diff --git a/MLBOM/Dataset/bom.json b/MLBOM/Dataset/bom.json
new file mode 100644
index 0000000..904afb2
--- /dev/null
+++ b/MLBOM/Dataset/bom.json
@@ -0,0 +1,119 @@
+{
+    "$schema": "http://cyclonedx.org/schema/bom-1.6.schema.json",
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:75de3b9b-9e53-4421-a259-11f18afc22bf",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2024-11-24T13:10:49Z",
+    },
+    "components": [
+        {
+            "type": "data",
+            "supplier": {
+                "name": "Wikimedia"
+            },
+            "manufacturer": {
+                "name": "Wikimedia"
+            },
+            "publisher": "Hugging Face Inc",
+            "name": "wikipedia",
+            "version": "b04c8d1ceb2f5cd4588862100d08de323dccfbaa",
+            "data": [
+                {
+                    "type": "dataset",
+                    "name": "wikipedia",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/wikimedia/wikipedia",
+                    }
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "id": "CC-BY-SA-3.0",
+                        "name": "Creative Commons Attribution Share Alike 3.0",
+                        "url": "https://spdx.org/licenses/CC-BY-SA-3.0.html"
+                    }
+                },
+                {
+                    "license": {
+                        "id": "GFDL-1.3",
+                        "name": "GNU Free Documentation License family",
+                        "url": "https://www.gnu.org/licenses/fdl-1.3.en.html"
+                    }
+                }
+            ],
+            "externalReferences": [
+                {
+                    "type": "website",
+                    "url": "https://huggingface.co/datasets/wikimedia/wikipedia"
+                }
+            ],
+            "hashes": [
+                {
+                    "alg": "SHA-1",
+                    "content": "b04c8d1ceb2f5cd4588862100d08de323dccfbaa"
+                }
+            ],
+            "properties": [
+                {
+                    "name": "task_categories",
+                    "value": "text-generation"
+                },
+                {
+                    "name": "task_categories",
+                    "value": "fill-mask"
+                },
+                {
+                    "name": "task_ids",
+                    "value": "language-modeling"
+                },
+                {
+                    "name": "task_ids",
+                    "value": "masked-language-modeling"
+                },
+                {
+                    "name": "language",
+                    "value": "en"
+                },
+                {
+                    "name": "language",
+                    "value": "es"
+                },
+                {
+                    "name": "size_categories",
+                    "value": "10M<n<100M"
+                },
+                {
+                    "name": "format",
+                    "value": "parquet"
+                },
+                {
+                    "name": "modality",
+                    "value": "text"
+                },
+                {
+                    "name": "library",
+                    "value": "datasets"
+                },
+                {
+                    "name": "library",
+                    "value": "dask"
+                },
+                {
+                    "name": "library",
+                    "value": "mlcroissant"
+                },
+                {
+                    "name": "library",
+                    "value": "polars"
+                },
+                {
+                    "name": "region",
+                    "value": "us"
+                }
+            ]
+        }
+    ]
+}
\ No newline at end of file
diff --git a/MLBOM/Model/FoundationModels/bom.json b/MLBOM/Model/FoundationModels/bom.json
new file mode 100644
index 0000000..54e4c1e
--- /dev/null
+++ b/MLBOM/Model/FoundationModels/bom.json
@@ -0,0 +1,47 @@
+{
+    "$schema": "http://cyclonedx.org/schema/bom-1.6.schema.json",
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:56315ffe-c0af-4474-9c11-c94d1af986a9",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2024-11-24T13:05:42Z",
+        "manufacturer": {
+            "name": "Noma Security Inc."
+        }
+    },
+    "components": [
+        {
+            "type": "machine-learning-model",
+            "supplier": {
+                "name": "OpenAI Inc"
+            },
+            "manufacturer": {
+                "name": "OpenAI Inc"
+            },
+            "publisher": "OpenAI Inc",
+            "name": "gpt-4o",
+            "modelCard": {
+                "modelParameters": {
+                    "modelArchitecture": "GPT-4",
+                    "inputs": [
+                        {
+                            "format": "string"
+                        },
+                        {
+                            "format": "image"
+                        }
+                    ],
+                    "outputs": [
+                        {
+                            "format": "string"
+                        },
+                        {
+                            "format": "image"
+                        }
+                    ]
+                }
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/MLBOM/Model/OpenSource/bom.json b/MLBOM/Model/OpenSource/bom.json
new file mode 100644
index 0000000..dc3bc06
--- /dev/null
+++ b/MLBOM/Model/OpenSource/bom.json
@@ -0,0 +1,87 @@
+{
+    "$schema": "http://cyclonedx.org/schema/bom-1.6.schema.json",
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:21d0b6f8-f5b0-44df-8587-79c5d70cd1da",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2024-11-24T13:10:49Z",
+    },
+    "components": [
+        {
+            "type": "machine-learning-model",
+            "supplier": {
+                "name": "google-bert"
+            },
+            "manufacturer": {
+                "name": "google-bert"
+            },
+            "publisher": "Hugging Face Inc",
+            "name": "bert-base-cased",
+            "version": "cd5ef92a9fb2f889e972770a36d4ed042daf221e",
+            "licenses": [
+                {
+                    "license": {
+                        "id": "Apache-2.0",
+                        "name": "Apache License 2.0",
+                        "url": "https://www.apache.org/licenses/LICENSE-2.0"
+                    }
+                }
+            ],
+            "externalReferences": [
+                {
+                    "type": "website",
+                    "url": "https://huggingface.co/google-bert/bert-base-cased"
+                }
+            ],
+            "hashes": [
+                {
+                    "alg": "SHA-1",
+                    "content": "cd5ef92a9fb2f889e972770a36d4ed042daf221e"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "datasets": [
+                        {
+                            "type": "dataset",
+                            "name": "legacy-datasets/wikipedia",
+                            "contents": {
+                                "url": "https://huggingface.co/datasets/legacy-datasets/wikipedia"
+                            },
+                            "description": "Wikipedia dataset containing cleaned articles of all languages."
