The intelligence layer for institutional CRE credit.
$2T+ in CRE debt, normalized across private (LifeCo) and public (CMBS, HUD, Freddie, CRE CLO) debt layers. Entity resolution, capital-stack triangulation, and capital graph assembly connecting allocators, lenders, sponsors, and properties. Agent-native via MCP.
The CRE credit intelligence layer has been structurally missing.
Not for lack of data. The filings are public.
For lack of economics. Assembling institutional CRE credit intelligence from primary regulatory sources required labor no incumbent would fund at scale. Transaction feeds captured one layer. Consortium loan tapes captured another. Fund-report databases captured a third. Each incumbent worked within a single regime. None assembled the whole capital stack — because the old build model couldn’t justify it.
The economics flipped.
A concentrated domain operator can now assemble in a quarter what once took a multi-year, multi-million-dollar build. Domain expertise governs correctness; modern tooling provides the leverage. The unit economics of building institutional intelligence from primary sources are no longer out of reach.
Alpine Systems is the first production instance of that shift, applied to institutional CRE credit.
Three debt layers. One normalized corpus.
Incumbents work one layer at a time. Alpine normalizes them into a single queryable intelligence layer, then triangulates sponsors across the stack. Property address is the exhaust data — not the organizing principle.
mREIT
Mortgage REITs aren’t required to disclose loan-by-loan — they report group-level debt buckets in their public disclosures. Alpine normalizes both: the group buckets across the tracked public mREIT universe, and row-level loan detail where issuers voluntarily publish tapes. This is the opaque layer incumbents can’t see through.
LifeCo
Insurance company mortgage loans from public statutory filings. Loan-level, dedup’d across the 5-year rolling window with origination dates, rate detail and more. Complete first-mortgage CRE debt held on LifeCo general-account balance sheets.
CMBS · HUD FHA · Freddie
Public CMBS, agency (HUD and Freddie Mac), and CRE CLO disclosures. Loan-level public debt cross-referenced against the private and mREIT layers so sponsor exposure is visible across first-mortgage, mezzanine, and securitized tranches.
One first mortgage per deal. One sponsor across many deals. The capital family becomes visible only when the layers are normalized together.
Each deal has a single first-mortgage lender — a LifeCo, a CMBS trust, a Freddie K-deal, or a bank — often paired with a mezzanine tranche from an mREIT or debt fund. Alpine normalizes every layer and resolves the sponsor across the full book of financings. Capital-family dependency, cross-lender concentration, and refinancing clustering are visible at the sponsor level — not on any single stack.
A single intelligence layer across private CRE credit.
Primary-source extraction, cross-regime normalization, confidence-scored entity resolution, and capital graph assembly — delivered as agent-native infrastructure, not a dashboard.
Normalized Debt Coverage
$2T+ in institutional CRE credit across private (LifeCo) and public (CMBS, agency, and CRE CLO) debt layers. 130K+ loans. Extracted from primary regulatory filings and normalized into a single queryable schema.
Confidence-Scored Entity Resolution
Dynamic, risk-weighted entity resolution. We prioritize resolution compute on near-term maturities and high-pressure assets—starting with the most opaque LifeCo debt—mapping LLCs to UBOs where the market needs visibility most. Confidence tier assigned at every link — not asserted, scored.
Capital Graph Assembly
Allocators, lenders, sponsors, borrowers, and properties connected into a single capital graph. Cross-lender exposure and capital-family dependency visible in one query.
Decision-Ready Signals
Rate pressure, maturity timing, concentration risk. Scored per loan on a continuous cadence. Delivered via REST, webhooks, and agent-native MCP.
Query-based. Rate-limited. API-first.
RESTful JSON API with cursor pagination, per-tier rate limits, and structured query parameters. Designed for direct integration into internal systems, models, and research workflows.
GET /v1/loans?state=NY&rate_pressure=SEVERE&per_page=25
{
"data": [
{
"loan_number": "loan_demo_01842",
"lender": "Northbridge Life",
"city": "New York",
"state": "NY",
"book_value": 45000000,
"interest_rate": 3.15,
"maturity_date": "2027-09-15",
"maturity_timing": "CRITICAL",
"rate_pressure": "SEVERE",
"rate_pressure_score": 285,
"composite_market_factor": 87
}
],
"pagination": {
"page": 1,
"per_page": 25,
"total": 1247
},
"rate_limit": {
"remaining": 59,
"reset": "2026-04-18T12:01:00Z"
}
}One entity family, made visible.
Before — an anonymous LLC appears to hold a single $45M loan from one LifeCo. After — that LLC resolves to a sponsor family carrying $287.5M across 14 loans, with 60% maturing inside eighteen months. No name — just the shape. See the records →
- 25+ fields per loan record
- Proprietary signal taxonomy across rate environment, maturity timing, and concentration risk
- Multi-year analytics across refinancing, amortization, and disposition context
- Cursor pagination, rate limiting, and usage controls
- Full OpenAPI 3.1 specification included
The agents run. Humans supervise.
The same agentic tooling that compressed the build from years into a quarter is what keeps the platform current. Extraction, normalization, and signal generation run autonomously on every new filing. Human judgment gates the decisions that require it — confidence boundaries, new entity resolutions, source schema changes. The machine does the volume. The operator adjudicates the edges.
Built for institutional standards
All platform components are deployed on independently audited US-hosted infrastructure. No offshore processing. No third-party data brokers.
Providers maintain SOC 2 Type II attestations. Data is protected with AES-256 encryption at rest and TLS 1.2+ in transit.
All data is sourced from public filings and regulatory records. No purchased consumer data. No opaque third-party sourcing.
Per-key API authentication, tier-based rate limiting, request logging, audit trails, and tenant-isolated architecture.
Security diligence materials and questionnaire responses are available on request.
Talk to Andrew.
The platform is live. Strategic partnerships and operational access run on different commercial terms — both start with a conversation with me directly.
Design Partner AccessFor LifeCo risk, reinsurance, distressed credit, and institutional LP advisory workflows. Scoped API and MCP access under custom commercial terms.
Strategic Discussions & PartnershipsFor platform partnerships, embedded deployments, exclusive field-of-use engagements, and proprietary infrastructure integration.