Sovereign AI. Locally Orchestrated.
Promethean unifies Horizon OS and modular edge hardware to run existing models privately, off the cloud. Deploy institutional-grade inference infrastructure within your perimeter—no hyperscaler dependencies, no data egress, no compromise.
The Sovereignty Challenge
Enterprise AI adoption faces three fundamental constraints that erode strategic autonomy and increase operational risk. Hyperscaler dependency creates vendor lock-in whilst exposing sensitive workloads to third-party infrastructure. The economics of cloud inference become prohibitive at scale, whilst latency requirements for real-time applications exceed cloud-first architectures' capabilities.
Cloud Lock-In
Enterprise AI spend dominated by hyperscalers; sovereignty and strategic flexibility eroded by vendor dependencies
Data Sovereignty Risk
Regulatory exposure increases as sensitive workloads traverse third-party infrastructure outside jurisdictional control
Cost & Latency
Cloud inference economics degrade rapidly at production scale; latency requirements exceed distributed cloud capabilities
The Promethean Solution
Horizon OS + Edge Stack
Promethean orchestrates existing foundation models—Llama, Mistral, Falcon, and commercially licensed alternatives—within your infrastructure perimeter. Your proprietary data never leaves your network boundary. Deploy institutional-grade inference capabilities without hyperscaler dependencies or data sovereignty compromises.
The architecture comprises three integrated components: Horizon OS provides orchestration, retrieval-augmented generation, and agent routing; modular edge hardware scales from entry nodes to high-density rack configurations; and Cloud Control delivers telemetry and management without raw data egress.
Core Components
  • Horizon OS: Local orchestration kernel with RAG context vault and intelligent agent routing
  • Edge Hardware: Reforge Mini, Edge Lite, and Forge Pro nodes—stackable configurations up to 8+ units, optimised for low-power operation
  • SaaS Cloud Control: Telemetry dashboards and update distribution with zero raw data transmission
How Promethean Works
Deployment follows a four-stage integration pattern designed for institutional environments. Each stage maintains strict data locality whilst building towards full local inference capabilities. The process typically completes within 48-72 hours for standard configurations.
Deploy Horizon OS
Install orchestration layer on Promethean node or approved hardware specification; configure network policies and security boundaries
Connect Data Sources
Establish connections to private repositories; generate local embeddings within context vault; maintain complete data residency
Select Models
Choose foundation models for deployment; execute inference locally; optionally distribute workload across LAN mesh
Monitor & Optimize
Track performance via Horizon Cloud Control; analyse usage patterns; maintain audit trails—metadata only, never raw inference data
Product Tiers & Indicative Pricing
Promethean's modular architecture scales from small-office deployments to high-density enterprise installations. Pricing reflects prototype hardware specifications and will be optimised as bill-of-materials matures through production engineering. All configurations include 12 months of Basic tier Cloud Control.
Reforge Mini
Entry orchestrator for SME and home-office environments. Single-node configuration suitable for moderate inference workloads and development environments.
  • 8–16GB unified memory
  • Up to 4 concurrent model instances
  • Desktop form factor, passive cooling
Edge Lite
SME and departmental orchestrator with mesh capability. Suitable for production workloads requiring higher throughput and redundancy options.
  • 32–64GB unified memory
  • Mesh clustering up to 4 nodes
  • 1U rack-mount or tower configuration
Forge Pro
High-density rack unit for enterprise and industrial deployments. Maximum inference throughput with full mesh coordination across distributed facilities.
  • 128–256GB ECC memory
  • Mesh clustering 8+ nodes
  • 4U rack-mount, redundant power
Horizon Cloud Control SaaS Tiers
Basic
Per node
  • Core telemetry dashboards
  • Automated updates
  • Email support
Professional
Per node
  • Advanced analytics
  • Multi-node orchestration
  • Priority support
  • Custom integrations
Enterprise
Per node
  • Dedicated success manager
  • SLA guarantees
  • On-site support options
  • Custom compliance modules

Note: Indicative prototype pricing, subject to bill-of-materials optimisation through production engineering phases. Enterprise volume licensing available.
Key Capabilities
Horizon OS delivers enterprise-grade orchestration capabilities designed for institutional deployment requirements. Each capability maintains strict data locality whilst providing the flexibility and performance characteristics demanded by production AI workloads.
Local RAG & Context Vault
Proprietary retrieval-augmented generation with encrypted vector storage. Build domain-specific context without cloud dependencies.
Multi-Model Orchestration
Run multiple foundation models simultaneously. Route queries intelligently based on task requirements and model capabilities.
Air-Gap Operation
Complete offline capability for classified and high-security environments. No external connectivity required for inference operations.
Mesh Scaling
Distribute workloads across up to 8+ nodes within your LAN. Automatic failover and load balancing without centralised coordination.
Policy & Audit Trails
Granular role-based access control with immutable audit logging. Meet regulatory requirements without compromising performance.
