At a Glance
The largest private construction lender in the country extends credit lines to homebuilders. When it brought on a new institutional capital partner, it inherited a rigorous new reporting standard: every credit decision now had to be backed by consistent, defensible market data, presented in a specific format, across every deal.
The problem wasn't a lack of data. It was that the data lived everywhere. Underwriters were pulling from public sources, running ad-hoc Google searches, building maps by hand, and copy-pasting the results into Excel and PowerPoint. Assembling just the market-data portion of a single underwriting package took a few days — before any borrower-specific analysis even began.
The lender adopted Locate Alpha as the single source of truth for market analytics across its underwriting, credit, and appraisal teams — with a clear path from manual, in-platform data pulls today to one-click, API-generated credit memos tomorrow.
The Challenge - Why they Needed Us
A new capital partner raised the bar overnight. The lender closed with a new institutional capital partner. That partnership came with mandatory deliverables: Exposure Limit decks and Project Screening/Overview packages built on standardized metrics: year-over-year home price appreciation, months of supply, days on market, absorption, comparable-community pricing — presented in the partner's prescribed format for every deal.
The existing process didn't scale. Market data was scattered across multiple websites and tools. Maps were created externally and pasted into decks. Metrics were compiled by hand into spreadsheets and slides. There was no standardization in the underlying dataset, or how it was presented. The result was slow, inconsistent, and pulled underwriters away from the analytical work they were actually hired to do.
The team was scaling fast. The lender was running with roughly ten underwriters, about half of whom were new. A fragmented, tribal-knowledge process is exactly the kind of thing that breaks when a team doubles. Leadership needed repeatable processes and a single, trusted data source so that any underwriter, whether new or tenured, would produce the same defensible analysis the same way.
In short: a manual process measured in days, and a rapidly growing team created real pressure to standardize — fast.
The Solution - Where the Use Case Settled
The lender rolled out Locate Alpha in deliberate phases, mirroring the change-management playbook from a prior successful software launch: heavy pre-launch coordination, multiple recorded training sessions, and clear documentation of exactly where each required metric lives in the platform.
Phase 1 — Standardize on the platform ("crawl"). Underwriters and credit officers use Locate Alpha's Core Analytics directly to source every market metric their decks require. Neighborhood Insights supplies market conditions and year-over-year trends at metro, county, and ZIP level. Community Analytics delivers absorption and months-of-supply by subdivision, school zone, or custom polygon. Demographics heat maps, school-performance trends, major-employer proximity, and parcel-level detail round out the credit memo. Comps, market history, and custom views export to CSV and PDF to populate the partner's templates — replacing days of multi-source gathering with a single, consistent workflow.
A single source of truth across teams. Rather than a point tool for one group, Locate Alpha became the shared data backbone for underwriting, credit, appraisal, and strategic operations — the platform every team pulls from so that metrics and methodology are consistent deal to deal. For appraisal, Locate Alpha's absorption analytics run alongside another vendor with a path to consolidate.
Phase 2 — Automate with the API The long-term mandate is one-click generation. The lender's technology team is integrating Locate Alpha's API — which mirrors the platform's data — into the loan management system, so standardized market data flows straight into credit memos and exposure decks without manual assembly. That frees underwriters to focus entirely on borrower-specific credit analysis.
Enablement built for adoption. Locate Alpha delivered training tailored to the lender: multiple live sessions with recordings, a metric-by-metric map from each required deck field to its location in the platform, and ongoing office hours as the teams "kick the tires."
The Goals
One platform replaces a patchwork. Redfin Data Center, manual web research, and hand-built maps consolidated into a single, standardized source for market analytics.
Days of data-gathering, compressed. The market-data portion of an underwriting package — previously a multi-day, multi-source effort — is now sourced from one platform, with export straight into partner templates.
Consistency by design. Standardized metrics and documented SOPs mean every underwriter, including recent hires, produces the same defensible analysis — meeting the capital partner's requirements deal after deal.
Adoption across the business. Underwriting, credit, appraisal, and strategic operations all work from the same data backbone, with appraisal positioned to consolidate off Zonda.
Built to automate. With API integration into the loan management system underway, the lender is on a path to one-click, fully automated credit memos.
Why Locate Alpha
The lender didn't need more data — it needed the same data, every time, fast enough to keep up with a demanding capital partner and a growing team. Locate Alpha delivered the standardized market intelligence its underwriters, credit officers, and appraisers rely on, in one platform, with an API path to eliminate manual work entirely. The same platform trusted by leading institutional real estate investors now underpins how the nation's largest private construction lender underwrites every deal.
"Everything is housed in one area and it's all consistent. The methodology is consistent, so there shouldn't be any questions." - Client project lead
