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Google Cloud Healthcare United States

EVERSANA

Marketing Personalization · Real-time Analytics · Security and Compliance

“Because of the regulation, the system is super slow and very expensive to operate,” explains Faruk Capan, EVERSANA’s Chief Innovation Officer. “We have to be very careful with the FDA, everything needs to be double checked.

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Achieving 50% faster delivery at 30% lower cost for new projects
Creating approval-ready, compliant campaign content in 30 minutes

Reported impact

Business outcome

Launched the industry’s first agentic AI platform for pharma marketing; Deployed a taskforce of specialized, highly trained agents with Gemini platform; Creating approval-ready, compliant campaign content in 30 minutes; Reduced campaign development timelines from months to weeks.

  • Compliance
  • Cost Reduction
  • Productivity Improvement
  • Risk Reduction

Solution

Using Gemini platform , the team was able to build a taskforce of discrete, highly trained agents that function as expert teams. Powered by Google’s validated, compliant and powerful AI—including models like Gemini Veo , and Imagen —these agents work together simultaneously across strategy, omnichannel planning, and content creation. Gemini platform’s deep integration with BigQuery also ensures data privacy, enabling EVERSANA to ground agents in real-time business context while keeping client information within a secure corporate infrastructure and never using it for training or advertising. “We partner with Google Cloud because our clients need more than AI Innovation. They need accuracy, reliability, and security " Capan explains.

Data flow

stored or unified in BigQuery, orchestrated via Gemini platform, and surfaced through Gemini, Veo

Solution architecture

4 components · 3 layers
  1. Storage
    • BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
  2. Serving
    • Gemini Powers natural-language reasoning, summarization, generation, or assistance inside the workflow.
    • Veo Generates video-centric creative content for user experiences.
  3. Orchestration
    • Gemini platform Coordinates the solution's agentic and generative AI workflows on Google Cloud.

Architecture clues

  • Achieving 50% faster delivery at 30% lower cost for new projects
  • BigQuery
  • Deployed a taskforce of specialized, highly trained agents with Gemini platform

Evidence from the source

Achieving 50% faster delivery at 30% lower cost for new projects
Creating approval-ready, compliant campaign content in 30 minutes
Deployed a taskforce of specialized, highly trained agents with Gemini platform
Launched the industry’s first agentic AI platform for pharma marketing
Reduced campaign development timelines from months to weeks
Transparency Evidence & methodology 95/100 reference value · 79% 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 value95/100
  • 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 specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • 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
    5 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 specificity10/10
    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

    EVERSANA customer story

    First-party
    https://cloud.google.com/customers/eversana
    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 Nov 12, 2025 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Oct 8, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    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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