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xCtra—ex cetera/ɛx ˈsɛt(ə)rə/adverb

GenAI solutions

Sovereign Knowledge Agent

Intelligent automation for enterprises across the GCC.

We build high-reasoning agents on Amazon Bedrock AgentCore with Anthropic Claude, and use Amazon S3 Vectors to give them a large, cost-effective knowledge base, with strict data sovereignty and governance.

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Capabilities

Amazon Bedrock & Anthropic Claude

High-reasoning agents built on Amazon Bedrock AgentCore with Anthropic Claude models.

Large-scale knowledge with S3 Vectors

Retrieval-augmented generation (RAG) on Amazon S3 Vectors, without running a separate vector database.

Regional compliance & guardrails

Bedrock Guardrails and governance controls, designed to keep your data in the AWS Region you choose.

Serverless & cost-aware

Pay-per-use storage and compute, with no always-on clusters to size and manage.

Hybrid reasoning

Routine requests use fast standard responses; deeper reasoning is switched on only for complex analysis.

Enterprise integration

Connects to your document repositories, CRM and business systems through a secure VPC.

The Agentic Enterprise Stack

Four layers, all running inside a secure VPC.

  1. Orchestration layer

    • Amazon Bedrock AgentCore
    • Anthropic Claude
    • Bedrock Guardrails
  2. Knowledge layer

    • Amazon S3
    • S3 Vectors for RAG
  3. Action layer

    • Business logic
    • API integration via secure VPC
  4. Enterprise data & systems

    • Document repositories
    • CRM
    • AWS business logic
  5. xCtra secure VPC

AI Cost Efficiency (FinOps)

We optimize both storage and compute, so enterprise AI stays affordable as it grows.

Storage

S3 Vectors instead of an always-on vector database

  • Pay per use for storage and requests, with no cluster running around the clock.
  • A much lower entry cost for RAG, so you can start small and grow.

Compute

Reasoning only when it's needed

  • Standard mode for routine tasks keeps cost and latency low.
  • Extended reasoning for complex analysis, switched on by the agent's own logic, so simple tasks don't pay a "reasoning tax".

Why a Sovereign Knowledge Agent?

Data sovereignty

Built for regional compliance requirements, including data-residency needs of enterprises across the GCC.

Scale without the overhead

Grow your knowledge base without the infrastructure work of a traditional vector database.

Lower running cost

Optimized storage and compute, so you pay for what the agent actually does.

Enterprise ready

Guardrails, security controls and integration with the systems you already run.

Talk to us about your AI project

See how a Sovereign Knowledge Agent could work with your data, or explore our wider cloud and AI services.

Request a consultation