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The Turnkey AI Brochure

A concise, two-spread overview of how Coral Data Center and Scignal deliver AI end to end, from sovereign infrastructure to production intelligence, under one accountable roadmap. It sets out the two-company, one-accountability model, the ten-layer AI stack, and the "embed and translate, deploy and deliver" operating model that connects forward-deployed engineering with domain strategy.

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PDF · 346 KB

Cover of the Scignal and Coral Data Center Turnkey AI brochure, reading "Every layer of AI. One accountable partner."

Intended audience

CIOs, CTOs, Chief Data Officers and Chief AI Officers evaluating a full-stack AI infrastructure and delivery partner; procurement and executive sponsors who need a concise document to circulate internally ahead of a first conversation; enterprise architects assessing how CoralDC and Scignal divide accountability across the stack.

What you will learn

  • How Coral Data Center's sovereign infrastructure (CoralDC Pods, immersion cooling, edge and on-premises deployment, private AI cloud) forms the foundation of the Turnkey AI model.
  • How Scignal's applied engineering, data pipelines, model serving, agents and applications, turns that infrastructure capacity into production systems.
  • The full ten-layer stack, from Sovereign AI Infrastructure through AI Applications, with representative technologies at each layer.
  • The operating model behind delivery: forward-deployed engineering embedded in the customer's environment, and domain strategy that translates institutional reality into precise engineering mandates.
  • What "one accountable partner" means in practice: one contract, one roadmap, one party accountable for the outcome.

The ten-layer stack, in brief

The brochure sets out the same ten-layer model this section documents in full. Every layer below links to its detail page, so the brochure is a summary of this content, not the only route to it.

  1. Layer 01: Sovereign AI Infrastructure

    CoralDC Pods, immersion cooling, edge and on-premises deployment, private AI cloud.

  2. Layer 02: Cloud-Native Infrastructure

    Kubernetes, containers and GPU orchestration.

  3. Layer 03: Model Serving and Inference

    Turning a trained model into a reliable, callable, cost-controlled production service.

  4. Layer 04: Data Engineering and Data Platforms

    Ingestion, transformation, quality, cataloguing and lineage at AI scale.

  5. Layer 05: Enterprise Knowledge and Vector Search

    Embeddings, hybrid search and access-governed indices models and agents can trust.

  6. Layer 06: MLOps, LLMOps and AI Governance

    Experiment tracking, registries, evaluation, observability and drift monitoring.

  7. Layer 07: AI Platforms and Orchestration

    Composing models, retrieval, tools and business logic into one coherent system.

  8. Layer 08: LLM Engineering and Evaluation

    Prompting discipline, retrieval-augmented generation, fine-tuning and evaluation.

  9. Layer 09: Agentic AI and Multi-Agent Systems

    Autonomy with guardrails: tool use, planning and permissioned action.

  10. Layer 10: AI Applications, Copilots and Digital Twins

    Copilots, automation, computer vision, enterprise search and digital twins.

Document details

  • File type: PDF
  • File size: 346 KB
  • Publisher: Coral Data Center and Scignal

The download is the source brochure, unaltered.

Download the Turnkey AI Brochure (PDF)

Related pages

Turnkey AI OverviewThe Ten-Layer AI StackModel Serving and InferenceData Engineering and Data PlatformsAgentic AI and Multi-Agent Systems

Last reviewed 23 August 2026

Next Step

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A Turnkey AI Briefing is a scoped conversation about your specific infrastructure and applied-AI requirements.

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