Credit Infrastructure  • AI  • Lending OS

AI‑first Credit Aggregator & Distribution OS

Glenzy unifies borrower intake, AI underwriting, and lender routing into one secure OS — turning messy documents into decision‑ready packages lenders can trust.

Borrower Intake
Lender OS
AI Matching
Compliance
Glenzy — Dual‑Pane Intelligence (Preview)
Ask Glenzy — Guide AI Hi! Let’s start with your legal business name. Acme Services LLC Great. What loan amount are you seeking? $250,000 for equipment Upload last year’s tax return or connect Plaid. Connect Plaid Package Preview SBA 1919 — Business Information SBA 413 — Owner #1 DSCR Snapshot 1.32× Documents Tax Returns Bank Statements Owner PFS (pending)
Challenge

Disconnected borrower journeys and slow, manual underwriting

Borrowers repeat data across forms; lenders chase documents; underwriting logic varies by spreadsheet. Compliance and audit add extra friction.
  • Chatless forms, duplicate uploads, and opaque status updates.
  • Manual doc extraction and eligibility scoring slow decisions.
  • Fragmented lender criteria and inconsistent handoffs.

Before Theecode

• Disconnected intake
• Manual eligibility & doc review
• Slow lender routing

After Theecode

• Chat-led intake + auto extraction
• AI ratios (DSCR/DTI) + risk flags
• Decision-ready packages to matched lenders
What We Delivered

From chat intake to lender delivery — one AI‑powered pipeline

Borrower Intake & Decision Snapshot
Chat, checklist, instant eligibility, and immutable package snapshots.
Lender Console & LOS Integration
Queue, flags, notes, and one‑click exports to LOS/partners.
AI Eligibility & Underwriting
DSCR, DTI, bank rules, and lender‑criteria matching.
Secure & Compliant Infra
SOC2, PCI DSS, and role‑based isolation on AWS.
Platform Snapshot

How Glenzy’s credit engine runs

Ticketech platform architecture diagram: iOS POS, scanner / printer SDK, microservices (Identity, Payments, Analytics, Bulk Close, Revenue & Ticket Dashboard), and Unified Back Office.
Borrower data enters through chat or forms → AI parses documents and computes eligibility → lender criteria are matched → decision‑ready packages route via APIs or console.
  • Docs → AI extraction → DSCR/DTI → risk flags → snapshot.
  • Real‑time lender matching with criteria & capacity constraints.
  • Audit trail & compliance baked into every step.
Screens & Flows (Illustrative)

Borrow · Score · Match — AI powering every step

Borrower Intake & Chat
Ticketech iOS POS session mock: open ticket, tip, close, print receipt
Decision Snapshot & Metrics
Unified back office dashboard mock: revenue book, per-location revenue, tickets and touchpoints
Lender Console & Pipeline
Fraud & Bulk Close dashboard mock: risk alerts, stale overrides, bulk close status
Impact

Faster offers, higher match rates, auditable operations

-40%
Time‑to‑offer
+35%
Lender match rate
99.99%
Uptime with DR
SOC2
Audit‑ready infra
Tech Stack & Approach

Secure-by-default Credit OS with practical AI

Operators get speed; lenders get trust. The stack blends robust identity, compliant cloud, and pragmatic AI that keeps humans in the loop.
  • Next.js (FE), NestJS/Node (BE), Python (AI)
  • PostgreSQL + Redis + S3; audit logs & snapshots
  • Vercel/Render + AWS; WAF, DR, and RBAC
  • LLM-powered doc extraction and scoring
Ops Snapshot
illustrative
Active Lenders
120+
Borrower Apps
5K+
Avg Approval
3 Days
AI Match Accuracy
92%
  • Borrower Intake
  • Lender Routing
  • AI Scoring

Build your credit platform with Theecode

Start with a Dev+AI pod. Go live in days, not months.

  • Underwriting AI with policy orchestration
  • LOS/LMS, borrower flows, servicing, and dashboards
  • Predictable pricing • From $5k/month