Google Cloud Media and Entertainment Ukraine

HOLYWATER TECH

Marketing Personalization

HOLYWATER TECH wanted to produce long-form fantasy video content faster and more consistently, but traditional filming and fragmented AI tools made it hard to keep characters, settings, and sound synchronized across hundreds of scenes.

10x ARR growth for My Muse since implementing
10x more minutes of video generated per month
8x faster to produce video series with
91% audience completion rate on two-hour film with Veo

Reported impact

Business outcome

HOLYWATER TECH accelerated video-series production, proved that AI-generated long-form content could retain viewers, and opened a path toward interactive storytelling experiences.

  • Customer Experience
  • Revenue Growth
  • Speed to Market

Solution

HOLYWATER TECH uses Google Cloud to address this challenge: HOLYWATER TECH wanted to produce long-form fantasy video content faster and more consistently, but traditional filming and fragmented AI tools made it hard to keep characters, settings, and sound synchronized across hundreds of scenes. Gemini platform hosts the end-to-end production pipeline and the specialized agents that turn books into production bibles, serving as the serving layer. Imagen generates high-quality storyboards that preserve visual continuity during pre-production and shot iteration, serving as the compute layer. Veo turns storyboard references into final cinematic video with synchronized audio and realistic motion, serving as the compute layer. BigQuery stores product and audience-engagement data so the company can evaluate how AI-generated content performs, serving as the storage layer.

Data flow

Books are analyzed by Gemini-platform agents to create production bibles, Imagen generates consistent storyboards from that source of truth, Veo renders the final video output, and BigQuery tracks product and audience metrics to guide the next content iterations.

Solution architecture

5 components · 3 layers
  1. Compute
    • Imagen generates high-quality storyboards that preserve visual continuity during pre-production and shot iteration
    • Veo turns storyboard references into final cinematic video with synchronized audio and realistic motion
    • Gemini supports future interactive character chatbots and underpins the shared architecture behind the pipeline
  2. Storage
    • BigQuery stores product and audience-engagement data so the company can evaluate how AI-generated content performs
  3. Serving
    • Gemini platform hosts the end-to-end production pipeline and the specialized agents that turn books into production bibles

Architecture clues

  • Production bibles act as the canonical source of truth for characters, outfits, and locations
  • The next product step is Gemini-based character chatbots for interactive fan experiences
  • The two-hour film First Chosen by the Dragon reached a 91% completion rate

Evidence from the source

10x ARR growth for My Muse since implementing
10x more minutes of video generated per month
8x faster to produce video series with
91% audience completion rate on two-hour film with Veo
HOLYWATER TECH developed a full-cycle production pipeline using Gemini platform.
HOLYWATER TECH produces high-quality films eight times faster with Google Cloud, helping to drive 10x annual revenue growth for its My Muse streaming app.
Transparency Evidence & methodology 91/100 reference value · 82% confidence · 2 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 value91/100
  • 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 specificity16/20
    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 confidence82%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency9/10
    2 source references 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

    HOLYWATER TECH customer story

    First-party
    https://cloud.google.com/customers/holywater
    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. HOLYWATER TECH

    LLM-info

    First-party
    https://www.holywater.tech/llm-info

    The official page says 'HOLYWATER is a Ukraine-founded entertainment-tech company' and lists 'Founded: 2020, Ukraine'.

    Source type
    Official company website
    Supports
    • Region

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