Normalized claim
AI time-to-first-token: 10 x decrease
Reduced AI time-to-first-token by 10x
GCPEvidence: Medium50/100
Quadrivia uses Gemini Enterprise to automate up to 30% of clinical tasks and improve patient conversation speed and safety
Use case typeAI agentsUpdated Jun 24, 2026
Quadrivia built its Q clinical AI platform to automate routine patient follow-ups and manage patient journeys end to end, helping clinicians focus on more complex care without adding headcount. The platform uses Gemini Enterprise Agent Platform, Gemini Flash, Google Kubernetes Engine, Cloud Healthcare API, Security Command Center, and Sensitive Data Protection to support low-latency, multimodal clinical conversations and protect patient data.
- Organization
- Quadrivia
- Industry
- Healthcare
- Location
- United Kingdom
- Published
- June 2026
Reported outcomes
AI time-to-first-token: 10× lower
Time & speed
Average response time: 1.8 secondsCare Delivery Success: 73% to 82.3%
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Average response time: 1.8 seconds decrease
1.8-second average response time
Normalized claim
No-Harm Clinical Safety: 98.4% increase
98.4% No-Harm Clinical Safety from patient interactions
Normalized claim
Care Delivery Success: 73-82.3% increase
Care Delivery Success increased from 73.0% to 82.3%
Normalized claim
Clinical task automation: 30% increase
automate up to 30% of clinical tasks
Normalized claim
Clinical accuracy: 100% increase
99.96% clinical accuracy rate
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Quadrivia
- Provider
- GCP
- Maturity
- Unknown
- Linked source
- Google Cloud Customer Stories
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1AI agents
- 2Workflow automation
- 3Safety monitoring
- Quadrivia built the Q clinical AI platform so clinicians can design and test medical journeys.
- The company migrated reasoning workloads for Q Assistant to Gemini Enterprise Agent Platform to improve latency.
- Q uses Gemini Flash for low-latency multimodal text and voice conversations.
- Cloud Healthcare API integrates electronic health record context for safety and accuracy.
- Security Command Center and Sensitive Data Protection are used to identify vulnerabilities and protect patient information.
- Google Kubernetes Engine supports deployment across geographies.
- Quadrivia reports reducing AI time-to-first-token by 10x.
- The platform achieved a 1.8-second average response time.
- Care Delivery Success increased from 73.0% to 82.3%.
- The platform reports 99.96% clinical accuracy.
Architecture
Quadrivia’s Q platform runs on Google Cloud and uses Gemini Enterprise Agent Platform for reasoning workloads, Gemini Flash for multimodal low-latency responses, Cloud Healthcare API for EHR context, Security Command Center and Sensitive Data Protection for security and privacy, and Google Kubernetes Engine for deployment at scale.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jun 24, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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