Normalized claim
Tokens processed: 1 trillion+ increase
Processed more than one trillion tokens across seven distinct industries
Riafy scales multi-agent production workflows with Gemini Enterprise Agent Platform
Use case typeWorkflow orchestrationUpdated Jan 1, 2024
Riafy Technologies built its R10 execution platform to move multi-step AI workflows from demo environments into reliable live production at global scale. The company serves 125 million people across 157 countries and uses Google Cloud infrastructure to run enterprise-grade agent workflows with strong guardrails, regional endpoints, and high availability.
- Organization
- Riafy Technologies
- Industry
- Tech & Comms
- Location
- India
- Published
- January 2024
Reported outcomes
1 trillion+
tokens processedOther quantified impact
−97.5%incident diagnostics time−99.7%AI agent integration time
Strategic outcomes
Scale & capacitySupported live enterprise execution at global scaleRisk & complianceEnabled regional data sovereignty for local enterprise clientsNew product / capabilityTurned AI into a transactional revenue channel
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Incident diagnostics time: 97.5% decrease
the time required to isolate and diagnose complex multi-agent system incidents plummeted from 40 minutes to less than a single minute
Normalized claim
AI agent integration time: 99.7% decrease
the time required to isolate and diagnose complex multi-agent system incidents plummeted from 40 minutes to less than a single minute
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Riafy Technologies
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Story
It engineered the backend in Golang and deployed it on Cloud Run, Cloud Load Balancing, Cloud SQL, Google Cloud Armor, and Google Cloud Marketplace for scalable distribution
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Workflow orchestration
- 2Developer productivity
- 3Operations optimization
- Moving multi-step AI workflows from controlled demos into unpredictable live production caused output inconsistencies.
- Enterprise customers needed high availability, data sovereignty, and localized compliance for high-stakes transactions.
- The team needed a reliable foundation to scale agentic workflows across multiple industries and traffic spikes.
- Riafy anchored R10 on Gemini Enterprise Agent Platform and Gemini models for guardrails, deep fine-tuning, and multi-step tool use.
- It engineered the backend in Golang and deployed it on Cloud Run, Cloud Load Balancing, Cloud SQL, Google Cloud Armor, and Google Cloud Marketplace for scalable distribution.
- Regional endpoints within the India tenancy framework support data sovereignty and low latency.
- The platform processed more than 1 trillion tokens in live production.
- Incident diagnostics fell from 40 minutes to under 1 minute.
- AI agent integration accelerated from 8 weeks to under 12 hours.
- The system handled sudden 8x traffic spikes and supported 125 million users across 157 countries.
Architecture
Custom agent execution platform built on Gemini Enterprise Agent Platform, Gemini models, Cloud Run, Cloud Load Balancing, Cloud SQL, Google Cloud Armor, and Google Cloud Marketplace, with regional endpoints for data sovereignty and low latency.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jan 1, 2024Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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