AI Rate
Matching Engine
Our proprietary AI engine scans rate sheets from 200+ wholesale lenders in real time, scores every available product against your unique profile, and delivers the optimal match in under 60 seconds.
Last updated: March 2026
Scanning 200+
Wholesale Lenders
Unlike retail banks that only offer their own products, Theos Financial has access to the entire wholesale mortgage marketplace. Our AI engine connects to every lender's rate feed and continuously ingests pricing data throughout the trading day.
Real-Time Rate Feeds
Our engine maintains live API connections to over 200 wholesale lenders across the country. Rate sheets are ingested as they are published, typically multiple times per day. When mortgage-backed securities prices change on the bond market, lender rate sheets adjust accordingly, and our system captures these changes within minutes. This means the rates you see reflect current market conditions, not stale data.
- Live API connections to 200+ lenders
- Rate sheets ingested as published
- Multiple intraday updates captured
- Bond market changes reflected in minutes
Data Normalization
Every lender publishes rate sheets in different formats with varying terminology, adjustment structures, and pricing conventions. Our engine normalizes all this data into a standardized format so products can be compared accurately. We parse base rates, loan-level pricing adjustments (LLPAs), lender credits, discount points, and program-specific overlays to create a true apples-to-apples comparison across all 200+ lenders.
- Standardized format across all lenders
- LLPA adjustments automatically applied
- Points and credits normalized
- True apples-to-apples comparison
Product Coverage
The engine covers every major loan type and program: conventional, FHA, VA, USDA, jumbo, non-QM, bank statement, DSCR, asset depletion, and more. Within each category, it evaluates every available term (10, 15, 20, 25, 30 year), rate type (fixed and ARM variants), and pricing tier. On any given day, the engine is evaluating thousands of unique rate/product combinations for each borrower scenario.
- All loan types and programs covered
- Every term and rate type evaluated
- Thousands of combinations per scenario
- Including niche and specialty products
Machine Learning
Scoring System
Raw rate data is just the starting point. Our machine learning models add layers of intelligence to evaluate which products are truly optimal for each borrower's unique situation.
Borrower Profile Matching
When a borrower enters their information into our Quick Quote tool, the AI engine builds a comprehensive profile that includes credit score range, income type (W2, self-employed, 1099), down payment amount, property type, occupancy status, loan purpose, and geographic location. This profile is matched against every lender's eligibility criteria and pricing adjustments to determine exactly which products the borrower qualifies for and at what price.
Multi-Factor Scoring
Each qualifying product receives a composite score based on multiple factors: the interest rate itself, total closing costs, monthly payment, total interest over the expected hold period, lender reliability and closing speed, and any special programs or credits that apply. The scoring model weights these factors based on the borrower's stated priorities, whether they value the lowest rate, lowest closing costs, or lowest monthly payment.
Predictive Analytics
The engine uses historical data and market trend analysis to provide insight into rate direction. While no model can predict rates with certainty, our system analyzes patterns in Treasury yields, Federal Reserve signals, inflation data, and mortgage-backed securities pricing to give borrowers context about whether current rates represent favorable opportunities. This helps borrowers make informed decisions about rate locks.
Continuous Learning
The system improves over time by analyzing outcomes of past loan scenarios. Which lenders consistently close on time? Which products had the fewest conditions and surprises during underwriting? Which pricing proved most accurate from initial quote to final closing disclosure? This feedback loop continuously refines the scoring model to deliver better recommendations with each iteration.
The Technology
Stack
Our platform is built on modern, scalable infrastructure designed for reliability, speed, and security. Every component is purpose-built for the mortgage industry.
Cloud Infrastructure
The platform runs on enterprise-grade cloud infrastructure with auto-scaling, redundancy across multiple availability zones, and 99.9% uptime SLAs. Rate data is cached at edge locations for sub-second response times nationwide. Our infrastructure scales automatically during high-traffic periods like rate drops or market events.
- Multi-zone cloud deployment
- Auto-scaling for traffic spikes
- Edge caching for fast responses
- 99.9% uptime target
Security & Compliance
All data is encrypted in transit with TLS 1.3 and at rest with 256-bit AES encryption. The platform meets SOC 2 Type II compliance standards and follows GLBA (Gramm-Leach-Bliley Act) requirements for protecting consumer financial data. Multi-factor authentication is required for all internal access, and regular penetration testing ensures ongoing security.
- 256-bit AES encryption at rest
- TLS 1.3 encryption in transit
- SOC 2 Type II compliance
- GLBA compliant data handling
API Integration Layer
The engine integrates with credit bureaus for real-time credit pulls, property data providers for automated valuations, employment and income verification services, and each lender's loan origination system. These integrations enable a seamless flow from initial quote through application, processing, underwriting, and closing without manual data re-entry.
- Credit bureau integrations
- Automated property valuations
- Employment verification APIs
- Lender LOS direct connections
See the AI Engine
In Action
Enter a few details about your loan scenario and watch the engine find your optimal rate from 200+ lenders in under 60 seconds. No credit check, no obligation, no personal information required.