The AI partner for
private markets.
We embed with real estate and private equity firms and build the AI systems they actually use — screening, underwriting, sourcing, firm memory. Working software in weeks. No decks.
FW: 450 Park Ave — Eastdil Offering Memorandum
Just got this from Marcus at Eastdil. $180M ask, Midtown office. Worth a look?
Midtown office, $150–250M, stabilized. Buy box match.
Eastdil has sent your firm 23 deals since 2021. 4 reached LOI. Marcus Chen specifically — 8 deals, 35% hit rate.
Your firm underwrote this asset Q3 2019 at $165M — passed on retail basis risk. Corridor vacancy since dropped 18% → 6%.
Cap rate at ask: 5.2%. Your last 3 Midtown bids averaged 5.45%. Submarket rents +12% YoY.
IC memo drafted. Broker reply composed. David flagged — LP Group B expressed Midtown office interest this quarter.
Trusted by firms with $5 Billion in AUM
The asset nobody is using
Your firm's most valuable asset is already inside your firm.
Twenty years of deal flow. Every memo, every IC discussion, every broker relationship, every call that was right, every call that was wrong. It sits in Outlook threads, PDF attachments, SharePoint folders, and the heads of your longest-tenured partners.
When a senior partner retires, most of it walks out the door. When a new deal lands on a Tuesday morning, the firm reinvents context it already paid to learn.
Generic AI tools don't fix this. A chatbot plugged into one inbox gives toy answers. The intelligence only shows up when the whole firm is unified — and someone builds on top of it.
That's the work we do.
What we build
Real systems, running inside real firms. Every engagement is different. The work looks like this.
A firm operating system.
One system that holds the firm’s knowledge and runs its workflows — deals, documents, relationships, decisions. Everyone, and every agent, works from the same source of truth.
Deal screening and underwriting.
Inbound flow screened against your criteria, triaged, and underwritten — with the first-pass memo done before your team has opened the email.
Off-market sourcing.
Public records and market signals mined for owners likely to sell, so you’re in the door before the deal is a listing.
Engagements
How an engagement runs.
01
Mapping
We spend the first week inside your firm — reading memos, sitting on IC, shadowing acquisitions. You walk away with a concrete plan naming the intelligence gaps that are costing your team deals, and what we’ll build to close them.
02
Unification
We provision your private data layer and ingest the sources that matter: email, CRM, diligence archives, underwriting models, market data, public records. Within weeks, your firm’s full corpus becomes searchable for the first time.
03
Agents
We build the first agents against your workflows — deal screening, underwriting, memo drafting, relationship recall, market queries — and deploy them where your team already works. Analysts start answering questions the firm could not previously answer at all.
04
Operation
We stay embedded. New questions, new sources, new capabilities ship every month. The longer the system runs, the sharper it gets.
Team
Engineers backed by
veteran CRE operators.
Strategic Advisors
Previously built
frontstep.ai
Built in 3 months. Won a cash prize at Northeastern's startup competition. Acquired within months of launch. The platform automatically qualified thousands of renters.
Security
Your firm's data stays your firm's.
Every Dealwire deployment runs on infrastructure provisioned for your firm alone. Your data is never mingled with another client's, and it is never used to train an AI model.
Read our security commitments