Lugui

Cover Block

PUBLIC

Name	Lugui
Tagline	AI agents on WhatsApp for automated tenant screening and rental bureaucracy in Brazil.
Headquarters	São Paulo, Brazil
Founded	2024
Stage	Angel
Business Model	B2B
Industry	Proptech
Technology	AI / Machine Learning
Geography	Latin America
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding Label	Pre-seed
Total Disclosed	~$300,000 (R$1.5 million) [TI Inside, October 2025]

Links

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• Website: https://lugui.co/en/
• LinkedIn: https://www.linkedin.com/in/thomazguz/

Executive Summary

PUBLIC Lugui is a São Paulo-based proptech startup using conversational AI agents on WhatsApp to automate the notoriously bureaucratic tenant screening process for Brazilian real estate brokers, a wedge into a local rental market valued at roughly R$500 billion [TI Inside, October 2025]. The company, founded in 2024 by Thomaz Guz, a veteran of the local proptech scene, has raised R$1.5 million (estimated $300,000 USD) in an angel round to build out its platform [TI Inside, October 2025]. Its core product allows a broker to send a prospective tenant's CPF or CNPJ via a WhatsApp text or voice message and receive, within seconds, a synthesized report on credit, legal history, and outstanding debts by connecting to sources like Serasa and federal revenue systems [Lugui, retrieved 2024].

The differentiation lies in its operational model, meeting brokers on the communication channel they already use daily, rather than forcing adoption of a new desktop application. Guz's background includes roles at Nomah and the proptech unicorn Loft, providing relevant industry context for the problem he is solving [TI Inside, October 2025]. The business model is B2B, targeting agencies and brokers with a subscription fee for access to its AI agents, and the company reports a goal of surpassing 300 daily active users and R$1 million in annualized revenue by the end of 2025 [TI Inside, October 2025]. Over the next 12-18 months, execution on its partnership with Cardinali to develop a fully autonomous rental operating model will be a critical test of its ambition to move beyond screening into the broader rental workflow.

Data Accuracy: YELLOW -- Core product description and founder background are confirmed; funding, traction, and market size rely on a single primary press report.

Taxonomy Snapshot

Axis	Classification
Stage	Angel
Business Model	B2B
Industry / Vertical	Proptech
Technology Type	AI / Machine Learning
Geography	Latin America
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding	Pre-seed (total disclosed ~$300,000)

Company Overview

PUBLIC

Lugui is a São Paulo-based proptech startup founded in 2024 by Thomaz Guz, a former executive at the Brazilian real estate platforms Nomah and Loft [TI Inside, October 2025]. The company was launched after Guz took a sabbatical to focus on generative AI applications, aiming to address operational bottlenecks in Brazil's rental sector [TI Inside, October 2025]. Its primary operational model involves deploying AI agents on WhatsApp to automate tenant screening and document processing for real estate brokers and agencies.

Key milestones are concentrated in 2025, beginning with the launch of its initial AI agent for credit analysis. In October 2025, the company announced it had raised R$1.5 million (approximately $300,000) in an angel round from individual investors including Ernani Assis of Remax and Admar Cruz, formerly of Casa Mineira and QuintoAndar [TI Inside, October 2025]. The same month, Lugui reported having more than 50 daily active users of its agents and announced a partnership with Cardinali to develop what it describes as the first fully autonomous rental operating model powered by AI agents [TI Inside, October 2025].

Data Accuracy: YELLOW -- Founding details and funding amount are reported by a single trade publication; founder's prior roles are corroborated by LinkedIn.

Product and Technology

MIXED

The product is a wedge into a notoriously bureaucratic market, delivered through a channel that is already the default. Lugui’s core offering is an AI agent that performs tenant screening entirely within WhatsApp, a platform where Brazilian real estate brokers already conduct a significant portion of their daily communication [TI Inside, October 2025]. A broker sends a prospective tenant’s CPF (individual taxpayer ID) or CNPJ (company ID) via text or voice message, and the agent returns a synthesized report with credit scores, legal history, and outstanding debts within seconds [Lugui, retrieved 2024]. This process, which the company claims connects to public and private data sources like Serasa, court systems, and Brazil’s Federal Revenue Service, aims to replace manual, multi-hour checks with an automated, conversational interface [TI Inside, October 2025].

