symmetRE MCP is here. Supercharge your AI with The Standard in Asset Management.

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symmetRE MCP is here. Supercharge your AI.

Mission

Platform

AI Layer

Resources

Company

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symmetRE is

the AI-ready data layer

for real estate asset management

symmetRE is

the AI-ready data layer for real estate asset management

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symmetre cube
symmetre cube
symmetre cube
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symmetre cube

Most AI tools bolt a chatbot onto data that was never built to support one.

symmetRE builds the validated data layer first — so every AI answer is grounded in your firm's actual numbers, not a guess dressed up in confident language.

03

AI Layer

02

Semantic layer

01

RAw Data layer

Real portfolio data is messy, fragmented, and defined differently at every shop.

That is the part that does not get easier when a new model ships. symmetRE does the ingestion, standardization, and computation work underneath — so asset managers get frontier AI on their real portfolio, with their own definitions, and a traceable answer every time.

Context

Object

Metric

Data

The gap

AI is ready, Real estate data isn't (at least not on its own)

The gap

AI is ready, Real estate data isn't (at least not on its own)

Not a model problem, a data validation problem

Frontier models are genuinely good today. What breaks when a real estate asset management team points one at their actual portfolio isn't the model, it's the data underneath it.

Property management systems your operators control. Thousands of files a day. NOI, occupancy, and lease tradeout definitions that differ from firm to firm and never match a generic template.

Point a general AI tool at raw exports and it does the math itself, with definitions it invented. That's not a model problem. It's a data validation problem, and it's the one thing that doesn't get solved by switching to a better model next quarter.

Give your AI a data foundation

What makes AI trustworthy here — and nowhere else

Every AI surface in the platform draws from that same foundation. Nothing is bolted on separately.

symmetRE runs on one shared foundation underneath every AI feature: a shared tool library, a context layer that holds the actual meaning of your formulas, variables, and period rules, and a provider layer that lets any model plug in.

What makes AI trustworthy here — and nowhere else

Every AI surface in the platform draws from that same foundation. Nothing is bolted on separately.

symmetRE runs on one shared foundation underneath every AI feature: a shared tool library, a context layer that holds the actual meaning of your formulas, variables, and period rules, and a provider layer that lets any model plug in.

What makes AI trustworthy here — and nowhere else

Every AI surface in the platform draws from that same foundation. Nothing is bolted on separately.

symmetRE runs on one shared foundation underneath every AI feature: a shared tool library, a context layer that holds the actual meaning of your formulas, variables, and period rules, and a provider layer that lets any model plug in.

shared tool library

context layer

provider layer

Supercharge your AI

Your portfolio Your formulas Any model

The AI model market is not settled, and it won't be for a while. Pricing shifts, capabilities shift, the leader changes quarter to quarter. Commit your workflow to one vendor's proprietary model and you rebuild it the next time the market moves.

symmetRE supports MCP (Model Context Protocol), an open standard that lets you connect Claude, ChatGPT, Gemini, or whatever ships next directly to your validated portfolio data — permissions inherited, fully traceable. Run the same question through two models. Switch when something better ships. The data layer is the asset; the model on top is a configuration choice, not a rebuild.

Your portfolio Your formulas Any model

The AI model market is not settled, and it won't be for a while. Pricing shifts, capabilities shift, the leader changes quarter to quarter. Commit your workflow to one vendor's proprietary model and you rebuild it the next time the market moves.

symmetRE supports MCP (Model Context Protocol), an open standard that lets you connect Claude, ChatGPT, Gemini, or whatever ships next directly to your validated portfolio data — permissions inherited, fully traceable. Run the same question through two models. Switch when something better ships. The data layer is the asset; the model on top is a configuration choice, not a rebuild.

Your portfolio Your formulas Any model

The AI model market is not settled, and it won't be for a while. Pricing shifts, capabilities shift, the leader changes quarter to quarter. Commit your workflow to one vendor's proprietary model and you rebuild it the next time the market moves.

symmetRE supports MCP (Model Context Protocol), an open standard that lets you connect Claude, ChatGPT, Gemini, or whatever ships next directly to your validated portfolio data — permissions inherited, fully traceable. Run the same question through two models. Switch when something better ships. The data layer is the asset; the model on top is a configuration choice, not a rebuild.

Connect the AI ecosystem you already use. Keep one trusted data layer underneath it. Never re-architect your AI workflow because a new model shipped.

Ask sales about your model

Beyond conversations

AI becomes most valuable when it disappears into the product. Instead of switching tools, your team gets intelligent assistance exactly where the work already happens.

01 / 04

AI Summary Widget for PDF reports

Embedded directly in your reporting module. AI generates summaries inside the PDF reports your team already produces, and can drill into transaction-level detail, not just the numbers on the page.

Why it matters

⭢ AI explains what changed inside a report you're already generating. No separate tool, no re-exporting data to get the narrative.

01 / 04

AI Summary Widget for PDF reports

Embedded directly in your reporting module. AI generates summaries inside the PDF reports your team already produces, and can drill into transaction-level detail, not just the numbers on the page.

Why it matters

⭢ AI explains what changed inside a report you're already generating. No separate tool, no re-exporting data to get the narrative.

02 / 04

AI for dashboards & widgets

Ask questions, investigate metrics, and understand changes without leaving the dashboard you're already working in. Choose the model that answers, right from the interface.

Why it matters

⭢ Every answer runs on the same validated, formula-applied numbers driving the dashboard itself — not a summary of it. ⭢ Navigate from an AI insight straight to the underlying transaction.

02 / 04

AI for dashboards & widgets

Ask questions, investigate metrics, and understand changes without leaving the dashboard you're already working in. Choose the model that answers, right from the interface.

