The Assistants are here: Cloze Launches Maia, a Voice-Enabled AI Assistant

In a bold move that underscores how quickly real estate technology is evolving, Cloze has just unveiled Maia — a voice- and text-driven AI assistant built for real estate professionals. Maia is designed not just to suggest or generate content, but to take action across the Cloze platform and connected tools — all from plain language commands.

This is significant. As AI adoption accelerates in real estate, solutions that bridge between human language, agent workflows, and multiple software systems carry the potential to shift how agents spend their time. In this article, we’ll break down what Maia offers, what its implications are for real estate tech, and how brokers and agents should think about adopting it.

Unlike many AI assistants that remain passive (e.g. suggesting what you could do), Maia goes further — it executes tasks in real time based on everyday language. For example:

This elevates Maia beyond mere “assistant” — it acts as a virtual executor in the agent’s tech stack.

One of Maia’s standout features is its meeting transcription ability. It can:

Then, Maia doesn’t stop there — it lets agents approve or check off action items via voice/text commands. That means you spend less time typing, toggling windows, or “catching up” after meetings.

Maia was built with an “open ecosystem” approach. Instead of being locked into just Cloze, it supports integrating with and triggering workflows in other apps. It also supports Model Context Protocol (MCP), allowing Maia’s tools to be used from inside other AI systems.

In practical terms: you can ask Maia to “send this property to Cloud CMA” or “boost this listing via HomeSpotter” without leaving Cloze.

Real estate agents spend a lot of time out in the field. Maia’s voice-driven interface is ideal for those moments when touching a screen is a distraction. Cloze built Maia with mobile-first usage in mind.

This essentially brings the promise of “hands-free CRM + assistant” closer to reality.

A perennial challenge in real estate tech is “app fatigue” — agents juggling half a dozen tools (CRM, marketing, MLS, listing presentation, etc.). Maia’s open design reduces friction by letting you interact with multiple tools from one interface.

This is a step toward what some call the “connected brokerage” model, where the tech stack feels cohesive, not disconnected.

At its core, real estate is about relationships. Maia helps automate the upkeep — following up after meetings, reminding agents about client touchpoints, drafting communication at scale — yet grounded in each client’s full history. Agents who use it well might reclaim hours each week that otherwise go into admin.

Many AI tools provide ideas, outlines, or content drafts. Maia’s distinguishing trait is taking action—that leap from “suggestion” to “execution” is what often separates hype from real usable productivity.

In the real estate technology domain, that shift is a sign of maturity.

Maia is currently in beta for Cloze’s Platinum and Enterprise customers. As with any emergent AI, errors — misheard speech, transcription mistakes, or mis-executed commands — are risks. Cloze itself notes that AI “can get things wrong” and encourages users to double-check important items.

To function, Maia must access sensitive data: contacts, communication history, meeting recordings, property details, etc. Brokers and agents should carefully vet how permissions, storage, and data flows are managed, especially if integrations span external platforms.

Adopting voice-first workflows will require learning. Users must train themselves to speak in ways the assistant understands, to phrase commands clearly, and to trust Maia. Some agents will resist, preferring manual control. The value will depend heavily on how intuitive and forgiving Maia is with natural language.

While Maia supports many integrations, there will inevitably be apps or features it doesn’t yet support. For those edge cases, agents will revert to manual handling. The success of Maia in everyday practice will depend on how many of the routine tasks it can reliably handle within an agent’s existing tech stack.

By launching Maia, Cloze has bridged a significant gap in real estate technology — voice + text input mapped to real, cross-platform action. For agents, that could translate into reclaimed hours, fewer toggles between apps, and more time focusing on clients rather than admin.

That said, this is early days. The success of Maia (and tools like it) hinges on user trust, accuracy, and the quality of execution.

But as AI continues to push forward in real estate, features like these help clarify what “intelligent real estate tech” looks like: systems that don’t just assist — they do.

Q: Who can access Maia right now?
Maia is available in beta for Cloze customers on the Platinum and Enterprise plans.

Q: Can Maia work outside Cloze?
Yes — Maia supports integrations with external tools and supports Model Context Protocol (MCP), enabling other AI assistants to trigger Maia’s actions.

Q: Will Maia fully replace agents’ data entry or marketing tools?
Not immediately. Maia’s power is in automating routine tasks and bridging workflows. But for more complex or custom tasks, agents will still intervene.

Q: Is speech recognition accurate enough for real estate commands?
Early feedback suggests good performance, especially for structured commands. But like all AI speech tools, it’s subject to accents, background noise, and phrasing variability.

Q: What’s the difference between Maia and typical AI chat assistants?
Unlike assistants that merely suggest — “you should email your client” or “draft a flyer” — Maia will entroduction: A New Milestone in Real Estate Tech

In a bold move that underscores how quickly real estate technology is evolving, Cloze has just unveiled Maia — a voice- and text-driven AI assistant built for real estate professionals. Maia is designed not just to suggest or generate content, but to take action across the Cloze platform and connected tools — all from plain language commands.