The underlying technology is described as a proprietary integration layer that orchestrates large language models from Google, Anthropic, and OpenAI to process raw data into structured reports [TI Inside, October 2025]. The company’s public roadmap, as of late 2025, includes two additional agents in development:

• Document collection. An automated workflow to request and organize necessary rental documents from tenants via the same WhatsApp thread.
• Certificate issuance. A system to generate required certificates, aiming to reduce a process that currently takes hours to seconds [TI Inside, October 2025].

A more ambitious, long-term vision involves a partnership with real estate firm Cardinali to build what Lugui calls the first fully autonomous rental operating model powered by AI agents [TI Inside, October 2025]. This suggests an eventual expansion from discrete screening tasks to managing entire rental workflows. The current traction metric cited is more than 50 daily active users of its AI agents, with a goal to surpass 300 DAUs and 100+ real estate agencies by the end of 2025 [TI Inside, October 2025].

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The opportunity for Lugui hinges on the sheer scale and persistent friction within Brazil's residential rental market, a sector characterized by high transaction volumes and a notoriously manual, document-heavy process.

Third-party sizing for the specific rental screening niche is not available, but the broader market context is established. The Brazilian rental sector is valued at approximately R$500 billion (estimated $100 billion USD) annually, according to coverage citing the company's own market assessment [TI Inside, October 2025]. This figure serves as a high-level proxy for total addressable market (TAM). The serviceable available market (SAM) would be the portion of that activity managed by professional brokers and agencies, which Lugui targets. While a precise SAM figure is not cited, the company's stated goal of onboarding 100+ real estate agencies by year-end 2025 provides an initial serviceable obtainable market (SOM) target [TI Inside, October 2025].

Total Brazilian Rental Market (TAM) | 500 | R$B

The sizing, while sourced from company-linked coverage, aligns with the scale of activity in a major emerging economy. The more critical driver than the raw market size is the nature of the demand. The rental process in Brazil is burdened by extensive bureaucracy, requiring manual checks across disparate public and private registries for credit, legal, and income verification. This creates a clear pain point around speed and operational cost for brokers, which is the primary demand driver Lugui's product addresses. A secondary tailwind is the near-ubiquitous use of WhatsApp as a primary business communication channel in Brazil, reducing adoption friction for a tool built within that interface.

Adjacent and substitute markets provide context for expansion and competition. The core substitute is the incumbent manual process, supported by a fragmented ecosystem of individual data providers like Serasa Experian for credit scores and various government portals for legal records. Adjacent markets include property management software, which often bundles basic tenant screening, and broader proptech platforms focused on sales transactions rather than rentals. Lugui's wedge is its focused automation of a single, high-frequency workflow within the rental lifecycle, as opposed to offering a comprehensive CRM or transaction platform.

Regulatory forces are a double-edged sword. Brazil's General Data Protection Law (LGPD) imposes strict requirements on the processing of personal data, including CPF (tax ID) numbers and financial information. Lugui's need to connect to sensitive data sources like court systems and the Federal Revenue Service means robust data security and compliance protocols are non-negotiable cost centers and potential barriers. Conversely, ongoing government digitization initiatives that make public records more accessible via API could lower integration costs over time. Macro forces, such as interest rate fluctuations impacting real estate affordability, could affect rental transaction volumes, though the need for screening on each transaction would remain.

Data Accuracy: YELLOW -- Market size figure is cited in company coverage but not from an independent market research report. Adjacent market and regulatory context is based on general industry knowledge.

