Quality strategy must change in the AI era.

Synetics is a quality specialist that designs AI service validation and AI-powered quality automation together.

We help customers connect AI to business faster and more safely with an executable quality operating model.

Brand Direction

Two directions of AI quality strategy

We address both the quality of AI services themselves and the way AI upgrades quality execution.

What is being qualified

We design quality systems and validation criteria so that AI services remain trustworthy and stable.

We define requirements and validation scope for AICC, RAG, and AI-based software services.

We build quality criteria that include accuracy, repeatability, safety, and security.

We design executable validation structures across planning, development, and operations.

How quality is executed

We use AI to make testing, review, analysis, and quality operations faster and more precise.

We establish AI-assisted test automation and code review practices.

We design automation pipelines connected to static analysis, quality gates, and CI/CT.

We help organizations reduce repetition and improve the speed of quality execution.

What We Do

We connect consulting, solutions, and training so customer teams can operate quality standards in daily engineering work.

We design requirements, validation criteria, and operational quality systems for AI services.

We improve the speed and precision of test automation, code review, and analysis pipelines with AI.

We design and build AX services that connect enterprise AI platforms, internal data, and real workflows.

We build RAG, AICC, AI code review, and other AI services around each enterprise environment.

Offerings

Synetics does not stop at proposing a quality strategy.

We connect process design, validation tooling, operating model adoption, and training into one flow.

AI quality consulting and operating model design

AI quality solutions including AICC automation, AI code review, and closed-network RAG

Operating models that connect DevSafetyOps, CI/CT, and reproducible build and test environments

Enablement and education so organizations can operate the model on their own