API & SDK for Agents
OpenAI-compatible REST API plus native SDKs for Python, TypeScript, and Go. Integrate with existing workflows seamlessly.
Architecture Overview
Promethean's architecture separates model execution, orchestration, and management into distinct layers whilst maintaining strict data locality. This separation enables cloud-based operational tooling without compromising data sovereignty—only metadata and telemetry traverse the perimeter boundary.
01
Model Layer
Foundation models from Llama, Mistral, Falcon, and commercial providers—deployed within your infrastructure perimeter
02
Context Layer
Local embeddings database with RAG pipeline—proprietary data never leaves network boundary
03
Horizon Orchestrator
Intelligent routing engine distributing inference tasks across available compute resources
04
Mesh Coordination
LAN cluster management with optional federation for multi-site deployments
05
Cloud Control (SaaS)
Telemetry dashboards and update distribution—metadata only, zero raw data egress
"LLM power without central clouds—data sovereignty without capability compromise."
Security & Sovereignty by Design
Promethean implements zero-trust security architecture from silicon to orchestration layer. Every component assumes breach and operates under continuous verification principles. Hardware attestation validates system integrity at boot; encrypted volumes protect data at rest; and role-based policies enforce least-privilege access.
For defence, intelligence, and regulated industry deployments, Promethean supports complete air-gapped operation. Inference workloads execute entirely within classified networks with no external connectivity requirements. Local audit logs provide forensic-grade evidence chains for compliance and incident response.
Zero-Trust Posture
No raw inference data or proprietary context leaves your LAN boundary. Cloud Control receives only anonymised telemetry and performance metadata.
Hardware Attestation
Cryptographic verification of firmware and boot integrity. Encrypted volumes with hardware-backed key management.
Role-Based Policies
Granular access controls with mandatory separation of duties. Immutable audit trails for all administrative and inference operations.
Air-Gap Capability
Complete offline operation mode for classified and high-security environments. No external connectivity required for any inference function.
Use Cases Across Sectors
Promethean's architecture addresses sovereignty and performance requirements across diverse institutional contexts. From regulated financial services to classified defence networks, local orchestration enables AI adoption without compromising security posture or regulatory compliance.
SME Operational Copilots
Deploy finance, operations, and HR assistants within GDPR boundaries. Process sensitive employee and customer data without cloud exposure.
Defence Command & Control
Maintain AI-assisted decision support during communications disruption. Resilient orchestration for tactical edge environments.
Federated Research Clusters
Enable multi-institution compute sharing without data exchange. Preserve intellectual property whilst collaborating on foundation model fine-tuning.
Smart City Infrastructure
Real-time traffic flow optimisation and energy grid management at municipal edge. Low-latency inference without cloud round-trip delays.
Healthcare On-Premises Inference
Clinical decision support within hospital network boundaries. Meet NHS Digital and HIPAA requirements whilst leveraging latest foundation models.
Development Roadmap & Next Steps
Promethean's phased development strategy balances immediate market deployment with long-term capability expansion. The roadmap prioritises core orchestration functionality whilst building towards advanced features including federated compute markets and dual-use certifications.
1
MVP Phase (Months 0–6)
Local orchestration kernel with single-node deployment. Cloud Control SaaS dashboard for basic telemetry and updates.
2
Year 2 Expansion
Edge Lite hardware prototypes enter production. Promethean Compute Collective beta launches with opt-in sharing protocols.
3
Years 3–4 Scale
Forge Pro high-density units available. Compute Token (PCT) pilot programme. Multi-sector enterprise rollouts commence.
4
Year 5 Maturity
Dual-use certifications achieved. Global ecosystem partnerships established. Full sovereign AI stack across all deployment contexts.
Ready to Deploy Sovereign AI?
Join institutional partners piloting Promethean infrastructure. Request access to technical specifications, reference architectures, and early deployment programmes. Our team provides comprehensive support from proof-of-concept through production rollout.
Compliance & Certifications: GDPR and UK DPA alignment maintained throughout development. EU AI Act readiness integrated into product design. ISO 27001 certification targeted for Year 2. Export control and supply chain security protocols active for dual-use components.
Frequently Asked Questions
Do we need to train models?
No. Promethean orchestrates existing foundation models—Llama, Mistral, Falcon, and commercially licensed alternatives. You deploy pre-trained models within your infrastructure.
Can this run fully offline?
Yes. Complete air-gapped operation is supported. Cloud Control handles only metadata and telemetry—never raw inference data. Offline mode suitable for classified environments.
Is tokenisation required?
No. The Promethean Compute Token (PCT) is optional and phased for Year 3+. Core orchestration functionality operates independently of any token mechanism.
Can we use existing hardware?
Approved server specifications are supported. However, optimal performance, power efficiency, and hardware attestation features require Promethean-designed nodes.

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