Accelerate quality across your business with AI.

GTS is an AI-powered testing solution that speeds up test deliverables creation, reduces manual
effort, and ensures clear traceability in Jira across web and mobile projects.

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Current Development Challenges

Why is quality becoming a barrier to your growth?

Testing as a Bottleneck

QA activities start too late in the cycle, creating a bottleneck that delays every scheduled release and slows down the entire delivery pipeline.

Inconsistent QA Standards

Testing approaches vary across squads and external vendors. The lack of a unified methodology leads to fragmented quality and governance issues.

Fragmented Quality Data

Crucial quality metrics are scattered across isolated tools. Getting a holistic view of the project's health is manual, slow, and error-prone.

Traceability Gaps

Traceability is incomplete and hard to enforce. Linking requirements to tests and defects in Jira remains a manual process prone to data loss.

Rising Delivery Risk

As complexity grows with every release, the risk of critical defects leaking into production increases, threatening business continuity.

Reactive Quality Management

Teams end up fighting fires instead of actively planning, measuring, and managing quality as a strategic asset of the business.

Jira task

Modern development teams struggle with the same challenges:

Jira task

Modern development teams struggle with the same challenges:

Jira task

Modern development teams struggle with the same challenges:

Jira task

Modern development teams struggle with the same challenges:

Use case

Proven inreal-worldscenarios.

See how GTS transforms chaotic testing processes into predictable delivery machines across different project stages.

Runaway project

Saving a project at a critical stage with zero documentation and high risk of failure.

Without GTS With GTS
Without GTS (total MD)

485

With GTS (total MD)

340

Total MD savings

145

−30% of costs
Automatization

60%

100% stability

WITH GTS

  • Structured tests created directly from requirements
  • Full traceability restored in Jira

RESULT

  • 18 stable releases delivered
  • 240 defects detected before production
  • QA effort reduced to a single role

Greenfield project

New project with highquality expectations and limited QA capacity.

Without GTS With GTS
Without GTS (total MD)

229

With GTS (total MD)

164

Total MD savings

65

−28% of costs
Automatization

60%

100% stability

WITH GTS

  • Testing and test automation active from dayone
  • Unified QA standard established early

RESULT

  • 4 major and 4 minor releases delivered on time
  • Technical debt prevented instead of fixedlater
  • Scalable testing process embedded intodelivery
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to change the future automotive industry