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Google Cloud Commercial and Professional Services United States

Huge

Sales Automation

With teams that span strategy through implementation, Huge needed technology partners who could keep pace with its ambition to marry creative excellence with technical depth.

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Huge isn't your typical agency. As a design and technology company working with Fortune 100 companies, Huge doesn't do paint-by-numbers work. It creates differentiated digital experiences across websites, mobile apps, and experiential…
Huge's relationship with Google started over a decade ago, and it works both ways. Huge maintains platforms such as Google's The Keyword blog, while also investing heavily in Google Cloud itself, with 40 Google Cloud certifications across…

Reported impact

Business outcome

Reduced new business intake processing from days to minutes

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

With teams that span strategy through implementation, Huge needed technology partners who could keep pace with its ambition to marry creative excellence with technical depth. Huge also runs its own data infrastructure on BigQuery , the autonomous data to AI platform. "The ease of use has always stood out with Google Cloud," says Jon Hackett, VP of technology at Huge. "You don't necessarily need an entire DevOps or infrastructure… Alongside the integrated nature of the Gemini platform agent builder—the development platform for building and using generative AI—and the Google Workspace tools Huge was already using, Gemini has driven time savings across various departments. "I use it for… Key components include Gemini platform coordinates multi-agent workflows, tool calling, and governed automation across the application; Agent Builder coordinates multi-agent workflows, tool calling, and governed automation across the application; Google Workspace provides the collaboration or.

Solution architecture

5 components · 4 layers
  1. Compute
    • Veo 3 Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  2. Storage
    • BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
  3. Serving
    • Google Workspace Provides the collaboration or conversational surface where users work with AI assistance.
  4. Orchestration
    • Gemini platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.
    • Agent Builder Coordinates multi-agent workflows, tool calling, and governed automation across the application.

Architecture clues

  • Alongside the integrated nature of the Gemini platform agent builder—the development platform for building and using generative AI—and the Google Workspace tools Huge was already using, Gemini has driven time savings…
  • Huge also runs its own data infrastructure on BigQuery , the autonomous data to AI platform. "The ease of use has always stood out with Google Cloud," says Jon Hackett, VP of technology at Huge. "You don't necessarily…
  • The impact of Gemini has amplified Huge's client offerings, with improvements in generative AI for creative work opening new service lines. "It's enabled us to offer more to clients," says Rose Cortico, MD of technology…
  • Using Gemini —which empowers teams to discover, create, share, and run AI agents on a single, secure platform—Huge automated the vetting workflow. It funneled incoming requests through an automated pipeline that kicked…
  • is an independent design and technology company that creates intelligent experiences for the world's most ambitious brands. With offices across North America, Latin America, Europe, and APAC, Huge blends creativity,…

Evidence from the source

Huge also runs its own data infrastructure on BigQuery , the autonomous data to AI platform. "The ease of use has always stood out with Google Cloud," says Jon Hackett, VP of technology at Huge. "You don't necessarily…
Huge isn't your typical agency. As a design and technology company working with Fortune 100 companies, Huge doesn't do paint-by-numbers work. It creates differentiated digital experiences across websites, mobile apps,…
Huge's relationship with Google started over a decade ago, and it works both ways. Huge maintains platforms such as Google's The Keyword blog, while also investing heavily in Google Cloud itself, with 40 Google Cloud…
Reduced new business intake processing from days to minutes
The ease of use has always stood out with Google Cloud. You don't necessarily need an entire DevOps or infrastructure team for an engineer to quickly stand up a website. AWS has features that do that but it just takes…
with Google Cloud
Transparency Evidence & methodology 66/100 reference value · 73% 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 value66/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence73%
  • 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 specificity4/10
    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

    Huge customer story

    First-party
    https://cloud.google.com/customers/huge
    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

  • First archived May 12, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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