Competitive Landscape

MIXED Lugui's position is defined by its choice to build on a ubiquitous communication platform for a market where digital adoption is often fragmented, a strategy that places it adjacent to, rather than directly against, larger proptech incumbents.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Lugui	AI agents on WhatsApp for tenant screening & rental bureaucracy in Brazil.	Angel (~$300k)	WhatsApp-native, conversational interface for brokers; developing autonomous rental model.	[TI Inside, October 2025]
QuintoAndar	Full-stack digital rental and sale platform in Brazil.	Late-stage unicorn	End-to-end platform controlling tenant sourcing, contracting, and payments; massive scale.	[Structured Facts]
Loft	Technology-driven real estate brokerage and transaction platform in Brazil.	Late-stage unicorn	Focus on residential sales and high-touch brokerage; significant brand and capital resources.	[Structured Facts]

Lugui operates within a competitive map that can be segmented into three distinct tiers. The first tier consists of full-stack digital platforms like QuintoAndar and Loft, which have built comprehensive, capital-intensive marketplaces for property transactions. These incumbents own the customer relationship end-to-end and have the resources to develop or acquire any technology that becomes critical to their core operations. The second tier includes specialized point solutions like CrediHome, which focus on a specific piece of the rental process, such as credit analysis, and sell their services to agencies and potentially to the platforms themselves. Lugui sits in this second tier but with a distinct wedge. The third tier comprises adjacent substitutes: the manual processes still dominant in thousands of independent agencies, and generic credit bureaus like Serasa whose data Lugui itself consumes but which do not offer a proptech-specific, conversational interface.

Lugui's current defensible edge is its distribution model. By embedding its service directly into WhatsApp, it meets brokers where they already conduct business, eliminating a significant adoption friction. This channel advantage is supported by a proprietary integration layer that connects to various data sources, as reported [TI Inside, October 2025]. The edge is durable only if Lugui can maintain a superior user experience and data synthesis capability within that channel before larger players decide to replicate the feature. The founder's prior experience at Nomah and Loft provides relevant industry context, but the primary moat at this stage is execution speed and product-market fit within a specific, high-frequency workflow.

The company's exposure is twofold. First, it is vulnerable to competition from the platforms above. If QuintoAndar or Loft decide to build a similar WhatsApp-integrated screening tool for their vast partner networks, they could replicate Lugui's functionality at scale with superior data access and existing trust. Second, Lugui's model is currently narrow, focused on the screening and document collection phase. It does not yet own the subsequent steps of the rental lifecycle, such as digital contracting or payment management, leaving it exposed to competitors that offer a more integrated suite. Its reliance on third-party LLMs (Google, Anthropic, OpenAI) for core intelligence, while pragmatic, also means its core AI capability is not a proprietary barrier [TI Inside, October 2022025].

The most plausible 18-month scenario involves consolidation of point solutions. If Lugui successfully hits its reported goal of 100+ agency partners and demonstrates material time savings, it becomes an attractive acquisition target for a platform seeking to quickly enhance its agent-facing tools. The "winner" in this scenario is likely a company like Loft, which could integrate Lugui's WhatsApp layer to strengthen its brokerage partnerships. The "loser" would be a standalone credit analysis service like CrediHome, if it fails to evolve beyond a static report generator and loses share to more interactive, agent-centric tools. Lugui's fate hinges on proving that its conversational, WhatsApp-first model drives significantly higher broker engagement and loyalty than traditional web portals or API integrations.

Data Accuracy: YELLOW -- Competitor identification and basic positioning are public, but detailed funding and differentiation for named competitors beyond Lugui are not fully corroborated by independent sources.

Opportunity

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Lugui's opportunity rests on capturing a material share of the operational spend within Brazil's R$500 billion rental market by automating its most tedious and time-consuming workflows [TI Inside, October 2025].

The headline opportunity is to become the default operational layer for Brazilian residential rentals, a position defined by owning the critical path of tenant verification and document flow. The company's wedge is not merely a point solution for screening but a path to automating the entire rental lifecycle from inquiry to contract signing, all within the ubiquitous WhatsApp interface. This outcome is reachable because the company is already executing on the first step, with a live product connecting to core data sources like Serasa and court systems, and has secured a partnership with Cardinali to build what it calls the first fully autonomous rental operating model [TI Inside, October 2025]. The founder's background at Loft and Nomah provides direct exposure to the scale and inefficiencies of this market, grounding the ambition in observed industry pain points.

