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Google Cloud Software / SaaS Israel

Mosaic AI

Document Processing · Enterprise Knowledge Search · Real-time Analytics

Mosaic AI, an Enterprise AI platform, unifies a company's fragmented knowledge and tech stack onto a single platform where companies can build AI Assistants, workflows, and analytics that boost employee output and drive consistently high quality experiences for customers.

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In fact, generative AI is becoming nearly ubiquitous; its market size is expected to show an annual growth rate of nearly 50% , resulting in a projected market volume of $356 billion by 2030.
Up to 75% increase in overall tickets handled
~20% reduction in internal tickets
~35%+ faster response time

Reported impact

Business outcome

Up to 75% increase in overall tickets handled; ~50%+ more support tickets resolved; ~35%+ faster response time; ~20% reduction in internal tickets.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth
  • Scalability

Solution

Mosaic AI leverages Google Cloud solutions and models, including Vertex AI and Gemini. Google Cloud provides an advanced, reliable infrastructure for Mosaic AI's complex backend operations and data needs. offers a generative AI platform designed to enhance customer self-service and employee efficiency. The platform integrates with 100+ enterprise systems. Once integrated, companies can build AI assistants on top of their data to power a wide range of workflows and use-cases across customer support, customer success, product, R&D, and sales. Building on Google Cloud's infrastructure and models like Gemini, Mosaic AI dramatically consolidates the tech stack, allowing businesses to make the most of their company knowledge and customer-facing response, implementing data-driven decisions in essential applications, using a single source of truth.

Data flow

processed with Vertex AI, and surfaced through Gemini

Solution architecture

2 components · 2 layers
  1. Compute
    • Vertex AI Hosts and orchestrates machine learning and generative AI capabilities inside the solution.
  2. Serving
    • Gemini Powers natural-language reasoning, summarization, generation, or assistance inside the workflow.

Architecture clues

  • "Vertex AI is critical for our ongoing development and operations, and Google's alignment with our central value of consolidation was also a major benefit."
  • Mosaic AI leverages Google Cloud solutions and models, including Vertex AI and Gemini. Google Cloud provides an advanced, reliable infrastructure for Mosaic AI's complex backend operations and data needs.
  • Vertex AI Gemini

Evidence from the source

In fact, generative AI is becoming nearly ubiquitous; its market size is expected to show an annual growth rate of nearly 50% , resulting in a projected market volume of $356 billion by 2030.
Up to 75% increase in overall tickets handled
~20% reduction in internal tickets
~35%+ faster response time
~50%+ more support tickets resolved
Transparency Evidence & methodology 85/100 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 value85/100
  • 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
    5 metrics describe measurable impact.
  • Deployment scale0/10
    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

    Mosaic AI customer story

    First-party
    https://cloud.google.com/customers/mosaic-ai
    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 Feb 14, 2026 · 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 Feb 2, 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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