Quality engineering
Prove that software, agents and AI-enabled workflows behave as intended—with meaningful tests and traceable evidence.
About Shyena
Built to make AI quality measurable—not just chatbot conversations.
Shyena is an engineering team combining quality engineering, AI agent assurance and AIOps to solve Agentic SDLC challenges. We connect the people, systems, tools and infrastructure businesses need for reliable AI-enabled software delivery—with practical integration, measurable evidence and production feedback.
Who we are
Quality engineering, AI agent engineering and AIOps—working as one team.
Shyena brings together quality engineering specialists, AI and agentic-system engineers, and AIOps and infrastructure expertise to solve the engineering problems businesses face as they adopt agentic software development lifecycles. We connect the people, tools, controls and infrastructure needed to move from experimentation to reliable delivery.
AI agent engineering
Connect planning, coding agents, tools, evaluations, security controls and release decisions into a governed lifecycle.
AIOps and infrastructure
Bring observability, runtime signals, operations and delivery infrastructure into the same engineering feedback loop.
How we work
One business. One problem. Brick by brick.
We start with a real business problem, understand the workflow and constraints, and then build the smallest useful piece of the solution. We prove it works, learn from the result and extend it step by step. No big-bang transformation and no unnecessary platform replacement.
We combine engineering expertise with the infrastructure and controls needed to make solutions reliable in practice—not just impressive in a demo.
Your environment, your choice
Fit the solution to your infrastructure.
We work with your existing tools, technology stack, integrations and legacy systems, combining them with Shyena capabilities where they add value. Choose the operating model that fits your needs:
Extend what you have
Integrate with your existing tools, platforms, APIs, legacy systems and delivery workflows.
Run in your infrastructure
Build and integrate within your own cloud, network, security boundaries and operational controls.
Start greenfield
Design a new environment and workflow where there is no suitable existing foundation.
How Shyena works
AI reasons. Deterministic controls verify. Evidence proves.
Understand
Map the system, journeys, tools, dependencies and business context.
Evaluate
Combine deterministic, semantic, trajectory and security evaluation.
Govern
Connect findings and evidence to release policy and governance needs.
Build evidence into the AI lifecycle.
Bring us one concrete engineering problem. We will work with your team and environment to solve it step by step—from the first integration to a working, supportable solution.