CREUW AI: Deal management and underwriting platform
A commercial real estate platform that follows one deal from first look to investment committee.
Visit live project (creuw-ai.vercel.app, opens in a new tab)
PipelineDealUnderwritingMarketAI analysisIC memo


- Client
- CREUW.AI
- Industry
- Commercial real estate
- Platforms
- Web application
- What SOLOGEN did
- Product and interface design
- Web platform engineering
- AI document analysis
Why it matters
An acquisition usually lives in a pipeline spreadsheet, a financial model, a comps report and a memo. Here they are one record, so a changed assumption changes all of them.
CREUW AI is built for the people who buy commercial property: solo underwriters, acquisition teams and institutional platforms. It tracks every deal through a pipeline and opens each one into ten connected workspaces.
The product's own public site walks through it as six levels: Pipeline, Deal, Underwriting, Market, AI analysis and IC memo. We have used the same order here.
The challenge
Underwriting a property means reading an offering memorandum, rebuilding its numbers in a model, checking them against the market and writing it all up for committee. Each step tends to live in a different file, so the same figure is typed several times and can end up disagreeing with itself.
What we built
One deal record. A pipeline table carries every property through six stages. Each deal opens into overview, financials, tenants, rollover, return metrics, GP/LP waterfall, market, IC memo, notes and AI analysis, and all ten read from the same inputs. Change the rent assumption once and the proforma, the debt coverage, the waterfall and the memo move with it.
- Deal pipeline
- Financial modelling
- Document intelligence
- Market comparables
- Memo generation
- Subscription billing
One deal, six levels
Pipeline
Every deal in one live table, each at one of six stages from new lead to closed.
Deal
Facts, tenants, returns, documents and notes in a single record.
Underwriting
Change an assumption once. The proforma, debt and returns follow.
Market
Demographics, submarket and lease comparables around the property.
AI analysis
Drop in the offering memorandum. The metrics are extracted into editable fields.
IC memo
Walk into committee with the memo written, and a recommendation that follows your thresholds.
The product
Frames from CREUW AI's public walkthrough. The deal shown is a sample with illustrative data, computed with the product's own model.






What makes it interesting
The AI fills in the fields. It does not get the last word.
Upload an offering memorandum and the metrics are extracted into editable fields, to be reviewed and overridden before anything drives the model. The memo's recommendation is recalculated from thresholds the team sets itself: minimum DSCR, levered IRR and hold period.
What is in it
Deal pipeline tracker
Six stages, one table: portfolio value, average cap rate and active deals at a glance.
NOI and 10-year proforma
Cash flow, debt service and returns modelled per deal, with rollover analysis.
GP/LP waterfall
Distributions between partners, calculated from the same inputs as the returns.
Offering memorandum analysis
PDF parsing that turns a broker's document into structured, editable deal metrics.
Market intelligence
Lease comparables plotted around the subject property.
IC memo generator
A committee-ready memo assembled from the model, not retyped from it.
Private by company
Deals, documents and notes isolated per company with row-level security.
Plans sized by active deals
Three subscription tiers with a free first analysis, billed through Stripe.
What you can check
- Live product
- creuw-ai.vercel.app
- Workspaces per deal
- Ten, reading from one set of inputs
- Plans
- Starter, Professional and Enterprise
Technology that is publicly visible
- Next.js
- Vercel
- Stripe billing
- Row-level security
We list what anyone can verify. Results belong to our clients, so we do not publish numbers here that they have not published themselves.
How it looks, and why
Graphite surfaces, teal for action, gold for the one deal being followed, and a serif reserved for the committee memo.
Built with
- Web DevelopmentWeb applications, SaaS platforms and the systems behind them, engineered to stay fast and easy to extend.
- AI & Machine LearningCopilots, intelligent workflows, document intelligence and prediction, built into real products and measured before they are trusted.
- UI/UX & Product DesignResearch, flows, prototypes, interfaces and design systems, shaped alongside the engineers who build them.
- Real Estate softwareProperty, searchable and transactable.