Growth from the current reported base of over 50 daily active users could follow several concrete paths, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Agency Platform	Lugui expands from screening to a full-service platform for independent brokers, bundling payments, contract generation, and maintenance requests.	Launch of the automatic document collection and certificate issuance agents, as cited in development [TI Inside, October 2025].	The product roadmap explicitly includes these adjacent workflows, and brokers already use multiple disparate tools. Consolidation onto a single, WhatsApp-native platform reduces friction.
Enterprise Channel	The company signs exclusive or preferred partnerships with large real estate franchisors (e.g., Remax, where investor Ernani Assis is based) to embed its agents across thousands of affiliated offices [TI Inside, October 2025].	A successful pilot with a major franchise network, leveraging existing investor relationships.	The B2B model and angel investor base include executives with direct channels into large broker networks, providing a plausible route to scaled distribution.
Data & API Business	Lugui's proprietary integration layer and normalized data outputs become a sellable API for proptechs, fintechs, and property management software seeking tenant analytics.	Recognition of data consistency and speed advantages by third-party developers, leading to inbound integration requests.	The technical stack already aggregates and processes data from multiple fragmented sources, creating a cleaned, actionable dataset that has standalone value beyond the chat interface.

Compounding for Lugui would manifest as a data and workflow lock-in effect. Each new agency onboarded contributes more transaction volume, which improves the AI agents' understanding of regional rental patterns, common document discrepancies, and fraud signals. More importantly, as brokers conduct more of their operational workflow inside Lugui's WhatsApp environment,from initial screening to final certificate issuance,switching costs rise significantly. The company's cited goal of moving from screening to full autonomy in partnership with Cardinali is the first test of this flywheel: success there would demonstrate the model's expandability and make the platform increasingly indispensable [TI Inside, October 2025].

The size of the win can be framed by looking at comparable companies that have digitized segments of real estate transactions. QuintoAndar, a Brazilian proptech unicorn, reached a valuation of approximately $5 billion at its peak by streamlining the rental search and transaction process for consumers. While Lugui operates on the B2B side, automating the broker's workflow, a successful capture of the operational software layer for a meaningful portion of the market could support a valuation in the hundreds of millions of dollars. If the Agency Platform scenario plays out and Lugui achieves its stated goal of serving 100+ agencies, the recurring software revenue from that base, combined with potential transaction fees, would establish a foundation for significant enterprise value. This is a scenario, not a forecast, but it illustrates the potential scale if execution aligns with the cited market need and product roadmap.

Data Accuracy: YELLOW -- The core market size (R$500 billion) and product roadmap are reported by a single trade publication. The partnership with Cardinali is cited but details are limited. Founder background is corroborated by LinkedIn.

Sources

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1. [Lugui, retrieved 2024] Lugui , https://lugui.co/en/

2. [LinkedIn, retrieved 2024] Thomaz Guz - Lugui AI | LinkedIn , https://www.linkedin.com/in/thomazguz/

3. [TI Inside, October 2025] Lugui aposta em agentes de IA no WhatsApp e mira R$ 1 milhão em faturamento , https://tiinside.com.br/13/10/2025/lugui-aposta-em-agentes-de-ia-no-whatsapp-e-mira-r-1-milhao-em-faturamento/

4. [LinkedIn, retrieved 2026] Thomaz Guz - Lugui AI | LinkedIn , https://br.linkedin.com/in/thomazguz

5. [Canal Executivo, October 2025] Lugui aposta em agentes de IA no WhatsApp e mira R$ 1 mi em receita , https://canalexecutivoblog.wordpress.com/2025/10/14/lugui-aposta-em-agentes-de-ia-no-whatsapp-e-mira-r-1-mi-em-receita/