The proptech industry is entering a new era, with AI emerging as a key driver of innovation across the real estate industry, according to a new report from Proptech Collective.

The non-profit organization analyzed more than 530 active startups and found that the sector is adapting to market shifts with a sharper focus on efficiency, integration and long-term value creation.

AI: A game-changer in proptech

AI is reshaping proptech by enhancing automation, predictive maintenance and property management. Companies are prioritizing data governance, system architecture and AI strategy development to ensure responsible implementation. AI-driven tools are also transforming planning, risk management, and energy optimization, improving operational efficiency across residential, commercial, and construction sectors.

Key proptech trends for 2025

As the industry looks ahead, several emerging trends are set to shape the future of proptech:

Integrated transactions

Homebuyers and sellers are demanding more seamless, efficient processes. Companies are digitizing and consolidating financing, insurance and transaction management, reducing friction for consumers and Realtors. AI is also streamlining the lead-to-lease process, automating lead generation and tenant screening.

Modular and offsite construction

Facing labour shortages and rising costs, the construction industry is shifting towards offsite construction and prefabrication. The report highlights that assembling components in controlled environments reduces timelines, improves quality control, and enhances scalability. Government initiatives, such as funding for modular housing, are supporting this shift.

Decarbonization and grid infrastructure

Sustainability is no longer just a regulatory requirement but a core financial strategy. Asset managers are prioritizing energy-efficient buildings to drive profitability. The report highlights the increasing demand for sustainable energy solutions, as data centers—driven by AI adoption—place greater strain on grid infrastructure. AI is being used to optimize energy consumption and automate HVAC systems to reduce carbon footprints.

Industry consolidation and sustainable growth

Over the past decade, the proptech industry saw an explosion of standalone solutions, leading to fragmented experiences. Now, companies are focusing on platform integration and consolidation. Mergers and acquisitions (M&A) are accelerating this trend, with over 65 M&A transactions recorded in the last five years, with three happening in the first few weeks of January.

Despite economic headwinds, Canada remains a leader in real estate innovation, with Toronto, Vancouver, Montreal, Calgary, and Kitchener-Waterloo serving as key hubs. The report notes that 77 per cent of Canadian proptech startups were founded in the last decade, with 35 per cent emerging in the past five years. Startups are prioritizing unit economics and sustainable business models to navigate tighter funding conditions while continuing to innovate.

“As we start 2025, it really feels like proptech is entering its next era,” says Stephanie Wood, report lead at Proptech Collective and vice president at Alate Partners.

“The Canadian real estate industry faced a transformative moment in 2024,” said Fred Cassano, real estate leader at PwC Canada. “Tight financing and rising costs continue to challenge growth, but sustainability and technology are creating new opportunities.”

In a major move to tackle one of real estate’s most time-consuming challenges, FCT has acquired a majority stake in Fintracker, a digital identity verification solutions company.

The Oakville-based company announced the news on Jan. 28, saying the partnership is poised to streamline compliance with KYC and anti-money laundering (AML) regulations while enhancing security and efficiency in real estate transactions.

“Fintracker’s advanced identity verification technology, combined and integrated with our trusted services, will help create a more secure, seamless, and fully compliant experience for all stakeholders while shaping the future of connected and intelligent identity verification processes.,” says Michael LeBlanc, CEO, FCT.

Fintracker has contracts with many of Canada’s real estate boards and brokerages, including TRREB subsidiary PropTx. 

Why Fintracker?

Founded by former Realtor Simon Fiore, Fintracker was born out of a need to simplify the tedious FINTRAC compliance process. In a 2023 interview with Real Estate Magazine, Fiore shared that the idea for Fintracker originated in his Winnipeg brokerage. “I was like many agents struggling with these forms and not handing them in in a timely fashion,” Fiore said. His initial goal was to solve the problem for his own brokerage, but the solution gained traction.

The platform has since evolved into a tool for completing FINTRAC forms, digitizing workflows and reducing the potential for human error. During the pandemic, its ability to facilitate remote identity verification for non-physically present clients made it an important tool for many brokerages.

A shared vision for the future

With Fintracker’s solutions now integrated into its operations, FCT says its goal is to create a “connected identity ecosystem” that accelerates the home-buying process while safeguarding sensitive personal data. Fintracker’s founders, Fiore and CTO Matt Amihude, will continue leading the company as it expands under FCT’s umbrella.

