Deal docs in. Polished write-ups out.
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The difference
How it works
Sponsor PDFs, Excel models, and third-party reports go in. Memosa runs parallel CRE analysis, assembles a structured memo your team can edit and approve, and tracks every deal across your pipeline.
Step 01
Step 02
Simultaneous analysis streams — financial, risk, market, comparables, model integrity, exit — every page, every embedded table and chart, cross-referenced and sourced
Step 03
Asset-class native
Specialized templates for multifamily, student housing, hospitality, industrial, and office — with first-class support for retail, mixed-use, self-storage, life sciences, medical office, senior housing, and land.
Six deep brushes — audit, enrich, quantify, compliance, compare, and deal structure — each running multi-step research with iterative self-critique. Three quick brushes (improve, source-it, market context) handle fast in-line edits. Deep brushes plan, search, evaluate, and refine until the output meets CRE standards. Web research pulls live market data via Perplexity and Claude Web Search to ground every finding.
Every section gets a readiness grade across five weighted dimensions — content quality, completeness, approval status, freshness, and model integrity. Thirty learning modules surface exactly what needs attention before IC review, with remediation hints that link directly to the right brush or action.
Sixteen canonical sections — from executive summary and key metrics through investment rationale, property and financial analysis, capital stack, risk factors, market and rental comparables, sponsor background, and exit strategy — all pre-populated and sourced to your docs. Add supplementary sections and customize the structure to match your committee's exact format.
Drop in any sponsor model. Memosa parses 16 tab families — rent rolls, pro formas, waterfalls, debt schedules, construction draws, CapEx, OpEx, assumptions, sensitivity, sources/uses, property facts, returns, and tax — auto-detects monthly vs. annual debt schedules, reconstructs the DCF independently, and grades model integrity 0–100. Hardcoded overrides, missing reserves, circular references, and optimistic divergence are flagged before they reach your committee. The Compliance Gate blocks Investor Packet export when the document falls below grade B — with every blocker listed by name. LLM-assisted parsing handles non-standard column headers that defeat conventional parsers.
Google Docs-level real-time editing — built on operational transforms with ProseMirror and Redis, not polling. Collaborative cursors, inline comments, section approvals, and full version history. Five role levels across organizations and teams, with pending invites and a pipeline board tracking every deal from intake to IC decision.
Memosa auto-detects deal type — equity, debt, or fund — and generates polished slide decks with 18 chart types plus 4 auto-emitted heuristics: capital stacks, waterfalls, sensitivity heatmaps, tornado diagrams, NOI trajectories, combo charts — plus 3D sensitivity slices, rent-cohort matrices, capex-variance, and line-item-volatility views that surface automatically when your data shape calls for them. Every chart sourced to your data.
Compare deals side-by-side — metrics, quality scores, and readiness with benchmark bands. Track sponsor performance across your portfolio. Surface asset class risk patterns and benchmark cap rates, IRR, and DSCR. Privacy-safe anonymization ensures benchmarks never expose individual deal terms.
Ask any question about your deal docs — or start a new deal by chatting. Upload documents, and Memosa’s intake chat names the deal, guides you through missing info, and generates your first draft. Three response tiers — instant answers, retrieval-augmented lookups, and deep agentic research — for the right depth on every question.
Live propagation
Memosa maps every formula dependency across your memo. When a cap rate shifts, NOI recalculates, returns adjust, risk flags update, and sensitivity tables rebalance — automatically, with full audit trail.
Preview every change. Approve, undo, or override. Amber-flash markers show every section the engine touched. Full audit trail.
Citation Intelligence
Every number, claim, and comp links back to the exact source page — no hallucinations, no unsourced assertions. Memosa goes further: footnotes flag model-quality concerns, surface conflicts when sources disagree, trace formula assumptions back through the chain, and grade each section's citation coverage A–F. Stale sources get freshness warnings. Your IC sees not just where each claim came from, but how confident to be in it.
Inside every footnote
When two sources disagree on a number, the footnote flags the conflict and shows both — no silent reconciliation.
If the underlying workbook has hardcoded overrides, missing reserves, or circular references, the citation says so before your IC asks.
Top financial metrics carry a footnote tracing the formula chain back to its inputs — see what feeds NOI, cap rate, IRR.
Sources older than 180 days get an automatic age flag, so your committee knows when to re-verify.
Retrieval intelligence
Most AI memo tools are wrappers around a chat API. Memosa runs a five-stage retrieval pipeline — multimodal embeddings, cross-encoder reranking, LM semantic reranking, query decomposition, and source-precedence guards — so the citation behind every claim is the chunk that actually answers the question, not just the chunk that looks similar.
Charts, diagrams, and tables embed as images, not just OCR. Visual questions route to a dedicated multimodal index that sees what your PDFs show.
Voyage cross-encoder, then a Haiku LM reranker, then diversity guards. Your IC sees the most relevant chunk, not the most-similar one.
Every PDF page scored on substance density. Page 3 of a CoStar report beats the cover. Branding pages and table-of-contents noise get filtered out.
Complex questions auto-fan out into sub-queries. "How does this deal compare to the sponsor's last three Class B value-adds?" becomes four parallel retrievals, then merges.
Quality intelligence
Memosa tracks patterns across your deal history. The more your team runs, the more precisely it matches your IC's expectations - calibrated to your deal types, your committee's preferences, your standards. No prompt engineering. No manual tuning. It learns.
Built by the team at EquityMultiple - for investment teams who take underwriting seriously.
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