Enterprise ML — Sovereign LLM

Sovereign MLOps

Self-learning pipeline

Automated dataset sync, RAG indexing, training orchestration, and governance-linked healing — no cloud dependency required.

Platform readiness

—

Air-gap—

SLHP scheduler—

Assurance—

MLOps pipeline

Dataset → Train → Register → Learn → Deploy

Recent activity

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Enterprise capabilities

Label

Path (UNC / mapped drive)

KB subfolder

Link to dataset (optional)

Source	Scan	Last sync	Actions
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Name

Department

Project

Description

File

Name	Dept	Project	Files	Actions

Integration capability learning

Build a sanitized dataset from Sovereign platform capabilities and public API integration catalogs (Google, LinkedIn, Microsoft Graph, etc.). No credentials or confidential content is stored. Runs dataset creation, KB sync, and a rag_sync training job.

Job name

Dataset

Department

Project

Mode

Base model

Name	Mode	Status	Actions

Name

Model tag

Base model

Department

Project

Name	Tag	Status	Admin

Profile name

Datasets

Department

Project

Model tag

Auto-sync KB on learning cycle

Name	Dept	Model	Auto-sync	Actions

Dataset

Department

Project

Base model

Training mode

Enable MLLM (vision)

Recent stack builds

Department	Project	Status	Created

Automated actions

Full automation runs: all auto-sync learning profiles → retry failed training jobs → enterprise healing (KB repair, Chroma sync, SLHP cycle).

Enterprise ML Command Center

Self-learning pipeline

MLOps pipeline

Recent activity

Enterprise capabilities

Corpus sources

Datasets

Training jobs

Integration capability learning

Model registry

Learning profiles

Full AI stack builder

Recent stack builds

Automation & self-healing

Automated actions

Offline / air-gap readiness

SLHP scheduler

Infrastructure

Platform status