What is the Sovereign AI Platform?
The Sovereign AI Platform combines Runtime + Factory to ship governed AI apps on your infrastructure. The Runtime layer handles on-prem LLM orchestration, security, and governance. The Factory layer provides templates, workflows, and app scaffolding with governance-by-default. Zero data egress, fully air-gapped capable.
One platform. Governed AI apps.
Part of our Sovereign AI Platforms practice. Sovereign AI Platform = Runtime + Factory. On-prem LLMs aren't a separate product — they're the substrate that makes the App Factory possible.
- Runtime
- On-prem LLM orchestration, policy, audit, evaluation
- Factory
- Templates, scaffolding, release pipeline, app catalog
- MCP
- Three sovereign services: audio, vision and document RAG
How the factory composes agents
Runtime services, governance, and MCP primitives wired into one control plane.
The MCP menu
Audio, vision and document processing that runs inside your boundary. Entries below are the services we ship plus the runtime components they compose with.
Enfuse Cloud Services
Sovereign media suite: VoxSovereign (TTS/STT), Panopticon (Vision), DocuFlow (RAG) - all on-prem.
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Panopticon Vision
Local computer vision with Qwen-VL. Analyze images, detect objects, OCR documents - data never leaves.
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VoxSovereign Audio
Enterprise TTS & transcription with Fish Audio and Whisper. Clone voices, transcribe meetings locally.
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Cloudberry Data
Petabyte-scale analytics with pgvector. Store embeddings, transcripts, and media for semantic search.
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DocuFlow RAG
Parse complex PDFs with tables and formatting. Chunk, vectorize, and query with Unstructured.io.
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Model Gateway
Route to Gemini, GPT-4, Claude, or local Llama/Mistral. One config, any model, full sovereignty.
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KubeMaster Ops
AI-managed K8s: list pods, get logs, restart services. Your AI controls its own infrastructure.
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GitOps Sentinel
Connect to GitLab/GitHub Enterprise. AI commits code, creates branches, opens PRs automatically.
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HiveMind RL Swarm
Distributed reinforcement learning with Ray RLlib. Simulate millions of scenarios, optimize supply chains, train autonomous agents.
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IronLink Mainframe
Bridge 40-year-old core banking ledgers to AI agents. Query CICS, parse COBOL copybooks, check batch jobs—no migration required.
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Centurion Concierge
The AI that can actually get you a table at Carbone. Deep GDS flight search, Resy integration, lounge capacity checks.
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Redact Guard PII
The AI never sees raw data—only tokens. PCI-DSS compliant anonymization with immutable audit trails for regulators.
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Risk Sentinel
Dynamic credit decisions powered by agentic reasoning. Analyze spending patterns, simulate transactions, flag fraud in real-time.
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What the platform ships with
Everything you need to accelerate application development and delivery.
Application Templates
Pre-built scaffolding for common application patterns
- React/Next.js frontends
- Node.js/Python APIs
- Microservices templates
- Event-driven architectures
CI/CD Pipelines
Automated build, test, and deployment workflows
- GitOps-native deployments
- Multi-stage pipelines
- Automated testing gates
- Rollback automation
Security & Compliance
Built-in security scanning and policy enforcement
- SAST/DAST integration
- Container scanning
- Policy-as-code
- Audit logging
Observability Stack
Full-stack monitoring and alerting out of the box
- Distributed tracing
- Log aggregation
- Custom dashboards
- SLO management
Data Services
Managed database and caching solutions
- PostgreSQL/MySQL
- Redis caching
- Message queues
- Object storage
Platform APIs
Self-service APIs for developer productivity
- Environment provisioning
- Secret management
- Feature flags
- A/B testing
Developer experience first
Streamlined workflows that let developers focus on building, not configuring.
Self-Service Environments
Spin up complete dev/staging environments in minutes with one-click provisioning.
Integrated Developer Portal
Centralized hub for docs, APIs, templates, and team collaboration.
Golden Paths
Opinionated defaults and best practices that teams can extend when needed.
Inner Source & Reuse
Discover and leverage shared components, libraries, and patterns across teams.
The complete agent system — not just the model — inside your environment.
Enfuse designs and deploys multi-agent systems on customer-controlled infrastructure. We bring together local model serving, workflow orchestration, enterprise data, tool integrations, identity, monitoring, and operational support so AI can work within the organization's required security and connectivity boundaries.
Local models and inference
Model selection, hardware sizing, inference serving, concurrency, GPU allocation, and performance testing — using suitably licensed open-weight models and serving technologies such as vLLM where they fit.
Local orchestration and workflow state
Agent execution, task queues, workflow state, checkpoints, approvals, and recovery run inside your environment. Coordination between agents and internal systems is defined and controlled, not an open-ended swarm.
Private knowledge and enterprise tools
Local document processing, embeddings, search, approved databases, and internal APIs. A disconnected system can only use data and tools available locally or brought in through approved transfer processes.
Identity, security, and governance
Integration with your supported identity infrastructure, role-based permissions, secrets management, network segmentation, restricted tool execution, and audit logging. Sensitive actions are authorized by the application and infrastructure — never by agent-generated text.
Monitoring and evaluation
Dashboards, traces, performance measurements, quality evaluations, and audit records that stay within the selected environment, with access and retention controls — because logs can contain sensitive information too.
Disconnected deployment and lifecycle
A genuinely disconnected deployment accounts for models, containers, packages, identity, certificates, licensing, telemetry, and updates — with approved artifact import, private registries, validated update packages, rollback, backup, recovery, and operator documentation.
Hybrid operation where permitted
Selected workloads may use cloud services when customer policy permits, while sensitive workloads stay local. Routing, data movement, and fallback behavior are explicit and controlled — there is no automatic cloud fallback for private workloads, and a hybrid system is not described as air-gapped.
Choose the deployment boundary that fits the operation. We engineer the system around it — from the models and agents to the data, controls, and ongoing lifecycle.
Ship governed AI apps on your infrastructure
Implementation + annual platform license + managed ops. Turn deployments into recurring revenue with the Sovereign AI Platform.