“Partnering with FCT enables us to scale our mission of simplifying compliance for agents and brokerages across Canada,” says Fiore. “Our shared vision is to minimize friction for both the public and our clients, while raising the bar for KYC and AML compliance. Together, we’re fostering greater trust, transparency, and efficiency in real estate transactions.”

Fiore, who described himself as “the least tech-savvy agent in the country” when he started Fintracker, believes there’s no replacement for human relationships in real estate.

“Technology is always going to try and replace us, but one-on-one and face-to-face interactions, gaining trust and building relationships are still the keys,” Fiore told REM.

Quebec-based real estate portal, Homz.io, recently announced its rebrand aimed to help new homebuyers and renters across Canada. Formerly known as GuideHabitation.ca, the portal has been around since 2004 and is now growing, starting with British Columbia.

The team has been expanding its presence in B.C. for over a year, offering the technology and business model as a SaaS platform to third parties, like communication firms and specialized websites.

The portal

The portal attracts over 100,000 monthly visits from home seekers comparing real estate projects—from pre-sale condominiums to move-in-ready homes, to new rental units. The company notes the traffic is partly due to its focus on user needs over a purely advertising-driven approach.

“Our strength is in making new real estate searches easier and providing new homebuyers with comprehensive, factual and fairly objective information,” said Founder Denis Sauvé in a press release.

A 20-year journey

Sauvé reflected on the company’s two-decade journey: “20 years on the web feels like 100 in other industries. Yahoo was still a giant when we launched, and social media platforms like Facebook and YouTube didn’t even exist.”

When it first launched in 2004, the website had what Sauvé described as a “fast-food menu design.” However, it was ahead in search engine optimization, which laid the foundation for the site’s growth into a hub for new real estate projects.

Since then, the company says most of Quebec’s builders and promoters have showcased their houses and condominium projects to potential customers.

Future plans with AI

Moving forward, the company’s co-founders face the expanding impact of artificial intelligence. “Search habits are constantly evolving. People are turning to YouTube, Instagram, TikTok, Reddit, ChatGPT and countless other apps for any information … AI is just getting started. Who knows what the next few years will bring?” Sauvé pointed out.

So, Homz.io is integrating generative AI along with other new technologies into its proprietary codebase. The platform remains committed to its user-centred philosophy.

“Being here after 20 years is an achievement in itself. And the future looks exciting,” Maurizio Furnò, associate, expressed. “We are happy as a small business, and we aim to continue our journey controlling our growth path.”

Realtors can spend up to 35 hours on administrative tasks to close a single deal, according to Raz Zohar, who left his job in tech to work as an assistant in the industry to uncover its pain points. This realization sparked a “lightbulb moment,” inspiring him to create Mave—an AI-powered assistant designed to streamline tedious workflows and empower agents to focus on what they do best: serving clients and closing deals.

At its core, Mave uses AI technology to streamline tasks. Realtors interact with the tool through messaging platforms like WhatsApp or iMessage. For instance, an agent might text, “What’s the pet policy for ‘X’ building? When was it built? Does it have rent control?” Mave retrieves and organizes relevant information in seconds, enabling agents to provide instant answers to clients—avoiding the dreaded “let me get back to you” response.

Supporting agents in two key roles

Zohar identifies two primary roles agents juggle: consultant and marketer. Mave is designed to support both areas.

When representing a buyer, agents must act as consultants to help solve their problems, while for sellers, he adds, it goes beyond winning the deal. “Clients want agents to sell their property as fast as possible for the most amount of money,” Zohar notes.

Tasks that traditionally take days—such as creating social media strategies, filming scripts and promotional campaigns—can now be completed in minutes. Agents can quickly produce polished, branded content for platforms like TikTok, Instagram and email, driving engagement and results with minimal effort.

Mave is set up to adhere to brand guidelines for compliance. This means if agents need to market a property with, say, a social media post, a feature sheet or other collateral, they can text their request, and in a few seconds they’ll have branded content ready to go.

How Mave was born

Zohar’s curiosity was born from his own experience in buying a home—he knew his Realtor was working hard behind the scenes, but admittedly, he didn’t know what they were doing. He saw an opportunity for innovation in an industry often criticized for being slow to adopt new technology. 

He began with a question: What do Realtors actually do during those 35 hours? To understand, he quit his job in tech to work as a real estate executive assistant, immersing himself in the processes behind winning listings, staging homes, arranging repairs and managing marketing.

