After 12+ years in institutional CRE — underwriting at Freddie Mac, closing loans at Blackstone's lending platform, leading originations at Wells Fargo — one pattern became impossible to ignore: the industry's analytical processes hadn't meaningfully evolved in two decades.
Rent rolls still arrived as emailed PDFs. Market analysis meant logging into four different platforms and manually cross-referencing data. A single underwriting package took weeks of analyst hours. The inefficiency wasn't a bug — it was the entire operating model.
When Claude and the broader LLM ecosystem reached a level of reasoning sophistication that could actually handle financial analysis, the opportunity became clear. Not to build another proptech tool — but to build an entirely new kind of real estate firm.
Claude-powered agent that ingests rent rolls, T-12 operating statements, and market comps to generate full institutional-quality underwriting packages. Produces DCF models, sensitivity tables, and investment memos in under 15 minutes.
Autonomous sourcing agent monitoring broker listings, CMBS delinquency reports, public records, and off-market signals across 8 target markets. Surfaces high-conviction opportunities and generates preliminary screening memos before human review.
Real-time monitoring platform tracking occupancy trends, rent collection, loan covenant compliance, and early warning indicators across every position in the portfolio. Exception-based alerting with human-in-the-loop escalation.
Ingests 100+ page due diligence packages — PSAs, environmental reports, title commitments, loan docs — and extracts key terms, flags risks, and cross-references against our deal criteria. Reduces DD review from days to hours.
Generates LP-quality quarterly reports, capital call memos, distribution waterfall calculations, and K-1 preparation summaries. Full audit trail with version control and approval workflows.
Purpose-built for our CRE debt positions. Monitors borrower financials, property-level performance, DSCR trends, and market conditions to generate real-time credit risk assessments and watchlist recommendations.
Our AI capabilities weren't developed in a vacuum. The same founder has designed, architected, and deployed production AI systems across five additional verticals — each one sharpening the agent engineering, API architecture, and automation patterns now applied to real estate.
Built autonomous systems for real-time data arbitrage across prediction markets — identifying pricing inefficiencies, executing risk-managed positions, and deploying capital programmatically with human approval gates.
Developed statistical modeling engines for sports analytics — line shopping algorithms, correlation-aware portfolio construction, deviation detection, and expected-value optimization across multiple data sources.
Architected full-stack intelligence platforms for e-commerce operations — automated product research, competitive analysis, pricing optimization, supplier discovery, and inventory management using AI agents.
Designed multi-station production pipelines for AI-generated content at scale — niche discovery, script generation, voice synthesis, assembly automation, and performance analytics with human review checkpoints.
Built AI-powered SaaS applications from zero to deployment — authentication systems, payment infrastructure, API architecture, and user-facing AI features using Claude as the reasoning engine.
We're seeking technology partners, capital allocators, and co-investors who believe AI-native firms will define the next era of real estate.