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AWS Software / SaaS United States

Exists

Creating high-quality, complex 3D games requires a significant investment of time, expertise, and resources. Exists wants to ease the creative path for both seasoned game developers and aspiring creators who have great ideas but little technical experience.

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4,500 users in the test community with hundreds of active users
5 minutes or less to create a 3D video game
5 years
less than 5 minutes

Reported impact

Business outcome

The company started closed beta testing in September 2024. The beta solution has 4,500 users in its test community and hundreds of active users who can bring their gaming concepts to life. Exists continues to scale its cloud infrastructure to prepare for an open beta launch.

  • Productivity Improvement
  • Scalability
  • Speed to Market

Solution

Creating high-quality, complex 3D games requires a significant investment of time, expertise, and resources. Exists wants to ease the creative path for both seasoned game developers and aspiring creators who have great ideas but little technical experience. Learn how Exists in the gaming industry is building an AI-powered solution on AWS that can use natural language text prompts to create 3D games in minutes. Key services included Amazon Bedrock hosts the foundation models and generative ai application logic; Amazon SageMaker supports model training, tuning, deployment, or managed ml inference; Amazon Elastic Compute Cloud provides scalable compute capacity for application services or ai workloads; Amazon S3 stores documents, media, telemetry, or training data durably at scale; Amazon GameLift supports scalable game-session infrastructure for interactive experiences. Data is stored in Amazon S3 and processed by Amazon Bedrock, Amazon SageMaker.

Data flow

Data is stored in Amazon S3 and processed by Amazon Bedrock, Amazon SageMaker.

Solution architecture

5 components · 3 layers
  1. Compute
    • Amazon Bedrock Hosts the foundation models and generative AI application logic.
    • Amazon SageMaker Supports model training, tuning, deployment, or managed ML inference.
    • Amazon Elastic Compute Cloud Provides scalable compute capacity for application services or AI workloads.
  2. Storage
    • Amazon S3 Stores documents, media, telemetry, or training data durably at scale.
  3. Serving
    • Amazon GameLift Supports scalable game-session infrastructure for interactive experiences.

Architecture clues

  • Exists also uses Amazon Route 53 —a reliable and cost-effective way to route end users to internet applications—to route game creators across regions to its solution.
  • For instance, the backend technology needed to automate this process involves multiple servers and terabytes of storage that must be globally readily available upon request.

Evidence from the source

Creating high-quality, complex 3D games requires a significant investment of time, expertise, and resources.
Exists has combined novel AI research with a cloud-backed interface to build a solution that will help users create high-end interactive experiences.
Exists wants to ease the creative path for both seasoned game developers and aspiring creators who have great ideas but little technical experience.
Exists’ generative AI solution transforms these prompts into playable elements and complex environments.
Game creators—whether newbies or experts—can create a game with Exists by entering text prompts.
Since March 2023, the company has been creating its unique text-to-game platform, a potential accelerator in the gaming industry.
Transparency Evidence & methodology 91/100 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 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
    2 metrics describe measurable impact.
  • Deployment scale10/10
    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

    Exists customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/exists-case-study/
    Source type
    Vendor-published customer story
    Published
    Nov 19, 2024
    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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