XTECHSTACKS SERVICES

AI Platform Engineering & LLMOps Services

Build and operate enterprise AI platforms with model access, retrieval, agent tools, evaluation, observability and controlled production releases.

Move from a working prototype to a platform your teams can maintain. We help design the shared capabilities around models, applications and agents so that delivery and operations have clear boundaries.

The challenge

Production failures often sit between the model and the business system. Credentials expire, documents change, retries duplicate actions and plausible answers hide incomplete work. The platform must expose these conditions and support safe recovery.

What we help you design and deliver

Model gateway, retrieval and agent-tool architecture
Identity, authorization and credential boundaries
Evaluation datasets, release gates and rollback design
MLOps or LLMOps workflows with tracing and operational ownership

Start with the right questions

What business state proves successful completion?
Which actions need human approval?
How will provider failures and uncertain tool results be handled?

How we assess progress

Measure verified outcome success, latency, operating cost, human rework and recovery time. Start with one bounded workflow and validate failure cases before broadening autonomy.

A practical engagement

We begin with your goals, current architecture and constraints. Together we define a bounded scope, review the available evidence, design the target approach and agree the next implementation steps. Remote collaboration supports architecture reviews and engineering discussions.

Related engineering insights

Explore related capabilities

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