A single commercial lease generates $500K–$3M in broker commission. Yet the top of the commercial brokerage funnel is still cold outreach, referrals, and Excel. Newmark Intelligence fixes the entire journey — from first inquiry to signed lease — with AI at every step.
Email, SMS, and web chat run through a single AI agent that extracts SF, submarket, budget, timeline, and asset class — then scores the lead HOT/WARM/COLD and routes it to the right broker by submarket and asset-class expertise.
Qualifying → Touring → Proposal → LOI → Signed, tracked as first-class deals with pgvector matching against live inventory. AI drafts space-comparison proposals and LOI summaries; brokers review, edit, send.
Predictive signals on every active deal — GONE_QUIET, STALE_STAGE, HIGH_COMPETITION, NEW_COMPETITION. Pre-call briefings surface company background, tours taken, and competitive context before every conversation.
A broker-facing agent with 14 tools — callable from the in-app chat, Claude Desktop, Cursor, or any MCP runtime. “What’s at risk in my pipeline?” “Draft a pre-call brief for the Deloitte deal.” No dashboard required.
In a world where AI handles the cognitive labor, the broker’s job becomes pure relationship and judgment. Newmark Intelligence handles everything except the relationship.
SMS, email, and web chat land in one normalized stream. Deduplicated, tenant-scoped, compliance-filtered.
AI extracts SF, submarket, budget, timeline, asset class. Lead scored HOT/WARM/COLD.
pgvector semantic search ranks the top five available properties against the prospect’s brief.
Auto-assignment by submarket and asset-class expertise. Fire-and-forget after each AI turn.
Pre-call briefings surface background, toured properties, urgency, and numbered talking points.
AI schedules tours through the broker’s own Google or Microsoft calendar. Teams or Meet link included.
Space-comparison proposals and LOI summaries drafted from deal data. Broker edits and sends.
Pipeline advances through Qualifying → Touring → Proposal → LOI → Signed with at-risk signals surfacing daily.
Every tool the broker uses — list leads, advance stage, search properties, draft a proposal, run a comp analysis — is exposed as an MCP tool. Brokers work in Claude Desktop, Cursor, or any agent runtime. Newmark Intelligence is the CRE-specific tool server that any enterprise AI can call.
{
"mcpServers": {
"newmark": {
"command": "node",
"args": [".../mcp-server/dist/index.js"],
"env": {
"NLA_API_URL": "https://api.newmarkai.com",
"NLA_TOKEN": "<broker-jwt>"
}
}
}
}Years of comp data, tenant-movement patterns, and submarket absorption rates — the training signal that makes AI recommendations defensible and accurate.
The distribution channel to prove it works, then sell it outward to regional firms who compete with CBRE and JLL but can’t build their own tech.
Supply-side access that surfaces real, current availability — not stale public listings from LoopNet or CoStar.
Enterprise tenants will engage with Newmark’s AI where they’d ignore a startup’s chatbot. Institutional credibility is a product feature.
One price, one decision. Invoiced annually, paid by ACH. Sales-assisted onboarding — no self-serve credit card checkout. A $49K plan against a $15M commission book is 0.3% of revenue.
Per-seat pricing creates renewal friction at the managing-partner level. One number, one decision.
Stripe subscription, net-30 invoice, bank transfer. Customer self-serves via the Stripe Portal.
Reasonable AI usage included. Heavy usage above ~5,000 agent calls/month triggers an upgrade conversation.
Elise and Uniti target per-building residential or commercial property management. Newmark Intelligence is brokerage-native: deal pipeline, broker workflow, comp analysis, and deal intelligence — not just inquiry handling. One AI per firm, not one AI per building.
Request access for your brokerage. A Newmark representative will reach out within one business day to scope onboarding and begin your trial.