Google Cloud Real Estate and Construction Brazil

Emccamp Residencial

Marketing Personalization

Emccamp Residencial is a Brazilian real estate and construction company with 49 years of history, building homes across a full range of income levels, from affordable first-home developments to high-end properties.

33% efficiency gain in agentic workflow automation
Estimated marketing production savings of R$170K-R$200K
Land acquisition research cut from five weeks to minutes
Landing page built in four hours for R$50, down from R$8,000

Reported impact

Business outcome

Landing page built in four hours for R$50, down from R$8,000; Estimated marketing production savings of R$170K-R$200K; Land acquisition research cut from five weeks to minutes; 33% efficiency gain in agentic workflow automation.

  • Cost Reduction
  • Productivity Improvement
  • Revenue Growth
  • Speed to Market

Solution

Using Google Cloud AI, Emccamp produces landing pages in four hours compared to three weeks, cutting costs by 96%. Emccamp Residencial is a Brazilian real estate and construction company with 49 years of history, building homes across a full range of income levels, from affordable first-home developments to high-end properties. With dozens of active developments at any given time and a growing ambition to scale the business without proportionally growing its headcount, the company's ability to produce marketing content efficiently is directly tied to its ability to compete. Emccamp had already been using Google Cloud when a new wave of AI capabilities emerged. What stood out was not a single tool, but the maturity of the platform and the pace at which it was evolving. We had been researching for months, looking at what companies in China and Europe were doing differently.

Solution architecture

7 components · 4 layers
  1. Compute
    • Imagen generates high-quality storyboards that preserve visual continuity during pre-production and shot iteration
    • Cloud Run Runs serverless application services and APIs with automatic scaling for bursty workloads.
  2. Storage
    • Cloud Storage Stores large files, lake data, or static assets that feed downstream analytics and applications.
  3. Serving
    • Veo Generates video-centric creative content for user experiences.
    • Text-to-Speech API Generates narrated voiceovers and spoken responses for end-user content.
    • Gemini Enterprise Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  4. Orchestration
    • Gemini Enterprise Agent Platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.

Architecture clues

  • A marketing team member starts with a raw architectural image, uses Imagen to adjust the angle, lighting, or setting, brings it to life with Veo, and adds a localized voiceover with Text-to-Speech, choosing the right regional accent for eac
  • For marketing, the company uses a suite of Gemini Enterprise Agent Platform (formerly known as Vertex AI) working together:
  • Gemini Enterprise
  • Imagen
  • Text-to-Speech API
  • Veo

Evidence from the source

33% efficiency gain in agentic workflow automation
Emccamp Residencial is a Brazilian real estate and construction company with 49 years of history, building homes across a full range of income levels, from affordable first-home developments to high-end properties. With dozens of active dev
Estimated marketing production savings of R$170K-R$200K
Land acquisition research cut from five weeks to minutes
Landing page built in four hours for R$50, down from R$8,000
Using Google Cloud AI, Emccamp produces landing pages in four hours compared to three weeks, cutting costs by 96%.
Transparency Evidence & methodology 90/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Emccamp Residencial customer story

    First-party
    https://cloud.google.com/customers/emccamp
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • Sitemap last modified Jul 9, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Jul 9, 2026 · Google Cloud · Unknown Legacy extracted date without source-page confirmation.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.