NewWhen S*** Hits Fans: Hidden Risks in CRERead more

Every deal your firm has ever seen,working on the next one

Starboard is the context engine for commercial real estate investors

AI in commercial real estate

Having AI stopped being the edge.

Every firm is picking up the same models. What they cannot pick up is what your firm already knows. That gap compounds for years before it shows in returns.

Document Intelligence in CRE · A Rough Timeline
The adoption curve, roughly datedWhat a team can know →201920212023202520262027Manual ReviewAnalyst-hours · file storage systemsChat AssistantsSingle-document Q&ACopilotsPer-document retrievalCurated AI WorkflowsMemos without firm memoryContext-NativeFirm memory built into every deal

Most firms sit between chat assistants and copilots. The steep part of the curve is just starting.

Where Firms Sit Today
Share of institutional CRE firms · directional estimates
Manual Review
Analyst-hours · file storage systems
~36%
Chat Assistants
Single-document Q&A
~39%
Copilots
Per-document retrieval
~17%
Curated AI Workflows
Memos without firm memory
~7%
Context-Native
Firm memory built into every deal
The dashed segment: the next ~3%, making the jump within 6 months. The firms the rest will be chasing.
~1%

The sliver at the bottom is context-native. The dashed segment beside it is who joins them next.

The firms that pull ahead will be the ones whose AI knows their deals.

Where the misses come from

Your team already runs deals through AI. It has never seen your deals.

01

No citations

The model can extract a number. It cannot point to the page it came from. So every figure gets re-verified by hand, and the bid goes in late.

02

No memory of your firm

A tenant that went dark on you in 2023 shows up on a new deal's rent roll. Nothing flags it until you own the building.

03

No market understanding

The pro forma says renewals at $1,450. Your own record in that submarket says $1,275. The model has never read your rent rolls, so the question never gets asked.

An underwriter thinks. The model summarizes. No prompt fixes that. Read the full article

Meet Starboard

Your deal history is your edge.

Starboard structures every OM, rent roll, T-12, model, and memo your firm has ever touched, then reads each new deal against all of it.

How it works

Three steps between a data room and conviction.

01

Extract

Every document is broken down into the fields that matter: rents, tenants, lease terms, formulas.

02

Connect

A tenant on a new rent roll links to every lease of theirs your firm has ever seen.

03

Cite

Every fact keeps a link back to the document, the page, the cell it came from.

Deals
24
Connections
18
ABC IndustrialTenantConcorde, MASubmarketOstermere CapitalLenderParish PartnersCo-GPPhase I ESAEnviro riskDavid JonesBroker
DealsnameThe people & terms they share. Click one to light up its deals.

Your whole deal history, working on the deal in front of you. See the full pipeline on the product page

app.starboard-ai.com
Your deal data stays yours. It never trains models.

Purpose-built for CRE underwriting, deployed to institutional security standards. SOC 2 Type II.

How we handle your data →

Better investors, or just faster ones?

Send us one deal you're evaluating this week. We'll show you what Starboard does with it.

SOC 2 Type II. Your deal data never trains models. Trust center