“The only way was to become someone in the industry doing the dirty work that no one sees.,” he explains. This hands-on experience revealed inefficiencies, particularly for brokerages grappling with shrinking margins and limited resources to hire full-scale marketing teams.

Agents often relied on outdated processes or had to wait days for in-house teams to deliver materials. With Mave, Zohar says those delays are eliminated, allowing agents to act quickly and decisively.

Adoption and growth

Mave started small but has rapidly scaled, onboarding nearly 6,000 agents across 90 brokerages in the Toronto area. Of the 1,000 beta users actively engaged, about 60 per cent use Mave daily, according to the company’s founder. 

Zohar emphasizes that trust is non-negotiable. “If an agent’s showing a home and Mave says it’s 10 bedrooms but it’s really one bedroom, you’re just not going to trust it,” he says. Mave’s engineers ensure data accuracy and train the AI to minimize errors.

Still, Zohar and his team see certain situations where AI needs to be fact-checked and reviewed “because it’s performing about 30 steps in one.” So, they advise users to thoroughly review any deeper analysis from Mave to be sure the results look right.

Collaboration with boards and data providers

The tool’s functionality hinges on partnerships with real estate boards and data providers. Zohar cites PropTx, a tech-focused initiative of the Toronto Regional Real Estate Board (TRREB), as an example of industry interest in innovation.

While TRREB President Jennifer Pearce clarified that the board has no formal partnership with Mave, highlighting in a statement, “TRREB is a facilitator of technology for our members who are permitted to have individual contractual agreements with Virtual Office Website providers of their choosing.”

Mave takes data security seriously, adhering to strict protocols from real estate boards and brokerages. “Whenever we onboard a brokerage, we must go through a legal process we’ve guaranteed with the boards to sign off on the right to access data,” Zohar explains.

Human touch meets AI efficiency

Despite Mave’s capabilities, Zohar believes human interaction remains at the heart of real estate. “Psychologically, consumers are going through what’s usually the most meaningful purchase of their lives. They want support, a human touch and to feel that there’s a trusted companion by their side. This isn’t going to change because of AI,” he says.

Currently, Mave has onboarded one thousand users in Southern Ontario to its beta program with plans for expansion across North America. 

Zohar’s ultimate goal is to reduce administrative time by up to 90 per cent. For now, Mave continues to refine its features and onboard more users, aiming to revolutionize real estate by giving agents their time back.

It just seems like a week doesn’t go by and AI is changing the landscape of industries and real estate.  This next AI technology blew me away because it’s incredible lifelike voices it creates for podcasts.

In the fast-paced world of real estate, staying updated with the market, real estate forms and technology. However, not every Realtor has the luxury of time to sift through pages of dry reports or articles. Enter Google’s NotebookLM, the AI-powered tool that’s setting a new trend in information consumption through its innovative podcast feature. Realtors can leverage this technology to turn mundane data into engaging, personality-infused content.

From text to talk

Imagine transforming a 50-page market analysis report into a lively discussion between two knowledgeable hosts. That’s exactly what NotebookLM does with its audio overview feature. Realtors can upload documents, whether it’s the latest housing market stats or a new listing, and receive a podcast-style audio file. 

What I like about it the most are the hosts of the podcast. They have engaging “personalities” that make the podcast something you enjoy listening to. The AI-generated voices dive deep into the material, offering insights, debates and even anecdotes that can make learning about real estate trends as enjoyable as listening to your favourite podcast.

Why this matters for Realtors

This business thrives on engagement. Properties are not sold with facts and figures but through stories and connections. By using NotebookLM, realtors can:

• Create engaging content: Convert property listings to market forecasts into podcast episodes. This can be particularly appealing for clients who prefer listening over reading, potentially increasing client engagement.
• Educational tools: Use the generated podcasts to educate new home buyers or investors about the market. An audio format can be more inviting, making complex information accessible and entertaining.
• Marketing strategy: Share these podcasts on social media or during open houses. A discussion about local market trends or the backstory of a neighbourhood can attract potential buyers, offering them value beyond the visual tour.
• Professional development: I use it now when I come across complicated or boring content.  I just upload the content into NotebookLM and minutes later I have an engaging and understandable podcast that I can listen to. Realtors can keep up with industry changes on the go. Whether they’re driving between showings or waiting at a coffee shop, they can turn that time into a learning session without needing to read a single line.