+                        },
+                        {
+                            "type": "dataset",
+                            "name": "bookcorpus/bookcorpus",
+                            "contents": {
+                                "url": "https://huggingface.co/datasets/bookcorpus/bookcorpus"
+                            },
+                            "description": "A corpus of fine-grained information and high-level semantics text"
+                        }
+                    ]
+                }
+            },
+            "properties": [
+                {
+                    "name": "region",
+                    "value": "us"
+                }
+            ],
+            "tags": [
+                "transformers",
+                "pytorch",
+                "tf",
+                "jax",
+                "safetensors",
+                "bert",
+                "fill-mask",
+                "exbert",
+                "en",
+                "arxiv:1810.04805",
+                "autotrain_compatible",
+                "endpoints_compatible"
+            ]
+        }
+    ]
+}
\ No newline at end of file
diff --git a/MLBOM/README.md b/MLBOM/README.md
new file mode 100644
index 0000000..14d9066
--- /dev/null
+++ b/MLBOM/README.md
@@ -0,0 +1,28 @@
+# Machine Learning Bill of Materials (ML-BOM)
+
+Machine learning, particularly AI, often lacks transparency regarding models' usage, creation processes, and lifecycle within organizations. The Machine Learning Bill of Materials (ML-BOM) builds on CycloneDX to offer a detailed representation of machine learning models, datasets, and related artifacts. ML-BOM empowers organizations to document, manage, and secure their machine learning assets while enhancing visibility into model lineage and mitigating supply chain risks.
+
+## Features of ML-BOM
+- Captures machine learning models, datasets, libraries, and their interdependencies.
+- Documents comprehensive metadata about models, including architecture, training datasets, performance metrics, and ethical considerations.
+- Facilitates model lineage tracking, integrating it into the lifecycle management of ML components from design to decommission.
+- Enhances transparency by illustrating how software incorporates ML/AI components and embedding them within the broader SBOM framework.
+- Highlights critical details about model biases and ethical implications stemming from training datasets, while identifying and classifying the presence of sensitive data in datasets or trained models.
+
+## Key Components
+
+### 1. **Machine Learning Models**
+ML-BOM can document models and their parameters, including Model Architecture and Performance Metrics, and Ethical and Fairness Considerations
+
+### 2. **Datasets**
+Datasets used for training, validation, and inference can be described with:
+- **Data Classification**: Tags to specify sensitivity and value.
+- **Data Governance**: Ownership, stewardship, and custodianship details.
+- **Sensitive Data**: Annotations for datasets containing sensitive information.
+
+### 3. **Libraries**
+ML-BOM provides a detailed overview of the dependencies models have on specific ML/AI libraries, ensuring transparency and traceability in their usage, including their versioning, licenses, and security considerations
+
+
+## High-Level Object Model
+![CycloneDX Object Model Swimlane](https://cyclonedx.org/theme/assets/images/CycloneDX-Object-Model-Swimlane.svg)
diff --git a/README.md b/README.md
index 759c207..7389f87 100644
--- a/README.md
+++ b/README.md
@@ -15,6 +15,7 @@ are categorized by different BOM types including:
 |--------------------|-----------------------------------------|
 | [CBOM](CBOM)       | Cryptography Bill of Materials          |
 | [HBOM](HBOM)       | Hardware Bill of Materials              |
+| [MLBOM](MLBOM)     | Machine Learning Bill of Materials      |
 | [OBOM](OBOM)       | Operations Bill of Materials            |
 | [SaaSBOM](SaaSBOM) | Software-as-a-Service Bill of Materials |
 | [SBOM](SBOM)       | Software Bill of Materials              |