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EXSTRONIX

AI Solutions

AI Platforms

Shared infrastructure so every team ships AI on the same rails.

The context

When AI moves past the first few use cases, teams need shared services rather than repeated setup. We build internal AI platforms — retrieval, orchestration, evaluation, governance and observability offered as capabilities that product teams consume, with the platform team retaining control of cost, security and reliability.

Where this usually starts

  • Every project rebuilds retrieval, prompt management and logging from zero.
  • There is no consistent way to evaluate or compare systems across teams.
  • Platform, security and product teams disagree on who owns AI reliability.

Capabilities

What we deliver

The specific capabilities we bring to this work, scoped to what your organisation actually needs.

Retrieval as a service

Shared ingestion, chunking, embedding and permission-aware retrieval across content sources.

Orchestration services

Reusable workflow, tool-calling and state management primitives for agentic systems.

Prompt and configuration management

Versioned prompts and settings with promotion across environments and rollback.

Evaluation platform

Shared datasets, scoring and dashboards so quality is comparable between applications.

Observability and tracing

End-to-end traces across retrieval, model calls and tool execution with cost and latency attribution.

Self-service with guardrails

Golden paths that make the compliant approach the easiest one for product teams to take.

Outcomes

What changes

  • Shorter time from idea to a governed, production AI capability.
  • Consistent security, logging and evaluation across all AI applications.
  • A platform team able to support AI systems the way they support other infrastructure.

Outcomes depend on scope, data readiness and the operating context of each engagement. We agree measurable success criteria with you before delivery begins.

Technologies

Platforms and technologies we work with

Listed as technologies EXSTRONIX works with. They are not statements of formal partnership or certification.

KubernetesTerraformVector databasesLangGraphMCPAI observabilityAWSAzureGoogle Cloud

Ready to transform what’s next?

Tell us about the business challenge you are working on. We will bring the right mix of AI, engineering, finance and operations expertise to the conversation.