The future of client interaction

Imagine sending your clients a personalized podcast episode discussing the potential of a neighbourhood they’re interested in, complete with market trends, future development plans, and historical anecdotes. This not only positions the Realtor as an innovative professional but also adds a layer of personal touch that text-based reports can’t match.

Google’s NotebookLM isn’t just a tool; it’s a gateway to transforming how information is consumed and shared. For Realtors, this means an opportunity to turn every piece of information into an engaging story, every market update into a conversation, and every client interaction into an experience. In an industry where personality and presentation can make all the difference, turning the page from reading to listening might just be the next big move in real estate. 

Want to see how it works? Have a listen to this article in podcast form:

Today, Mave, an artificial intelligence (AI) assistant for the real estate industry, announced it has raised $2 million in pre-seed funding and launched its beta program for agents and brokers.

The investment was raised and closed in a few weeks and was led by Relay Ventures and N49P with participation from Alate Partners, Clarim Ventures, Gambit Partners, along with several angel and strategic investors including a past president of the Toronto Real Estate Board.

Mave’s journey to today

After Mave founder and CEO Raz Zohar worked as an executive assistant for agents across the Greater Toronto Area (GTA) and gained experience with the demands on agents’ time, he discovered a gap: brokerages try to support agents, but with their commission split per deal getting smaller, many lack the resources for dedicated backend assistance.

So, Mave began as a result of this opportunity, along with the rapid improvements in AI and large language models (LLM).

“Not much has changed in recent years about the way the real estate industry operates. To modernize their brokerages, many look to existing tools for help. But these can be overwhelming for agents … Mave is the first solution we’ve seen that really solves the core problems the industry faces in a way that is easy enough for any agent to adopt,” says Alex Baker, managing partner at Relay Ventures.

Its current state

Mave currently has a team of 10. While the product has been operating in stealth mode, it has attracted interest from over 6,000 real estate agents across more than 90 brokerages in the GTA. From these prospective users, Mave has selected 1,000 to initially onboard as part of its beta program.

The team has worked to secure access to extensive market data and related property information through partnerships with real estate boards and other data providers. As the Mave AI assistant is trained using this information, it enables agents to harness market and neighbourhood insights to respond instantly to client requests and deliver a greater level of customer service.

”While our initial focus is on handling marketing tasks, with the funding in place we’re expanding our development to establish Mave as a full-time assistant,” says Zohar. “Mave will handle key back-end administrative tasks, from coordinating an open house to finalizing contracts better and faster than ever before.”

Baker adds, “We believe in Raz and his team and are confident that this is the right approach for the industry.”

How Mave works

Agents text questions to Mave such as “What is the price per square foot of homes in “X” postal code?” Then, in seconds, Mave can automate backend tasks, such as creating social media posts, marketing materials, emails and presentations.

The product fits into existing workflows, enabling agents to interact with the AI assistant via text messages just as they would their real assistants to get tasks done.

Use cases

The number of reported daily wins and use cases shared by agents testing the platform have exceeded Mave’s expectations. For example, for one agent participating in the beta program, the ability to immediately respond to a client’s questions and very quickly price the property enabled them to secure a listing within 24 hours.

Another agent that used Mave to optimize a listing saw showings go from zero to 11 in one week. A third used Mave to create the concept, script, post and caption for an Instagram campaign that led to a sale for $100,000 over-asking price.

Among the first Mave beta customers is PSR Brokerage, a luxury boutique real estate firm with over 150 agents in Southern Ontario. The brokerage specializes in resale and pre-construction sales, supported by high-end marketing services for its clients. Within the first week of signing up for the Mave beta program, 60 per cent of agents are actively using the AI assistant at least six times per week.

“Clients have high expectations of realtors to know every detail about thousands of listings,” notes Joshua Chisvin, VP of resale, partner at PSR Brokerage. “With Mave, we finally found the perfect solution to enable our teams to meet this demand effortlessly.”

Flourishing new technology and generative AI looks to offer professionals plenty of tools for success. Perhaps most paramount, however, is access to information and the ability to analyze that data, in order to make informed decisions. 

In real estate, with buyers and sellers seeking an edge to get the most value, those who are better equipped at data aggregation and analysis are poised to succeed, especially in times like now when markets are tense and chaotic.

As Jeremy Dawn, founder and CEO of SNFLWR Investment Corp. attests, technology and apps have revolutionized the real estate investor game, enabling investors to find properties that cash flow even in tough markets.