Why it matters

⭢ Every answer runs on the same validated, formula-applied numbers driving the dashboard itself — not a summary of it. ⭢ Navigate from an AI insight straight to the underlying transaction.

03 / 04

AI for Microsoft Teams

Bring your AI Advisor into the conversations your team is already having. Ask portfolio questions and get answers grounded in your validated data layer, directly inside Microsoft Teams.

Why it matters

⭢ No switching applications to get an answer. Answers are grounded in the same trusted data layer as your dashboards — not a generic AI tool. ⭢ Share insights instantly, without exporting a report.

03 / 04

AI for Microsoft Teams

Bring your AI Advisor into the conversations your team is already having. Ask portfolio questions and get answers grounded in your validated data layer, directly inside Microsoft Teams.

Why it matters

⭢ No switching applications to get an answer. Answers are grounded in the same trusted data layer as your dashboards — not a generic AI tool. ⭢ Share insights instantly, without exporting a report.

Explore the platform

Ask your portfolio anything

Because symmetRE already understands your portfolio, your entities, and your formulas, AI stops behaving like a generic chatbot. It becomes an advisor that connects information across your data and helps your team make decisions with confidence.

Cross-portfolio risk detection:

"Find every property connected to a single operator where occupancy is declining, delinquency exceeds the portfolio average, debt matures within 18 months, and a major CapEx project is underway — and explain how those factors relate."

Acquisition due diligence:

"I'm underwriting a new asset in Chicago. Pull the per unit expenses for the marketing & personnel categories from all my current Chicago assets and also provide an aggregated average."

Executive briefing:

Turn this quarter's portfolio performance into the exact narrative your investment committee needs, sourced to the transaction.

Cross-portfolio risk detection:

"Find every property connected to a single operator where occupancy is declining, delinquency exceeds the portfolio average, debt matures within 18 months, and a major CapEx project is underway — and explain how those factors relate."

Acquisition due diligence:

"I'm underwriting a new asset in Chicago. Pull the per unit expenses for the marketing & personnel categories from all my current Chicago assets and also provide an aggregated average."

Executive briefing:

Turn this quarter's portfolio performance into the exact narrative your investment committee needs, sourced to the transaction.

What would you ask your data? Let's find out 

What would you ask your data? 

Give your team an AI-ready operating environment

Most AI products give you a chatbot.

symmetRE gives you a workplace where AI already knows your data, understands your business, respects your permissions, and fits into the way your team already works.

Book a Demo

How It Works — Explained

01

What makes symmetRE different from a general AI tool like ChatGPT?

02

We already have a data warehouse. Why do we need this?

03

Is our data used to train AI models?

04

Does AI have access to all of my company's data?

05

Can different teams see different AI answers?

06

Which AI model does symmetRE use?

07

Can I use my own AI provider?

08

What happens when a better AI model comes out next quarter?

09

Can AI work with our existing property management and accounting systems?

10

Can we start without replacing our current systems?

11

Do I need prompt engineering skills to use this?

12

Should we build this internally instead of buying it?

Hear from symmetRE clients

How a lean GP cut investor reporting from 30 days to just a few hours

Case Study

General Partner / Fund Manager

As Magma scaled across markets and property managers, reporting became the bottleneck. Data lived across systems, every cycle required manual reconciliation, and investor updates took weeks to finalize.symmetRE introduced a single ownership layer — standardizing data across 14+ systems and automating reporting end to end. What was once a manual, high-effort process is now predictable, repeatable, and completed in hours.

Read The Case Study

How a lean GP cut investor reporting from 30 days to just a few hours

Case Study

General Partner / Fund Manager

Read The Case Study

How a lean GP cut investor reporting from 30 days to just a few hours

Case Study

General Partner / Fund Manager

As Magma scaled across markets and property managers, reporting became the bottleneck. Data lived across systems, every cycle required manual reconciliation, and investor updates took weeks to finalize.symmetRE introduced a single ownership layer — standardizing data across 14+ systems and automating reporting end to end. What was once a manual, high-effort process is now predictable, repeatable, and completed in hours.

Read The Case Study

The $1M question: How to uncover a $1M cost discrepancy — and built a system to catch it before it happens again

Case Study

General Partner / Fund Manager

~3,300 units across 40+ communities

As Pathfinder scaled across property managers and systems, reporting became the bottleneck. Data lived everywhere, metrics lacked consistency, and the team spent more time reconciling numbers than acting on them. symmetRE standardized data across 3 ERPs and 2 property managers into a single daily view of the portfolio. What was once monthly reporting is now a daily operating layer — one that surfaced ~$1M in asset value.

Read The Case Study

The $1M question: How to uncover a $1M cost discrepancy — and built a system to catch it before it happens again

Case Study

General Partner / Fund Manager

~3,300 units across 40+ communities

Read The Case Study

The $1M question: How to uncover a $1M cost discrepancy — and built a system to catch it before it happens again

Case Study

General Partner / Fund Manager

~3,300 units across 40+ communities

As Pathfinder scaled across property managers and systems, reporting became the bottleneck. Data lived everywhere, metrics lacked consistency, and the team spent more time reconciling numbers than acting on them. symmetRE standardized data across 3 ERPs and 2 property managers into a single daily view of the portfolio. What was once monthly reporting is now a daily operating layer — one that surfaced ~$1M in asset value.

Read The Case Study

Trusted by teams from boutique
funds to NMHC Top 50 owners.
See how they rebuilt their reporting.

Read their stories

Trusted by teams
from boutique funds to NMHC Top 50 owners. See how they rebuilt their reporting.

Read their stories

Trusted by teams
from boutique funds
to NMHC Top 50 owners.
See how they rebuilt
their reporting.

Read their stories