AWS Software / SaaS United States

GTxcel

Document Processing

In the digital age, it comes as no surprise that printed documents are steadily declining. Once the primary method of consuming content, many of us now favor the convenience of accessing a rich array of media from a single device over cumbersome volumes of books, magazines, journals, user manuals, training documents, and educational materials.

10 years
24 hours
50 percent
50% reduction in workflow times

Reported impact

Business outcome

Tools such as generative AI are opening the door to more verticals and marketing applications to further transform the way businesses produce, edit, publish, and monetize content. “We now have an endless ability to go after much larger scale opportunities,” says Stilson.

  • Scalability

Solution

In the digital age, it comes as no surprise that printed documents are steadily declining. Once the primary method of consuming content, many of us now favor the convenience of accessing a rich array of media from a single device over cumbersome volumes of books, magazines, journals, user manuals, training documents, and educational materials. GTxcel started working alongside AWS when they embarked on their cloud journey over 10 years ago. They have since implemented several services to spur on growth and reduce manual workflows by 50 percent. AWS introduced the business to Caylent, who integrated with the GTxcel team to define the project, simplify the milestones to success, and offer hands-on support. With their guidance, they have been able to automate the identification of content nuances, such as distinguishing advertisement images from regular images, and understanding which text is a heading or pull quote within articles.

Data flow

Data flows from Amazon Textract into Amazon S3, is processed by Amazon Bedrock, AWS Lambda, and is exchanged with Content Management System, CMS.

Solution architecture

4 components · 3 layers
  1. Ingest
    • Amazon Textract Extracts structured content from uploaded documents for downstream analysis.
  2. Compute
    • Amazon Bedrock Hosts the foundation models and generative AI application logic.
    • AWS Lambda Runs event-driven application logic and serverless processing tasks.
  3. Storage
    • Amazon S3 Stores documents, media, telemetry, or training data durably at scale.

Architecture clues

  • With AI, we can now do this in a matter of minutes.

Evidence from the source

Documents take many different forms, ranging from scientific publications to educational materials, and user manuals.
GTxcel started working alongside AWS when they embarked on their cloud journey over 10 years ago.
In the digital age, it comes as no surprise that printed documents are steadily declining.
Once the primary method of consuming content, many of us now favor the convenience of accessing a rich array of media from a single device over cumbersome volumes of books, magazines, journals, user manuals, training doc
They also contain diverse layouts and data that goes beyond simple text, like images, tables, and forms.
They have since implemented several services to spur on growth and reduce manual workflows by 50 percent.
Transparency Evidence & methodology 96/100 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 value96/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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

    GTxcel customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/gtxcel-case-study/
    Source type
    Vendor-published customer story
    Published
    Nov 24, 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.