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AWS Software / SaaS Ukraine

Universe Group

Application Refactoring

Universe Group is a Ukrainian company that drives the growth of global IT ventures. Over the years, it has successfully launched three thriving businesses—Guru Apps, FORMA, and Wisey—while also expanding its research and development center.

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Processing times have improved by 82.5 percent: Nine realistic user photos now take 7 minutes compared with the previous 40 minutes.
The company has also reduced the time to generate a 15-second video by 75 percent, from 20 to 5 minutes.
Today, nearly 151 million people in 180 countries rely on the company's innovative products.
Visify has also processed over 600,000 unique AI-generated photos and videos, using up to 3.5 TB of GPU memory at peak performance.

Reported impact

Business outcome

Universe Group is a Ukrainian company that drives the growth of global IT ventures. Over the years, it has successfully launched three thriving businesses—Guru Apps, FORMA, and Wisey—while also expanding its research and development center.

  • Productivity Improvement
  • Scalability
  • Speed to Market

Solution

Universe Group is a Ukrainian company that drives the growth of global IT ventures. Over the years, it has successfully launched three thriving businesses—Guru Apps, FORMA, and Wisey—while also expanding its research and development center. Today, nearly 151 million people in 180 countries rely on the company's innovative products. The company's latest venture, Visify, showcases how Amazon Web Services (AWS) can power sophisticated photo- and video-editing capabilities at scale. Using Amazon SageMaker —a service used to build, train, and deploy machine learning (ML) models—Universe Group transformed Visify from a simple photo-enhancement tool into a robust solution that is powered by artificial intelligence (AI).

Data flow

Launching Advanced AI Photo and Video Processing Launched in 2023, Visify is a mobile app that uses AI to edit photos and create personalized videos. To accommodate user demand, Universe Group needed to scale this photo- and video-processing infrastructure while maintaining rapid delivery and high-quality outputs. Visify has also processed over 600,000 unique AI-generated photos and videos, using up to 3.5 TB of GPU memory at peak performance.

Solution architecture

1 components · 1 layer
  1. Compute
    • Amazon SageMaker Builds, trains, or deploys the machine learning models behind the modernized application workflows.

Architecture clues

  • Visify has also processed over 600,000 unique AI-generated photos and videos, using up to 3.5 TB of GPU memory at peak performance.

Evidence from the source

"We were especially attracted to generative AI." Achieving Breakthrough Performance Using Amazon SageMaker Visify uses Amazon SageMaker to deploy and manage 250 ML endpoints.
Launching Advanced AI Photo and Video Processing Launched in 2023, Visify is a mobile app that uses AI to edit photos and create personalized videos.
The company's latest venture, Visify, showcases how Amazon Web Services (AWS) can power sophisticated photo- and video-editing capabilities at scale.
Today, nearly 151 million people in 180 countries rely on the company's innovative products.
Universe Group found the ideal foundation for Visify when its team attended an Amazon SageMaker presentation for AWS customers.
Using Amazon SageMaker —a service used to build, train, and deploy machine learning (ML) models—Universe Group transformed Visify from a simple photo-enhancement tool into a robust solution that is powered by artificial intelligence (AI).
Transparency Evidence & methodology 86/100 reference value · 87% 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 value86/100
  • 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
    3 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • 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
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • 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. AWS

    Universe Group customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/universe-group/
    Source type
    Vendor-published customer story
    Published
    Mar 4, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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