package.
Creates a financial and tax spread that displays key ratios relevant to the lenders credit policies.
Generates comprehensive risk grades based on business verification, cash flow, financial analysis and fraud insights.
Credit memo generation ready for use at the time of delivery as well as an assessment of risk and recommendations.
The intelligent routing of a deal to the lender who is best suited to finance the deal through their aligned credit box.
Risk grade and recommendation for approval in real-time incorporated into LOS.
Classification of documents by AI agent, flagging of missing items, preparation of spreadsheets by AI agent.
Instantaneous decisioning for all applicants requesting less than $500,000 with lender network routing.
Rapidly deployable integration with Salesforce, Dynamics, HubSpot, Zoho for seamless integration.
Recommendations of loan terms and structures from AI-based risk intelligence.
| Benchmark Criteria | Product Capability | Compliance Status | Notes |
|---|---|---|---|
| SMB underwriting automation | End-to-end AI credit analysis platform | COMPLIANT | 3-minute decision-ready credit memos |
| Agentic AI workflows | Multi-agent orchestration for complex tasks | COMPLIANT | Business verification to risk assessment |
| Document classification accuracy | Hybrid VLM/LLM/ML reducing unknowns by 78% | COMPLIANT | Handles messy real-world loan packages |
| Production scale processing | $5B+ applications processed | COMPLIANT | Thousands of loans daily |
| Regulatory transparency | Fully traceable audit-ready analysis | COMPLIANT | Eliminates human inconsistency |
| Enterprise integration | CRM/LOS compatibility (Salesforce, Dynamics) | COMPLIANT | 3-week deployment timeline |
| Credit decision consistency | Standardized analysis regardless of workload | COMPLIANT | Behavioral studies proven approach |