“One of the most significant shifts has been the availability of data. In the past, investors had to rely on traditional sources such as real estate agents and property managers for information about potential investments,” he notes. “Today, a wealth of data is available online, including property listings, rental rates and market trends. This data can be used to identify properties that are likely to generate positive cash flow.”

A desire for better information access and analysis methods to make sound investment decisions

When investor Liz Macey couldn’t find an ideal tool to identify money-generating properties based on her needs and parameters, she set out to create one.

Macey founded UnitIQ and explains the platform helps investors find and invest in properties that cash flow. “We’re able to take data from a whole bunch of different sources and make this search process a whole lot easier. We have active listings in the country with vacancy rates and rental prices, and we use financial analysis tools to find cash flow.”

Macey, whose diverse professional background includes an MBA and a pilot’s license, developed the platform after realizing how overwhelming it can be to know how and where to level up her investing. She wanted better access to information and improved ways to analyze what’s available to make savvy choices.

“(This) is a pain point for investors and realtors, especially when you’re looking at multiple communities. It’s a lot of data when you’re trying to find good opportunities.” She explains with UnitIQ, users can input their different parameters, such as budget or downpayment.

The tool will offer both a free model that allows for a basic search as well as a paid subscription tier aiming to serve agents. The latter option will incorporate advanced analytical tools: agents can create multiple profiles and specific searches for clients and have the ability to export data with custom branding.

Analytical systems and generative AI: Promising, useful tools to help clients

Eva Landreth champions such newfound tools as essential to success. A realtor with Century 21 Millennium Inc., Landreth has found success using analytical systems such as HouseSigma and AirDNA to connect clients with investment properties and secondary chalets in Ontario, with a focus on short-term rentals.

“It’s amazing,” she says of what’s possible. “Before you buy a property, you can see revenue, trends, occupancy and price strategy. You can compare similar properties on a street, look at property manager companies and really get to know the historical data, seeing if certain properties aren’t performing well,” she explains. 

Generative AI proves a promising tool as well, one that Landreth is also leveraging. “I think people are using the basics,” she says. “I don’t think people have unlocked all its potential. You have to feed it smart information to get out what you want. I think it’s just going to help our job, make things go a lot quicker — the mundane tasks, it will make easier.”

Dawn concurs, noting that tools and technologies have made it easier for investors to find and analyze potential investments, manage their properties and communicate with tenants. “They’ve also helped to level the playing field, giving (investors) access to the same data and tools that professional investors use,” he points out.

Tools and tech will never replace the human touch

Dawn feels that as technology continues to evolve, investors can expect to see even more innovation that makes it easier to find properties that cash flow and aid in decision making, saving time and money and ultimately achieving financial goals.

Still, Landreth believes you need that lived experience, wisdom and connection with clients in order to provide the best guidance. “The tools will help you get the market trends and find the hidden opportunities, but you still need that human touch. If you’re just looking at the data, you don’t have the human interaction and expertise in the local market.”

While a more diverse tool kit may prove useful for investors, there is concern about its effects on renters and those seeking to buy their first home. Macey notes some of UnitIQ’s users are prospective first-time homebuyers, and that potentially more data about property management companies will help improve the rental market.

“Investing in real estate is a tricky conversation to have when you’re considering everyone in the economy,” she says. “My hope is that we’re able to end up having more rental properties on the market, helping increase the supply so that hopefully you can find a home more easily.”

Venturon Ltd., a Canadian-owned investment group focused on real estate technology start-ups, has recently partnered with Darabase Canada, a technology company specializing in immersive media for the spatial web (spatial out-of-home and permission-based augmented reality (AR) advertising).

Venturon brings decades of experience in various real estate sectors, integrating technology, products and services to create opportunities, efficiencies and investment returns. This is Darabase’s first such agreement in Canada since entering the market in February.

‘As AR and the spatial web advance, buildings, streets & landmarks will be transformed … reshaping our daily lives’

The collaboration merges each company’s expertise in AR advertising and managing property digital rights, an emerging asset class.

With the rise of AR-enabled devices and advances in the spatial web, the companies partnered to create new value for property owners across Venturon’s client and partner network.

“Real estate needs a new foundation, and technology is the key to unlocking its full potential,” says Deena Pantalone, founder and managing partner of Venturon. “Our partnership with Darabase aligns perfectly with our vision to rethink real estate. By leveraging Darabase’s expertise in AR and the spatial web, we’re paving the way for innovative solutions that benefit both property owners and the broader community.”

