Your underwriting copilot
Tap into AI-powered Daisy to streamline manual review and decisioning processes.
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How it works
Upload financial documents required for underwriting analysis and count on Daisy to do the rest.
Upload documents
Upload financial reports and banking documents for analysis.
Access insights
Let Daisy translate uploaded raw statements into processed data visualizations.
Chat with Daisy
Prompt Daisy with questions and requests for further analysis.
Simplify review processes
Transform financial documents into processed insights and data visualizations that ease risk assessing.
Extract insights
Drive accurate lending decisions with the most relevant data.
Save time
Trust in AI to reduce time spent on manual processing and analysis.
Streamline operations
Get through review queues faster by reducing human bottleneck.
Extract relevant data
Authenticate uploaded financial statements, and pull only the key data points needed for underwriting.
Gain an analytic edge
Leverage Daisy’s auto-generated data visualizations, aggregations, and analyses to get a clear view of financial health for customers under evaluation.
Consult freely
Chat freely with Daisy in real time to challenge auto-generated analytics. Ask her to apply AI-driven thinking into your proprietary models and calculations.
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Create instant memos
Ask Daisy to generate summaries and credit memos that capture the metrics and criteria most critical for your underwriting documentation.
Frequently asked questions
What is Daisy?
Daisy is an AI-powered assistant built for underwriters managing manual review processes. Daisy processes standard financial documents for underwriters and transforms them into processed data visualizations. Its AI-powered chat further assists underwriters by allowing them to gain additional insights into the processed financial information, detect document fraud, and to generate instant credit memos. In doing so, the tool allows underwriters to reach more accurate, data-backed lending decisions faster.
How do I access Daisy?
Daisy is currently available for exclusive early access. To get started, request access by filling out the early access form. Once submitted, one of Noble’s product managers will follow up with next steps and access information.
Does using Daisy require integration?
Daisy is an out-of-the-box ready to use solution. Using the tool does not require any custom integration or dev work.
How much does Daisy cost?
Daisy is a free tool for those who register for the early access program.
For those who join once early access ends, the tool will incur a recurring monthly fee of $99 per active user.
How are financial documents uploaded to Daisy?
Financial and banking reports can either be uploaded directly to Daisy by the underwriting analyst, or, a request for submission can be sent to the customer under review. In case of the latter, a customer will be able to either securely upload documents to Daisy or connect their bank or accounting system to Daisy (via open banking consent) so that their financial data can be shared directly via API
Which types of documents are supported by Daisy?
Daisy supports financial reports like profit & loss sheets and balance sheets, and banking documents like bank statements. Documents can be uploaded in PDF, CSV, and XLSX/XLS formats, or as images that will be analyzed using OCR and NLP technology.
How does Daisy differ from Noble?
Noble is a full-service risk management platform that offers tools for facilitating customer lifecycle decisioning. It is an enterprise-grade product that requires customization and configuration ahead of use.
Daisy is a value-add tool for underwriters that assists analysts in their manual review process. It is powered by Noble but offered as a standalone solution, external to the core platform.
We wrote the code, you take the credit
Your underwriting copilot
You’re all set.
You’ve been added to Daisy’s early-access program. One of our team members will reach out to collect early insights that will drive product development, and share news of of official launch with access information.