What was the impact of the AI solution?

Reduced underwriting workload by 30 hours weekly, adding capacity equivalent to an extra underwriter. Enabled disbursement of $22 million in funding through the self-serve portal. Onboarding time dropped by 83%, improving customer experience. Supported 76.6% year-over-year growth in onboarded customers.

Source

GCP

Fundwell - Fast, Transparent Business Financing with AI on Google Cloud

Use case typeDocument automationUpdated Jun 13, 2026

Fundwell, a US-based fintech company, built Nebula, a document intelligence platform leveraging Google Cloud and Vertex AI to automate financial document analysis and underwriting. Nebula uses Vertex AI models from Model Garden for data extraction and risk assessment, integrated with Compute Engine, Cloud SQL, and Cloud DNS for scalability, backend and security. The platform reduced underwriting workload by 30 hours/week, accelerated onboarding by 83%, enabled $22M funding via self-serve portal, and supported 76.6% YoY growth. Automating manual underwriting and document analysis processes improved funding speed, customer experience, and operational efficiency.

Organization: Fundwell
Industry: Finance
Location: United States

Reported outcomes

−83%

timeTime & speed

30 hourstime+76.6%quantified impact

Strategic outcomes

Customer experience & trustImproved onboarding transparency and speedScale & capacityAdded underwriting capacity for growthNew business modelEnabled self-serve funding disbursementCustomer experience & trustAccelerated customer onboarding

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1Document Intelligence
2Financial Underwriting Automation

Manual underwriting and client management slowed down funding approvals and onboarding, hindering growth and customer engagement.

Built Nebula with Google Cloud services including Vertex AI and models from Model Garden to automate financial document processing and risk profiling.
Hosted Nebula on Compute Engine to handle fluctuating workloads and growth.
Integrated backend systems with Cloud SQL and Cloud DNS for database and security management.
Enabled a self-serve portal for transparent funding options to clients.

Technologies

Google Cloud Compute Engine Vertex AI Cloud SQL Cloud DNS Model Garden on Vertex AI

Reduced underwriting workload by 30 hours weekly, adding capacity equivalent to an extra underwriter.
Enabled disbursement of $22 million in funding through the self-serve portal.
Onboarding time dropped by 83%, improving customer experience.
Supported 76.6% year-over-year growth in onboarded customers.

Sources & evidence1

Groundedness: 5/5

Primary source

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Customer evidence