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Solutions — AI Data Lakes

Data at rest.Intelligence in motion.

Unified architecture for massive data ingestion, sovereign long-term storage, and AI-driven enterprise analytics

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SOLUTION OVERVIEW

A reference architecture.
Not a point solution.

FULL-STACK BLUEPRINT

Planck Red's AI Data Lake architecture is a unified platform for massive data ingestion, storage, and AI-driven analytics. It is engineered to transform raw, high-volume enterprise data into a governed, queryable intelligence asset — without sacrificing sovereignty, security, or sustainability. This is the architecture for enterprises that want to build lasting intelligence platforms, not short-lived analytics projects.

REFERENCE ARCHITECTURE

How the layerscompose into a system.

Each layer is independently deployable and interoperates through Quanta Cloud orchestration. Together they form a complete, production-ready architecture — not a collection of disconnected products.

ARCHITECTURE STACK — TOP TO BOTTOM
LAYER 01 — DATA INGESTION
Sources & Streaming Pipelines
Enterprise Application DataIoT & Sensor StreamsTransaction & Event LogsExternal Data & APIs

High-throughput data ingestion from enterprise systems, real-time event streams, transactional databases, and external sources — flowing into a governed, schema-flexible data lake architecture.

LAYER 02 — COMPUTE & ANALYTICS
Q10 + vSense AI
High-Performance Data ProcessingAI Model Training & InferencevSense AI Analytics EngineReal-Time & Batch Workloads

Q10 provides the compute substrate for data processing, AI training, and large-scale analytics workloads. vSense AI adds the intelligence layer — turning processed data into operational and predictive insights.

LAYER 03 — SOVEREIGN STORAGE & GOVERNANCE
SwissVault + Quanta Cloud
SwissVault Long-Term RetentionData Catalogue & LineageQuanta Cloud Governance EngineAccess Control & Compliance

SwissVault stores the data lake's long-tail data with maximum longevity and minimal power consumption. Quanta Cloud governs the full data lifecycle — access control, retention policies, compliance reporting, and cross-DC data movement.

COMPOSITION PRINCIPLE

Planck Red solutions are not assembled from off-the-shelf parts. Each layer is purpose-built and pre-integrated — reducing deployment complexity and eliminating the integration risk that breaks most enterprise infrastructure projects.

DEPLOYMENT MODEL

Deploy the full stack, or start with a single layer and extend. Quanta Cloud ensures all components remain orchestrated and visible regardless of how many layers are active.

PARTNER INTEGRATION

FireBreak, SwissVault, and vSense AI are embedded at the architecture level — not bolted on. They participate in the orchestration fabric and are managed through Quanta Cloud alongside infrastructure components.

BUSINESS VALUE

Measurable outcomes,not architectural promises.

Centralised Intelligence

One governed platform for all enterprise data — eliminating data silos, reducing integration complexity, and enabling cross-domain AI analytics.

Faster Insights

High-performance Q10 compute and vSense AI analytics accelerate time-to-insight from weeks to real-time for critical business decisions.

Scalable Analytics Pipelines

The architecture scales horizontally with data volume — adding Q10 compute and SwissVault storage as the lake grows without re-platforming.

Secure & Sustainable Operations

Sovereign data storage, immutable retention, and AI-driven energy efficiency ensure the platform is compliant, trustworthy, and cost-efficient at scale.

APPLICABLE USE CASES

Where this architecture applies.

Enterprise AI & Machine Learning Platforms
Financial Risk & Fraud Analytics
Healthcare Genomics & Clinical Data Lakes
Smart City Data Intelligence Platforms
Industrial IoT Analytics & Digital Twins
NEXT STEP

Ready to deploythis architecture?

Planck Red's solutions are deployable reference architectures — not consulting engagements. Our team works with you to adapt and activate the stack for your specific context and scale.