AI agents built for
real estate.

Start with one workflow. Prove ROI in weeks, not quarters. Then expand. We build production-grade AI agents purpose-built for how CRE actually operates — so the investment pays for itself before you scale.

50+

CRE & enterprise connectors

8 wks

Idea to production

100%

Auditable from day 1

How We Help

Start small. Prove value.
Then scale what works.

Pick one use case where the ROI alone justifies the investment. We’ll build it, prove it, and hand you the playbook to expand — on your timeline and in your systems.

01 — Advisory

Advisory

Strategy to validated use cases

We run workshops, idea jams, and governance design sessions. You walk away with use cases scoped to your workflows — not a slide deck.

02 — Solutions

Tailored Solutions

6–8 weeks to production

Custom-built AI agents designed around your specific bottlenecks — leasing, deal intelligence, stakeholder reporting. We connect to what you already have.

03 — Teams

AI-Ready Teams

Embedded experts, ongoing

Dedicated pods working inside your organization. Build internal AI confidence while shipping real results with experienced hands alongside your people.

The Process

One use case. Eight weeks.
ROI before you scale.

Week 1

Discover & Decide

Map the workflow, pick the bottleneck

Week 2

Evaluate & Refine

Clickable prototype, stakeholder review

Weeks 3–5

Build & Test

Integrate, govern, stress-test

Week 6

Go Live

Deploy to real users, monitor

Weeks 7–8

Prove & Decide

ROI justifies the next move

Clickable in 3 days. Measurable in 8 weeks. Start with one high-impact workflow. Prove the returns. Then decide what’s next — with data, not guesswork.

Testimonials

Real stories, happy clients

What impressed me most was the depth of Lumi’s agentic orchestration — multiple AI agents coordinating across complex workflows in real time.

Vinay Rudrappa

SVP Platform Engineering

Lumi transformed our FDA compliance workflow. Our MLR review process — medical, legal, regulatory — used to take weeks of back-and-forth. Now an agent pre-screens submissions, flags compliance issues, and routes approvals automatically. We cut review cycles by 60%.

Paula Hackl

Chief Transformation Officer

Lumi built our real estate advisory platform from scratch in eight weeks. Tenants and brokers ask questions in plain language and get matched to the right space instantly — 24/7. It handles more inquiries than our leasing team ever could, and the conversion lift has been remarkable.

Naveen Kumar

CEO

The sidecar deployment model was a game-changer. We integrated with our Oracle and SAP systems in weeks, not months.

Thomas Lauzon

EVP

We picked one data pipeline as a proof of concept. The agent delivered 5x faster time-to-insight with dramatically fewer errors — and the savings justified expanding to four more workflows within the quarter.

Andy Markus

Chief Data Officer

We started with a single recovery workflow to test the waters. Within 8 weeks it was pulling $2.4M in monthly recoveries we’d been leaving on the table. The ROI made the case for everything that followed.

Ryan Mangold

CFO

What We See

Ideas we’d love to
explore with you.

Property & Leasing

AI Tenant Advisor

Conversational AI matching prospects to available space 24/7 — by spec, clear height, timeline, and location.

Deal Operations

Deal Intelligence Agent

Natural-language access to market comps, vacancy data, land transactions, and portfolio history — across all six offices.

Stakeholder Relations

Project Status Reporter

Instant conversational access to development status for investors, city partners, and tenants — no Monday callback needed.

Land & Development

Land Origination Intelligence

AI-powered pipeline turning public signals, freight data, and zoning records into land opportunities — before the market.

Your Turn

We'd love to hear
what's on your mind.

Leasing

Shorten your time-to-lease.

What if a prospect could match to available space at 2am — without waiting for a callback?

Deal Flow

Speed up deal evaluation.

How many hours per acquisition go to pulling comps, vacancy data, and market reports manually?

Stakeholders

Give stakeholders instant visibility.

What if investors, city partners, and tenants could check project status themselves?

Land Pipeline

Find land before the market does.

How do you assemble signals across county records, freight data, and zoning changes today?

Team Readiness

You won't need to hire
an AI team.

Your pod is assembled based on the workflow — not pulled from a bench. Every role is filled by someone actively building agents today.

One lead, one outcome. Your pod is assembled based on the workflow — not pulled from a bench. Every role is filled by someone actively building agents today. No staffing calls. No context-switching. Just results.

Agent Engineer

Designs and builds agent solutions alongside your team

Data Steward

Defines source-of-truth rules, quality constraints, and data access

Requirements Dev

Uses agent-assisted tools to design the business process and UX

Agent Ops Engineer

Manages agent infrastructure, monitoring, and reliability

Process Leader

Builds SOPs, edge cases, and approval gates with your functional experts

Teams across the United States, Poland, and India

Technical Capabilities

Enterprise AI demands more
than a good model.

Four core capabilities that make the difference between a demo and a system your development and leasing teams can trust.

Orchestration

Workflow Orchestration

Coordinate complex handoffs across people, agents, and systems — reliably.

Governance

Governance & Control

Approvals, audit trails, kill switches, and policy enforcement from day one.

Integration

Enterprise Integration

50+ connectors to Procore, CoStar, CRM, MS Project, and APIs — built once, deployed across all offices.

Intelligence

Operational Intelligence

Every agent reports in business terms — metrics your CFO can act on.

Sample Architecture

The Sidecar Approach.

Our agents sit beside your systems — they never replace them. Turn it off, and your ERP still works. This is how we de-risk AI adoption.

Experience Layer

Reasoning Designer · Agent Marketplace · Pre-built Integrations

Intelligence & Orchestration

Context Engineering

Memory · Runtime

Agent Studio

Workflow Designer

Command & Control

Monitoring · Ops

Foundation

Event Bus Tool Fabric Data Foundry Task Queue Evaluations Signing & Verification

Purpose-Built Agent Layer

Review Compliance Agent

Content Workflow Agent

Operations Agent

Each sidecar runs independently — scoped to a single workflow, with its own governance and audit trail

Agent Sandbox & Harness · Enterprise Integrations · Governance Layer

System of Action

How an agent actually
does the work.

Orchestration

Triggers API Services

Inputs

Requirements System State Recent Interactions Current Priorities

Context Engineering

Workflows

Standardized Agent Harness

Model

Reasoning Designer

Plan · Thoughts · Strategies

Model

Gateway & Runtime

Requested Action

use tool

Work Results

Final Answer

Goal Reached Budget Exceeded Stumped Next Step

Task Management · Queue · Policy

Tool Fabric Data Foundry Event Bus

Human × Agent Interface

Agent Evaluation Suite

Mission Control Apps

Mobile Approval App

AgentOps Console

Governance Panel

Observability

Existing Enterprise Systems of Record

Document Folder Internet Memory Host Enterprise Apps

Next Steps

A purposeful pilot.

We don’t start with a massive rollout. We start with one workflow, one team, and a clear definition of success. Confidence comes from seeing it work — not from a slide deck.

Pick the Workflow

Together we pick one high-value workflow — like tenant matching or deal intelligence. We map it end to end: systems, people, data, and where time is lost today.

Design & Build

We scope the agent, define governance boundaries, integrations, and success metrics. Clickable in 3 days. Production-ready in weeks.

Prove & Expand

Deploy with real users, measure real outcomes. When the numbers speak, they make the case for what’s next. You move at your pace — results earn the next step.

Low risk, fast signal. The pilot is scoped so you see measurable value within 8–10 weeks — without disrupting Procore, CoStar, or anything you already run.

AI agents built forreal estate.

Start small. Prove value.Then scale what works.