Casca

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About
Casca is an AI-native Loan Origination System (LOS) built to modernize the business lending processes of FDIC-insured banks and commercial lenders. The platform focuses on automating the manual stages of loan origination, specifically targeting small business, commercial, SBA, and USDA loans. By replacing traditional paper-based checklists and legacy systems, the tool allows financial institutions to manage higher loan volumes without proportional increases in staffing costs. The system is founded by a team of banking IT specialists and AI researchers from Stanford University, aiming to integrate advanced machine learning into the regulated banking sector. The platform operates through a series of integrated features including a digital application front-end, an automated document analysis engine, and a 24/7 AI loan assistant. The document analysis tool is capable of extracting data from a wide variety of financial documents, such as tax returns, bank statements, and rent rolls, processing thousands of pages to populate underwriting models. It features 30+ native integrations with data providers and credit bureaus, allowing it to perform 40+ KYB checks and calculate financial ratios instantly. This automation is intended to eliminate the spreading phase where credit analysts manually transfer figures from PDFs into spreadsheets. The software is primarily intended for community and regional banks, as well as non-bank lenders and brokers. It provides specific portals for different stakeholders: applicants can track their loan progress online, while loan officers and underwriters use the central platform to manage the decisioning process. The tool is designed to support the entire lifecycle from initial pre-qualification to document generation for closing. By providing immediate 2-3 minute follow-ups and 24/7 responsiveness, the system aims to reduce applicant churn and shorten the overall loan cycle. A key differentiator for Casca is its ground-up AI architecture, which contrasts with the 15-year-old legacy systems commonly used in the banking industry. Unlike standard origination software that simply digitizes forms, Casca uses generative AI to perform substantive credit analysis tasks and handle complex document review. This approach results in a measured reduction in manual effort and a decrease in the typical loan cycle time by several days. The platform's recent $29M Series A funding and its adoption by banks like Live Oak and Huntington highlight its position as a specialized solution for financial institutions looking to transition to AI-native infrastructure.
Pros & Cons
Reduces loan cycle times by approximately 5 days through automation.
Automates 90% of manual tasks, allowing lenders to process 10x more loans.
Increases applicant conversion rates by 3x with digital forms and fast follow-ups.
Performs over 40 instant KYB checks to streamline compliance.
Supports a wide array of 100+ document types for automated analysis.
Pricing is not transparent and requires a manual demo request.
Focuses exclusively on business and commercial lending rather than consumer loans.
Use Cases
Credit analysts at regional banks can use automated spreading to calculate financial ratios instantly, moving away from manual Excel data entry.
Small business loan officers can use the 24/7 AI assistant to manage applicant questions after hours, ensuring a 2-3 minute response time.
Bank compliance teams can automate KYB verification by utilizing Casca's instant analysis of 40+ checks.
Platform
Task
Features
• integrated document generation
• 24/7 ai loan assistant
• applicant progress portal
• 30+ native integrations
• 40+ automated kyb checks
• instant financial spreading
• automated document extraction
• digital online application
FAQs
What types of lending does the platform support?
Casca is designed for a variety of business lending types, including Small Business Administration (SBA) loans, USDA loans, and standard commercial lending. It provides specific workflows tailored to the unique regulatory and documentation requirements of each category.
How much can lenders expect to reduce their manual workload?
The platform is engineered to automate up to 90% of the manual effort involved in business loan origination. This includes tasks like data entry from financial documents, KYB checks, and calculating financial ratios.
Does the AI handle document review and data extraction?
Yes, the system can analyze over 100 document types, including complex tax returns and bank statements. It is capable of processing 10,000+ pages of financial documents to extract relevant data for underwriting.
How does the AI loan assistant interact with applicants?
The AI loan assistant provides 24/7 support by answering applicant questions and performing follow-ups within 2-3 minutes. This proactive communication helps increase lead conversion rates by up to 3x compared to manual follow-up.
Pricing Plans
Enterprise
Unknown Price• Online Digital Application
• 24/7 AI Loan Assistant
• Automated Document Extraction
• Instant Financial Spreading
• 40+ Automated KYB Checks
• 30+ Native Integrations
• Applicant Progress Portal
• Integrated Document Generation
Job Opportunities
Senior Infrastructure Engineer
Accelerate business loan approvals and reduce manual origination effort by 90% using an AI-native platform built for community banks and regional lenders.
Benefits:
Estimated Base Salary $180K – $215K
Offers Equity
Impact & Ownership
Collaborative Environment
Professional Growth
Experience Requirements:
5+ years of experience in infrastructure, platform engineering, or SRE roles
Strong coding skills in Python, Go, TypeScript, or Rust
Deep experience with cloud platforms (AWS preferred)
Proficiency with infrastructure-as-code tools (Terraform, CDK, Pulumi)
Solid understanding of containerization (Docker)
Other Requirements:
Experience in regulated industries (fintech, healthcare)
Familiarity with ML pipeline orchestration
Comfortable working in a fast-paced environment
Knowledge of multi-tenant SaaS architectures
Responsibilities:
Design, build, and maintain CI/CD pipelines
Own infrastructure-as-code for cloud resources
Build and improve observability systems
Develop internal tooling and automation
Drive reliability improvements
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Staff Software Engineer
Accelerate business loan approvals and reduce manual origination effort by 90% using an AI-native platform built for community banks and regional lenders.
Benefits:
Estimated Base Salary $185K – $255K
Offers Equity
Impact & Ownership
Collaborative Environment
Professional Growth
Experience Requirements:
7+ years of software engineering experience
Deep expertise in modern programming languages and web application frameworks
Strong competence in data modeling for relational databases
Track record of delivering significant projects in production SaaS environments
Holistic understanding of web architectures
Other Requirements:
Operational Resilience
Architectural Maturity
Security & Compliance Awareness
Strategic Problem Solving
Responsibilities:
Lead Strategy with Urgency
Balance Coding & Leadership (70% code / 30% mentoring)
Drive Execution
Amplify the Team
Optimize for Value
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Product Manager
Accelerate business loan approvals and reduce manual origination effort by 90% using an AI-native platform built for community banks and regional lenders.
Benefits:
$170K – $215K
Offers Equity
Impact & Ownership
Collaborative Environment
Professional Growth
Experience Requirements:
4+ years in product management
Track record of shipping customer-facing products
Experience with AI/ML products, financial services, or enterprise software
Prior startup experience
Other Requirements:
Strong analytical skills
Excellent written and verbal communication
Ability to move fast with incomplete information
Responsibilities:
Define product strategy for your vertical
Spend time with bank customers
Work closely with engineers to make tradeoffs
Own the full product lifecycle
Measure and fix what doesn't work
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