diff --git a/bootstrap.py b/bootstrap.py
new file mode 100644
index 0000000..f727fd3
--- /dev/null
+++ b/bootstrap.py
@@ -0,0 +1,204 @@
+#!/usr/bin/env python3
+from typing import Optional
+import requests
+import os.path
+import sys
+import json
+from urllib.parse import urljoin
+
+
+def compile_multipart_file_part(path: str) -> tuple:
+    return (
+        os.path.basename(path),
+        open(path, 'rb').read(),
+        'application/octet-stream',
+        {'Content-length': os.path.getsize(path)}
+    )
+
+
+def compile_multipart_json_part(data: dict) -> tuple:
+    return (
+        None,
+        json.dumps(data),
+        "application/json"
+    )
+
+
+def perform_upload_and_print_result_and_get_uuid(url: str, files: dict) -> Optional[str]:
+    try:
+        r = requests.post(url, files=files, timeout=90)
+    except requests.exceptions.RequestException as e:
+        print(" Failed!", flush=True)
+        print(e)
+        return None
+
+    if r.status_code != 200:
+        print(" Failed!", flush=True)
+        print("STATUS:", r.status_code)
+        print("HEADERS: ", r.headers)
+        print("CONTENT: ", r.content)
+        return None
+    else:
+        response_data = r.json()
+        if "id" not in response_data:
+            print(" Failed!", flush=True)
+            print("Invalid response: no id field!")
+            print("STATUS:", r.status_code)
+            print("HEADERS: ", r.headers)
+            print("CONTENT: ", r.content)
+            return None
+
+        print(" Success!", flush=True)
+        return response_data["id"]
+
+
+def put_json_and_print_result(url: str, data: dict) -> bool:
+    try:
+        r = requests.put(url, json=data)
+    except requests.exceptions.RequestException as e:
+        print(" Failed!", flush=True)
+        print(e)
+        return False
+
+    if r.status_code != 204:
+        print(" Failed!", flush=True)
+        print("STATUS:", r.status_code)
+        print("HEADERS: ", r.headers)
+        print("CONTENT: ", r.content)
+        return False
+    else:
+        print(" Success!", flush=True)
+        return True
+
+
+def get_and_print_failure_only_and_return_response(url: str) -> Optional[dict]:
+    try:
+        r = requests.get(url)
+    except requests.exceptions.RequestException as e:
+        print(" Failed!", flush=True)
+        print(e)
+        return None
+
+    if r.status_code != 200:
+        print(" Failed!", flush=True)
+        print("STATUS:", r.status_code)
+        print("HEADERS: ", r.headers)
+        print("CONTENT: ", r.content)
+        return None
+    else:
+        response_data = r.json()
+        return response_data
+
+
+def main():
+    if len(sys.argv) != 2:
+        print("Usage: bootstrap.py [API_BASE]")
+        return
+
+    api_base = sys.argv[1]
+    basepath = os.path.dirname(os.path.abspath(__file__))
+
+    print(f"Bootstrapping Birbnetes deployment at {api_base} with models in {basepath}...")
+
+    print("[1/5] Uploading CNN model...", end="", flush=True)
+
+    # Upload CNN first
+    cnn_modelFile = os.path.join(basepath, "models/cnn/model_batch_590.json")
+    cnn_weightsFile = os.path.join(basepath, "models/cnn/best_model_batch_590.h5")
+
+    files = {
+        "modelFile": compile_multipart_file_part(cnn_modelFile),
+        "weightsFile": compile_multipart_file_part(cnn_weightsFile),
+        "info": compile_multipart_json_part({"target_class_name": "sturnus"})
+    }
+
+    cnn_uuid = perform_upload_and_print_result_and_get_uuid(urljoin(api_base, "model/cnn"), files)
+
+    if not cnn_uuid:
+        return
+
+    print("[2/5] Uploading SVM model...", end="", flush=True)
+
+    # Upload SVM model
+    svm_modelFile = os.path.join(basepath, "models/svm/svm_8_500")
+    svm_meansFile = os.path.join(basepath, "models/svm/svm_8_500MEANS")
+
+    files = {
+        "modelFile": compile_multipart_file_part(svm_modelFile),
+        "meansFile": compile_multipart_file_part(svm_meansFile),
+        "info": compile_multipart_json_part({"target_class_name": "Chirp"})
+    }
+
+    svm_uuid = perform_upload_and_print_result_and_get_uuid(urljoin(api_base, "model/svm"), files)
+
+    if not svm_uuid:
+        return
+
+    print("[3/5] Setting default CNN model...", end="", flush=True)
+    if not put_json_and_print_result(urljoin(api_base, "model/cnn/$default"), {"id": cnn_uuid}):
+        return
+
+    print("[4/5] Setting default SVM model...", end="", flush=True)
+    if not put_json_and_print_result(urljoin(api_base, "model/svm/$default"), {"id": svm_uuid}):
+        return
+
+    print("[5/5] Validating...", end="", flush=True)
+    data = get_and_print_failure_only_and_return_response(urljoin(api_base, "model"))
+
+    if not data:
+        return
+
+    svm_found = False
+    cnn_found = False
+    for model_data in data:
+        if model_data['id'] == cnn_uuid:
+            if not model_data['default']:
+                print(" Failed!", flush=True)
+                print("The uploaded CNN model is not the default")
+                print("DATA:", data)
+                return
+            else:
+                if cnn_found:
+                    print(" Failed!", flush=True)
+                    print("The uploaded CNN model appears twice")
+                    print("DATA:", data)
+                    return
+                else:
+                    cnn_found = True
+
+        if model_data['id'] == svm_uuid:
+            if not model_data['default']:
+                print(" Failed!", flush=True)
+                print("The uploaded SVM model is not the default")
+                print("DATA:", data)
+                return
+            else:
+                if svm_found:
+                    print(" Failed!", flush=True)
+                    print("The uploaded SVM model appears twice")
+                    print("DATA:", data)
+                    return
+                else:
+                    svm_found = True
+
+    if not cnn_found:
+        print(" Failed!", flush=True)
+        print("The uploaded CNN model is missing")
+        print("EXPETED:", cnn_uuid)
+        print("DATA:", data)
+        return
+
+    if not svm_found:
+        print(" Failed!", flush=True)
+        print("The uploaded SVM model is missing")
+        print("EXPETED:", svm_uuid)
+        print("DATA:", data)
+        return
+
+    print(" Success!", flush=True)
+
+    print("Your Birbnetes deployment is ready!")
+
+
+if __name__ == '__main__':
+    main()