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Google Cloud Software / SaaS India

Riafy Technologies

IT Operations Automation · Security and Compliance

Riafy Technologies began its journey with a clear mission: to build adaptable and accessible AI systems that operate natively at a global scale. Today, the company's consumer-end products support 125 million people across 157 countries in 23 global languages.

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Automated agents now handle the diagnostics, reducing developer troubleshooting overhead to zero.
Cut incident diagnostics from 40 minutes to under 1 minute
Its consumer-end products are used by 125 million people across 157 countries in 23 languages.
Maintained flawless execution during sudden 8x operational traffic spikes through Cloud Run

Reported impact

Business outcome

Cut incident diagnostics from 40 minutes to under 1 minute Sped up AI agent integration from 8 weeks to under 12 hours with Gemini models

  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

Riafy Technologies uses Google Cloud and Gemini to scale R10 to 1T+ tokens, fixing AI inconsistencies and fast-tracking integration. Riafy Technologies began its journey with a clear mission: to build adaptable and accessible AI systems that operate natively at a global scale. Today, the company's consumer-end products support 125 million people across 157 countries in 23 global languages. However, as Riafy began expanding into enterprise-grade workflows with its R10 execution platform, which has deployed 120 AI agents across 7 diverse industries, the technical team ran directly into what they call the "outlier gap"-the steep operational divide between a controlled, friendly demo environment and the unpredictable reality of live production.

Solution architecture

5 components · 4 layers
  1. Compute
    • Cloud Run Runs serverless application services and APIs with automatic scaling for bursty workloads.
  2. Storage
    • Cloud SQL Stores transactional state and application data for the operational workflow at low latency.
  3. Orchestration
    • Gemini platform Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
    • Gemini Models Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  4. Governance
    • Google Cloud Armor Adds governance, security, and control to the production AI and data environment.

Architecture clues

  • The shift to Google Cloud has also radically transformed internal engineering velocity.

Evidence from the source

Cut incident diagnostics from 40 minutes to under 1 minute
Maintained flawless execution during sudden 8x operational traffic spikes through Cloud Run
Processed over 1 trillion tokens in live production environments using Gemini platform
Riafy Technologies began its journey with a clear mission: to build adaptable and accessible AI systems that operate natively at a global scale. Today, the company's consumer-end products support 125 million people acros
Sped up AI agent integration from 8 weeks to under 12 hours with Gemini models
Transparency Evidence & methodology 90/100 reference value · 77% 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 value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    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
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • 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 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

    Riafy Technologies customer story

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

  • 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, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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