2. Personalized & Actionable Insights Before Investment

The Keyway copilot is tailored to provide bespoke insights for real estate teams. For example, an AI Copilot allows investors to easily collate data from dozens of sources- like PDF leases, broker emails, and spreadsheets- to help source deals and model risk and enable better deal decisions.

AI-powered tools not only synthesize fragmented data but also analyze it and provide decision-ready intelligence. This comprehensive picture of an asset is critical to doing due diligence prior to an investment.

Personalize your search by setting up your BuyBox parameters like number of units, price range, property condition, neighborhood, and trends in that specific market. In this scenario, tools like Keyway's copilot can assign tailored fit scoring to any property, helping point investment teams in the right direction.

Keyway’s market comps tool makes it easy to generate comps for any property. It generates a list of the most similar properties, their similarity score, and transactability score. Configuring the AI Copilot with your unique investment thesis can generate personalized recommendations that are tailored to your strategy. You can even get customized property recommendations based on your investment strategy.

Keyway’s slate of AI tools analyze various metrics like a property’s yield, MSA intelligence, owner profiles, and comps to determine a transactability scoring that’s different to other investment risk profiles.
 

2. Personalized & Actionable Insights Before Investment

The Keyway copilot is tailored to provide bespoke insights for real estate teams. For example, an AI Copilot allows investors to easily collate data from dozens of sources- like PDF leases, broker emails, and spreadsheets- to help source deals and model risk and enable better deal decisions.

AI-powered tools not only synthesize fragmented data but also analyze it and provide decision-ready intelligence. This comprehensive picture of an asset is critical to doing due diligence prior to an investment.

Personalize your search by setting up your BuyBox parameters like number of units, price range, property condition, neighborhood, and trends in that specific market. In this scenario, tools like Keyway's copilot can assign tailored fit scoring to any property, helping point investment teams in the right direction.

Keyway’s market comps tool makes it easy to generate comps for any property. It generates a list of the most similar properties, their similarity score, and transactability score. Configuring the AI Copilot with your unique investment thesis can generate personalized recommendations that are tailored to your strategy. You can even get customized property recommendations based on your investment strategy.

Keyway’s slate of AI tools analyze various metrics like a property’s yield, MSA intelligence, owner profiles, and comps to determine a transactability scoring that’s different to other investment risk profiles.

3. Gain Insights from Concessions, Reviews, and Other Unstructured Data

AI Copilots can not only scrape data from public sources (listing sites, articles, review sites, and public records) but do so at a scale that's unattainable by an analyst alone.

You can take it a step further by combining financial data with online commentary- like sentiment analysis trends over time. Using this data and AI-generated management recommendations, you can mitigate risks associated with negative reviews and proactively achieve higher renewal rates. Another strong use case that Keyway is seeing in their platform is determining renovation status and property quality from image analyses, aiding in CapEx decision-making.

3. Gain Insights from Concessions, Reviews, and Other Unstructured Data

AI Copilots can not only scrape data from public sources (listing sites, articles, review sites, and public records) but do so at a scale that's unattainable by an analyst alone.

You can take it a step further by combining financial data with online commentary- like sentiment analysis trends over time. Using this data and AI-generated management recommendations, you can mitigate risks associated with negative reviews and proactively achieve higher renewal rates. Another strong use case that Keyway is seeing in their platform is determining renovation status and property quality from image analyses, aiding in CapEx decision-making.

1. Make Sense of Unstructured Data and Documents Instantly

With today’s AI Copilots, you can upload all the leases at once, synthesize complicated loan documents into structured data, and start asking the Copilot questions. For example, by analyzing dozens of leases, you might uncover risks like a large percentage of units with non-standard lease terms.

Alternatively, you can dump a number of diligence docs like zoning information, environmental reports, and other critical documentation and start asking questions.

With Keyway's Document Copilot tool you can combine diligence documents with AI market insights like rent trends, geographic mobility, and tenant property reviews — all while taking investors' bespoke strategies into consideration.

4. Protect Your Proprietary Data

One big reason that more real estate teams have avoided AI till now is security: they want to avoid uploading their private data to publicly available models. Fortunately, new AI Copilots have options where your proprietary information is never used to train a model.

Additionally, companies like Keyway have SOC2 Type 2 compliance, optimizing for Trust Services Criteria: security, availability, processing integrity, confidentiality, and privacy.

Additionally, Keyway works with firms to build sandboxes that are specific to the company’s needs, making sure the data is encrypted- whether it's resting data or data that is being passed to the sandbox via API.

At the end of the day, the adoption of AI-powered tools will reduce the time spent wading through public data and dealing with the regulatory complexity of property underwriting and asset management. Saving multi-family real estate teams significant time and money.

4. Protect Your Proprietary Data

One big reason that more Real Estate investors have avoided AI till now is security: they want to avoid uploading their private data to publicly available models. Fortunately, new AI Copilots have options where your proprietary information is never used to train a model.

Additionally, companies like Keyway have SOC2 Type 2 compliance, optimizing for Trust Services Criteria: security, availability, processing integrity, confidentiality, and privacy.

Keyway works with firms to build sandboxes that are specific to the company’s needs, making sure the data is encrypted- whether it's resting data or data that is being passed to the sandbox via API.

At the end of the day, the adoption of AI-powered tools will reduce time spent wading through public data and dealing with the regulatory complexity of property underwriting. Saving multi-family real estate investors significant time and money.

Commercial real estate has always been data-rich but insight-poor. It used to be that you needed to make a huge upfront investment to gather disparate data sets and manually plug them into SaaS tools and machine learning models.


But that’s rapidly changing. Today, there are a new breed of AI Copilots that can help you combine disparate data sets, analyze market trends, and surface risks faster.

Today’s AI Copilots do the heavy lifting— like collating large swaths of data, generating drafts, or catching errors— so your investment team can focus on high-level decisions.

 Here are four specific ways that AI Copilots are changing the way real estate investors operate: