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+# Nexus One AI - Enterprise Platform Datasheet
+
+## Customer edition
+
+Nexus One AI is a private enterprise AI platform deployed on customer-controlled
+infrastructure. It brings conversational AI, governed enterprise knowledge,
+document intelligence, prompt management, evaluation, automation, application
+development and operational controls into one managed platform.
+
+## Customer value
+
+- Keep prompts, documents, application data and AI workloads inside the approved customer boundary.
+- Standardize AI access through one identity, governance and operations model.
+- Turn enterprise content into cited, reviewable answers and reusable outputs.
+- Build agents, workflows and governed applications without creating isolated pilot stacks.
+- Operate AI with health monitoring, logs, audit, backup and lifecycle controls.
+- Support connected, restricted-network and air-gapped deployment patterns.
+
+## Reference architecture
+
+Users access a single TLS origin and authenticate through enterprise identity.
+The Nexus portal exposes AI workspaces and administration. A protected Core API
+applies policy, manages durable state and routes AI work. PostgreSQL with vector
+search stores authoritative platform data; RabbitMQ supports durable background
+work; MinIO stores governed objects and artifacts. Model execution is accessed
+through a logical gateway to an approved local or customer-selected compatible
+inference provider. Kubernetes isolates services, applications and extensions.
+Prometheus, Alertmanager, Grafana, Loki and Alloy provide operational visibility.
+
+## Capability domains
+
+### Work with AI
+
+- Enterprise AI Workspace
+- Prompt Studio and governed Prompt Library
+- Model comparison, evaluation suites, RAG quality and feedback review
+- Team Chat Rooms and Meeting Assistant
+
+### Enterprise knowledge and documents
+
+- Private-by-default Nexus Notebook collections
+- Evidence-grounded questions with citations
+- Document ingestion, extraction, indexing and governed outputs
+- Multi-format Document Compare
+- Document digitization with human review
+- Dataset creation and controlled model-training requests
+
+### Automate and build
+
+- Agent Studio
+- Workflow Designer
+- Schedules and durable run history
+- App Studio with isolated previews, review, publish and rollback
+- Application gateway and reusable template marketplace
+- Python/TypeScript SDKs, Jupyter and governed APIs
+
+### Govern and operate
+
+- Keycloak-based identity and role enforcement
+- Users, teams, assigned reviews and approval boundaries
+- Model catalog and logical model routing
+- API credentials, guardrails and audit activity
+- Governed connectors and MCP capability projection
+- Signed Pack Manager lifecycle
+- Platform, GPU, database, job and application monitoring
+- Backup, restore verification and support evidence
+
+## Data and trust boundaries
+
+Nexus One AI is designed so customer information remains within the approved
+deployment boundary. Browser clients do not receive connector secrets. External
+integrations use server-side credentials, allowlisted hosts and bounded
+capabilities. Generated applications and extensions operate in isolated
+Kubernetes boundaries and follow explicit review and acceptance lifecycles.
+
+## Deployment profiles
+
+- Nexus One AI Workstation: individual specialists and compact local deployments.
+- Server S: contained team or departmental introduction.
+- Server M: sustained departmental operations and broader automation.
+- Server L: multi-team use, larger knowledge workloads and advanced governance.
+- Server Max: custom enterprise, multi-GPU or specialized infrastructure design.
+
+Final sizing depends on model choice, quantization, context length, concurrency,
+document volume, latency target, storage retention and resilience requirements.
+
+## Customer implementation
+
+1. Discovery and workload definition
+2. Security, identity and infrastructure assessment
+3. Solution sizing and deployment profile
+4. Platform installation and configuration
+5. Data onboarding and integration
+6. Acceptance testing and operational handover
+7. Adoption, support and controlled expansion
+
+## Customer prerequisites
+
+- Approved compute, storage and network design
+- Customer identity and role model
+- Customer PKI and certificate requirements
+- Approved inference models and accelerator capacity
+- Data classification, retention and DLP policies
+- Backup destination and recovery objectives
+- Connector credentials, scopes and data-boundary approvals
+- Named platform, security and business owners
+
+Specific capability availability depends on the licensed edition, purchased
+packs, customer infrastructure and approved integration scope. Final architecture,
+sizing, security configuration and acceptance criteria are confirmed during the
+solution-design process.
+
diff --git a/docs/Nexus_One_AI_Enterprise_Platform_Datasheet.pdf b/docs/Nexus_One_AI_Enterprise_Platform_Datasheet.pdf
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 | `Nexus_One_AI_Datasheet.docx` | Editable technical buyer datasheet. |
 | `Nexus_One_AI_Datasheet.pdf` | Shareable PDF export of the technical buyer datasheet. |
 | `Nexus_One_AI_Live_Features_and_Architecture_155.pdf` | Verified technical feature and architecture reference for the current `.155` Enterprise Pilot environment. |
+| `Nexus_One_AI_Enterprise_Platform_Datasheet.pdf` | Customer-facing enterprise datasheet covering value, architecture, capabilities, security, operations, deployment and evaluation. |
+| `NEXUS_ONE_AI_ENTERPRISE_DATASHEET_SOURCE.md` | Editable customer-facing content source for the enterprise platform datasheet. |
 | `NEXUS_ONE_AI_LIVE_TECHNICAL_REFERENCE_155.md` | Editable source reference covering live topology, capabilities, evidence, limitations and next actions. |
 | `CURRENT_CAPABILITIES.md` | Concise live capability/status matrix, updated against `.155`. |
 | `architecture-overview.svg` | Simple stack view for repo pages, partner notes, and internal explainers. |