Solutions for
specialist lenders
Whether you're writing bridging loans, funding developments, or managing a BTL portfolio — Landworth automates the manual valuation and DD workflows that slow your team down.
Bridging
Speed is everything — brokers choose lenders who move fastest.
Manual valuations and DD slow down offers.
Disparate data sources assembled by hand introduce inconsistency and delay.
Data Intake
- →Broker portal submission or email
- →Property address and basic deal terms
- →Borrower information (name, entity, track record)
Landworth Engine
AI Automation
- Automated desktop valuation with comparable evidence on intake
- Parallel DD checks: title, planning, flood, EPC, environmental
- Deal summary auto-populated from valuation + DD outputs
Human Underwriting
- Underwriter reviews valuation and DD results
- Override with reason codes where policy allows
- Sign-off captured before deal goes to committee
Ready for Committee
- Committee-ready deal summary with evidence links
- Full evidence pack (DD results, comparables, planning data)
- Exportable PDF/Word for committee distribution
Development finance
Development deals need planning data, build-cost estimates, and GDV analysis — spread across multiple tools.
Assembling data for a development deal is one of the most time-consuming tasks in credit.
Monitoring drawdown conditions adds ongoing manual work.
Data Intake
- →Site address, existing use, proposed development details
- →Architect plans and build specification (optional, for enrichment)
- →Borrower track record and development experience
Landworth Engine
AI Automation
- Planning history, local authority context, and building regulation data
- Build-cost benchmarks by region, build type, and specification
- Desktop valuation + GDV analysis with comparable development evidence
- DD checks tailored to development: contamination, access, utilities
Human Underwriting
- Credit analyst reviews development assumptions and build costs
- Underwriter signs off on valuation and GDV
- Staged approvals for phased drawdowns (configurable)
Ready for Committee
- Development-specific deal summary template
- Build-cost summary with data sources
- Planning and environmental evidence pack
- Monitoring dashboard for drawdown conditions
Portfolio BTL / loan-book monitoring
Portfolio lenders need to value and monitor hundreds or thousands of properties.
Annual revaluations and covenant monitoring are labour-intensive.
Board and investor reporting requires defensible data with clear provenance.
Data Intake
- →Portfolio data import (CSV, API, or existing system)
- →Current loan balances and terms
- →Monitoring frequency and alert threshold settings
Landworth Engine
AI Automation
- Bulk automated valuations across entire portfolios
- Ongoing monitoring with configurable alert thresholds
- LTV recalculation and covenant tracking at portfolio level
- Aggregated DD refresh on material changes
Human Underwriting
- Team reviews flagged properties (material value changes, covenant breaches)
- Exceptions escalated to senior credit or risk
- Sign-off on periodic portfolio reports
Ready for Committee
- Portfolio valuation summary with property-level detail
- Change and movement reports with evidence
- Board/investor pack (exportable PDF)
- Covenant compliance dashboard
Broker experience that
increases submissions
Win more business by giving brokers a frictionless, fast, and fully transparent submission process. Eliminate the black box.
Branded portal
Your brokers submit deals through a branded portal with structured forms and indicative AVM. Professional, fast, and consistent.
Real-time updates
Brokers see where their deals stand — no more chasing your BDMs for updates. Transparent status tracking builds unshakeable confidence.
Zero email chains
Structured intake means brokers provide complete information upfront. Less chasing, faster processing, and drastically better broker relationships.
Ready to upgrade your
lending workflows?
Tell us about your deal types and volumes, and we'll show you what Landworth looks like for your specific processes.