Google Cloud Healthcare United Kingdom

Quadrivia

Customer Service Automation

Quadrivia needed a healthcare assistant that could automate clinical work in real time, preserve patient safety, and connect to electronic health records without sacrificing latency or privacy.

Reported impact

Business outcome

Quadrivia automated a meaningful share of clinical work, cut patient response latency, and improved the safety and accuracy of AI-supported care interactions.

  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

Quadrivia uses Google Cloud to address this challenge: Quadrivia needed a healthcare assistant that could automate clinical work in real time, preserve patient safety, and connect to electronic health records without sacrificing latency or privacy. Gemini Flash handles Q Assistant reasoning workloads with low latency, multimodal understanding, and tool calling for patient and clinician interactions, serving as the compute layer. Cloud Healthcare API connects the assistant to electronic health records so responses use the right clinical context, serving as the ingest layer. Sensitive Data Protection protects regulated patient information inside the workflow, serving as the governance layer. Security Command Center surfaces vulnerabilities and supports continuous security monitoring for the healthcare platform, serving as the governance layer.

Data flow

Voice and chat requests enter Q Assistant, Gemini Flash reasons over the interaction, Cloud Healthcare API pulls electronic health record context, governance services protect the data, and GKE distributes the workload to production environments in different geographies.

Solution architecture

5 components · 4 layers
  1. Ingest
    • Cloud Healthcare API connects the assistant to electronic health records so responses use the right clinical context
  2. Compute
    • Gemini Flash handles Q Assistant reasoning workloads with low latency, multimodal understanding, and tool calling for patient and clinician interactions
  3. Orchestration
    • Google Kubernetes Engine deploys the assistant services so Quadrivia can reach patients across multiple geographies, including rural users
  4. Governance
    • Sensitive Data Protection protects regulated patient information inside the workflow
    • Security Command Center surfaces vulnerabilities and supports continuous security monitoring for the healthcare platform

Architecture clues

  • Clinicians can route calls to a human with natural language rules
  • Gemini supports both text and voice in one session without losing context
  • The platform is aiming toward self-healing AI that monitors conversations for technical issues

Evidence from the source

Quadrivia uses Gemini, alongside other LLM models, to automate up to 30% of clinical tasks, delivering 10x faster response times for patients.
The data integration provided by Cloud Healthcare API ensures that Q has the right context at the right time, leading to a 99.96% clinical accuracy rate.
With the low latency of Gemini, Q delivers a 1.8-second response time.
Transparency Evidence & methodology 70/100 reference value · 82% confidence · 3 sources

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 value70/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence82%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency9/10
    3 source references 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

    Quadrivia customer story

    First-party
    https://cloud.google.com/customers/quadrivia
    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
  2. Companies House

    QUADRIVIA (UK) LIMITED overview

    Government
    https://find-and-update.company-information.service.gov.uk/company/15915246

    Registered office address: 4th Floor 3 More London Riverside, London, United Kingdom, SE1 2AQ.

    Source type
    Government registry
    Supports
    • Region
  3. Built In

    Quadrivia AI company profile

    Independent secondary
    https://builtin.com/company/quadrivia-ai

    The organization profile reports 29 total employees; the standard mapping classifies fewer than 250 employees as SMB.

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

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