This is significant. As AI adoption accelerates in real estate, solutions that bridge between human language, agent workflows, and multiple software systems carry the potential to shift how agents spend their time. In this article, we’ll break down what Maia offers, what its implications are for real estate tech, and how brokers and agents should think about adopting it.

Unlike many AI assistants that remain passive (e.g. suggesting what you could do), Maia goes further — it executes tasks in real time based on everyday language. For example:

This elevates Maia beyond mere “assistant” — it acts as a virtual executor in the agent’s tech stack.

One of Maia’s standout features is its meeting transcription ability. It can:

Then, Maia doesn’t stop there — it lets agents approve or check off action items via voice/text commands. That means you spend less time typing, toggling windows, or “catching up” after meetings.

Maia was built with an “open ecosystem” approach. Instead of being locked into just Cloze, it supports integrating with and triggering workflows in other apps. It also supports Model Context Protocol (MCP), allowing Maia’s tools to be used from inside other AI systems.

In practical terms: you can ask Maia to “send this property to Cloud CMA” or “boost this listing via HomeSpotter” without leaving Cloze.

Real estate agents spend a lot of time out in the field. Maia’s voice-driven interface is ideal for those moments when touching a screen is a distraction. Cloze built Maia with mobile-first usage in mind.

This essentially brings the promise of “hands-free CRM + assistant” closer to reality.

A perennial challenge in real estate tech is “app fatigue” — agents juggling half a dozen tools (CRM, marketing, MLS, listing presentation, etc.). Maia’s open design reduces friction by letting you interact with multiple tools from one interface.

This is a step toward what some call the “connected brokerage” model, where the tech stack feels cohesive, not disconnected.

At its core, real estate is about relationships. Maia helps automate the upkeep — following up after meetings, reminding agents about client touchpoints, drafting communication at scale — yet grounded in each client’s full history. Agents who use it well might reclaim hours each week that otherwise go into admin.

Many AI tools provide ideas, outlines, or content drafts. Maia’s distinguishing trait is taking action—that leap from “suggestion” to “execution” is what often separates hype from real usable productivity.

In the real estate technology domain, that shift is a sign of maturity.

Maia is currently in beta for Cloze’s Platinum and Enterprise customers. As with any emergent AI, errors — misheard speech, transcription mistakes, or mis-executed commands — are risks. Cloze itself notes that AI “can get things wrong” and encourages users to double-check important items.

To function, Maia must access sensitive data: contacts, communication history, meeting recordings, property details, etc. Brokers and agents should carefully vet how permissions, storage, and data flows are managed, especially if integrations span external platforms.

Adopting voice-first workflows will require learning. Users must train themselves to speak in ways the assistant understands, to phrase commands clearly, and to trust Maia. Some agents will resist, preferring manual control. The value will depend heavily on how intuitive and forgiving Maia is with natural language.

While Maia supports many integrations, there will inevitably be apps or features it doesn’t yet support. For those edge cases, agents will revert to manual handling. The success of Maia in everyday practice will depend on how many of the routine tasks it can reliably handle within an agent’s existing tech stack.

By launching Maia, Cloze has bridged a significant gap in real estate technology — voice + text input mapped to real, cross-platform action. For agents, that could translate into reclaimed hours, fewer toggles between apps, and more time focusing on clients rather than admin.

That said, this is early days. The success of Maia (and tools like it) hinges on user trust, accuracy, and the quality of execution.

But as AI continues to push forward in real estate, features like these help clarify what “intelligent real estate tech” looks like: systems that don’t just assist — they do.

Q: Who can access Maia right now?
Maia is available in beta for Cloze customers on the Platinum and Enterprise plans.

Q: Can Maia work outside Cloze?
Yes — Maia supports integrations with external tools and supports Model Context Protocol (MCP), enabling other AI assistants to trigger Maia’s actions.

Q: Will Maia fully replace agents’ data entry or marketing tools?
Not immediately. Maia’s power is in automating routine tasks and bridging workflows. But for more complex or custom tasks, agents will still intervene.

Q: Is speech recognition accurate enough for real estate commands?
Early feedback suggests good performance, especially for structured commands. But like all AI speech tools, it’s subject to accents, background noise, and phrasing variability.

Q: What’s the difference between Maia and typical AI chat assistants?
Unlike assistants that merely suggest — “you should email your client” or “draft a flyer” — Maia will execute the command (e.g. actually draft/send the email, produce a flyer) within connected apps.

Q: How should brokerages evaluate if Maia is worth enabling?
Track metrics: hours saved vs. error correction required, agent satisfaction, adoption rates, and the reduction in repetitive tasks. Use pilot programs, feedback loops, and incremental rollout.xecute the command (e.g. actually draft/send the email, produce a flyer) within connected apps.

Q: How should brokerages evaluate if Maia is worth enabling?
Track metrics: hours saved vs. error correction required, agent satisfaction, adoption rates, and the reduction in repetitive tasks. Use pilot programs, feedback loops, and incremental rollout.