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A decision intelligence agent, built from inside commercial real estate.

Introduction

Asset Signal is an AI-powered decision intelligence platform for commercial real estate owners, asset managers, and portfolio teams. It connects fragmented financial, operational, and market data, identifies what requires attention, and turns those signals into clear, evidence-backed actions.

We are building Asset Signal around a simple idea: real estate teams should spend less time assembling information and more time making decisions that improve portfolio returns.

Who we are

  • Sara Sun

    Co-Founder & CEO

    Sara founded Asset Signal after five years in institutional commercial real estate asset management, where she worked across portfolio and asset-level performance, budgeting, leasing strategy, investment analysis, and investment committee reporting. After experiencing firsthand how much real estate decision-making still depends on spreadsheets, fragmented systems, and manual review, she began building Asset Signal.

    She has since interviewed asset managers, portfolio managers, real estate investors, and other industry professionals to validate the problem and shape the product around how commercial real estate teams actually operate and make decisions.

  • Yuya Ong

    Co-Founder & CTO

    Yuya joined Asset Signal to bring frontier AI research and agentic systems to commercial real estate asset management. His focus is applying modern AI to transform fragmented data and institutional knowledge into intelligent, decision-oriented workflows.

    Previously, Yuya was a Founding AI Research Engineer at Plastic Labs and a Research Software Engineer and Master Inventor at IBM Research. He brings more than a decade of experience in AI research and development, with 30+ patents and publications spanning machine learning, intelligent systems, and applied AI.

Why we are building it

Commercial real estate firms already have extensive data. It lives across property management systems, spreadsheets, financial reports, market data, emails, and the institutional knowledge of individual team members.

The problem is not access to more information. It is turning that information into timely, consistent action.

Today, asset and portfolio management teams still spend substantial time collecting reports, reconciling numbers, identifying variances, and determining which assets or issues require attention. And because many portfolio reviews happen on fixed monthly or quarterly schedules, meaningful changes can go unnoticed between reporting cycles.

Asset Signal continuously connects the dots across financial performance, budgets, leasing activity, operating expenses, and market conditions. It surfaces emerging risks and opportunities, explains why they matter, and recommends the next action — with the supporting evidence attached.

What we are building

Asset Signal acts as an intelligent decision layer above the systems real estate firms already use.

We are not replacing property management systems or existing sources of record. Instead, Asset Signal connects to them, interprets the information they contain, and helps teams decide what to do next.

The platform is designed to:

  • Normalize property and portfolio data across existing systems
  • Detect meaningful financial, operational, and market changes
  • Prioritize assets, issues, risks, and opportunities that require attention
  • Recommend actions to improve asset performance and investment returns
  • Provide portfolio-level visibility across assets and markets
  • Deliver intelligence through the platform, conversational AI, and eventually email-based workflows

Over time, Asset Signal will learn how each firm evaluates investments, monitors performance, escalates risks, and makes decisions — creating an intelligence layer that adapts to the team using it.

Where we are

Asset Signal is currently in its pilot stage. We have built a working MVP and are onboarding a select group of users to test the product against real-world commercial real estate workflows and data.

The platform is being built for commercial real estate portfolios across property types. While the underlying data and operating metrics vary by sector, the fundamental challenge is consistent: teams need to understand what is changing, why it matters, and where they should act.

Our decision framework is designed to support that process across sectors including multifamily, student housing, office, retail, industrial, data centers, and other commercial real estate asset classes.

We are working closely with early users and industry professionals to refine data integrations, reporting workflows, portfolio intelligence, and the recommendations that are most valuable in day-to-day decision-making.

Talk to us

We are currently speaking with commercial real estate owners, asset managers, portfolio managers, and investment teams interested in participating in the Asset Signal pilot program.

To explore the product or discuss a pilot, contact service@assetsignal.ai.

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