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Enterprise Layer Intelligence
Categories/AI Analytics/Trebellar
Trebellar

Trebellar

Founded 2021

Manage corporate real estate portfolios and workplace planning using autonomous agents

Pricing model

Demo

You can use Trebellar to connect your corporate real estate data, including leases, costs, headcount, and space usage into a single unified model. The system deploys specialized autonomous agents that plan, analyze, and track operational metrics rather than just showing charts. You can track lease expirations, model future supply and demand scenarios, evaluate potential new office locations with demographic and commute data, and monitor workplace occupancy and employee sentiment to make informed portfolio decisions.

What Trebellar does

Extract key terms and deadlines from commercial lease documentsModel supply and demand space utilization scenariosAnalyze employee commute times for potential office sitesTrack commercial real estate portfolio expendituresMap workplace survey responses to real estate metricsIngest and normalize real estate records from disparate formatsAutonomous agents that execute real estate planning workflowsCRE-specific ontology that links lease, cost, headcount, and space dataAutomated lease abstraction and expiration milestone trackingSupply and demand scenario modeling for office spaceLocation scoring incorporating demographic, transit, and commute timesWorkplace utilization tracking combined with employee sentiment surveys

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Vergesense, Kisi, Brivo, Workday, SAP SuccessFactors, Microsoft Azure, Google Workspace, CoStar

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Trebellar, corporate real estate, CRE ontology, portfolio management, lease optimization, lease abstraction, workplace analytics, space planning, location scoring, workplace experience, scenario modeling, real estate data, AI agents, autonomous agents, headcount planning