Peter Pinfold, CEO of Darabase Canada, notes that Venturon shares their vision that modern property ownership includes not just physical space but also property digital rights: “These rights enable property owners to protect, manage and monetize their digital assets, much like air and subterranean rights add value to traditional real estate.

The world is becoming a digital canvas for immersive brand experiences. As AR and the spatial web advance, our buildings, streets and landmarks will be transformed with dynamic, interactive content, reshaping our daily lives.”

Image: Darabase

If you think AI begins and ends with ChatGPT, you’re missing out on a universe of possibilities. While OpenAI’s chatbot took the world by storm, it’s just one star in an ever-expanding galaxy of AI models. Relying solely on ChatGPT is like trying to build a house with only a hammer — you’re limiting your potential and possibly compromising your results.

This principle applies across industries like Canadian real estate. Realtors in this field wear many hats, requiring skills in negotiation, social media, content creation and more. By exploring AI tools beyond ChatGPT, realtors can leverage diverse AI capabilities to enhance various aspects of their business, rather than limiting themselves to a single tool.

Risks of relying on a single AI system

• Missed opportunities. Using a single AI system can lead to missed opportunities and biased results.
• Limited perspectives. A single model can only provide a narrow view of a problem or solution.
• Stagnation. Relying on a single AI system can lead to stagnation, as you miss out on innovations from other models.
• Vulnerability to outages or updates. Dependence on a single system leaves you exposed if it experiences downtime or significant changes.

My experience using various AI models over the past four years has reinforced these risks. The quality of outputs can change dramatically, sometimes on a weekly basis. This volatility underscores the danger of stagnation when relying on a single system.

For instance, if one AI model consistently produces poor social media posts for first-time homebuyers, exploring alternative models could yield better results rather than waiting for improvements in a single system. 

Benefits of AI diversification

• Comprehensive insights. Multiple AI models provide a more comprehensive understanding of a problem or solution.
• Innovative solutions. AI diversification can lead to innovative solutions and new ideas.
• Adaptability. By using multiple AI models, you can adapt quickly to changing circumstances.
• Enhanced problem-solving. Different AI models approach problems in unique ways, leading to more robust solutions.

Diversify your AI arsenal — at no cost

Imagine having unrestricted access to the internet in its early days — you would have seized the opportunity!

Today, top tech companies worldwide are offering their cutting-edge AI language models for free. However, unlike the internet’s early days, we now have multiple AI models in an intense arms race, with innovations emerging every week.

Compare AI responses: One prompt, multiple platforms

One of the most effective ways to harness the power of AI diversity is to use identical prompts across different AI platforms. This approach allows you to directly compare outputs, highlighting each model’s unique strengths and perspectives. By using it, you can identify which AI excels at specific tasks, uncover nuanced differences in language understanding and even spot potential biases.

The method not only enhances the quality of your final output but also deepens your understanding of each AI’s capabilities, enabling you to make more informed decisions about which tool to use for future tasks.

Top alternative AI tools

In the rapidly evolving artificial intelligence world, several powerful alternatives to mainstream AI models have emerged, each offering unique strengths and capabilities.

For example, Claude by Anthropic excels in nuanced conversations and ethical reasoning, while Google’s Gemini brings multimodal capabilities and up-to-date information to the table. Perplexity AI stands out with its real-time information synthesis and source citation (very important), offering an interactive search experience. For those seeking open-source solutions, Meta’s Llama 2 provides flexibility and customizability.

By exploring and leveraging these diverse AI tools, users can tap into a rich ecosystem of capabilities, each suited to different tasks and requirements.

1. Claude by Anthropic — known for nuanced conversations, ethical reasoning, detailed explanations

2. Gemini by Google — known for multimodal capabilities, up-to-date information, integrated search

3. Perplexity AI — known for real-time information synthesis, citation of sources, interactive search

4. Llama 2 by Meta — known for open-source flexibility, customizability, strong performance on various tasks

Stay diverse to stay ahead

The AI landscape is evolving rapidly, and relying on a single AI system can lead to missed opportunities and biased results. By embracing AI diversification and exploring multiple models, you can gain comprehensive insights, innovative solutions and adaptability.

Stay ahead of the curve in your real estate business by harnessing the power of AI diversification.