diff --git a/SerialPrograms/Source/ML/DataLabeling/ML_SegmentAnythingModel.cpp b/SerialPrograms/Source/ML/DataLabeling/ML_SegmentAnythingModel.cpp
index 13cf30ba9..702182667 100644
--- a/SerialPrograms/Source/ML/DataLabeling/ML_SegmentAnythingModel.cpp
+++ b/SerialPrograms/Source/ML/DataLabeling/ML_SegmentAnythingModel.cpp
@@ -25,7 +25,8 @@ namespace ML{
 
 
 SAMEmbedderSession::SAMEmbedderSession(const std::string& model_path, bool use_gpu)
-    : m_session_options{create_session_options(ML_MODEL_CACHE_PATH() + "SAMEmbedder/", use_gpu)}
+    : m_env{create_ORT_env()}
+    , m_session_options{create_session_options(ML_MODEL_CACHE_PATH() + "SAMEmbedder/", use_gpu)}
     , session{create_session(m_env, m_session_options, model_path, ML_MODEL_CACHE_PATH() + "SAMEmbedder/")}
     , memory_info{Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeCPU)}
     , input_names{session.GetInputNames()}
@@ -65,7 +66,8 @@ void SAMEmbedderSession::run(cv::Mat& input_image, std::vector<float>& model_out
 
 
 SAMSession::SAMSession(const std::string& model_path, bool use_gpu)
-    : m_session_options{create_session_options(ML_MODEL_CACHE_PATH() + "SAM/", use_gpu)}
+    : m_env{create_ORT_env()}
+    , m_session_options{create_session_options(ML_MODEL_CACHE_PATH() + "SAM/", use_gpu)}
     , session{create_session(m_env, m_session_options, model_path, ML_MODEL_CACHE_PATH() + "SAM/")}
     , memory_info{Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeCPU)}
     , input_names{session.GetInputNames()}
diff --git a/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.cpp b/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.cpp
index 32ab505e6..8cdffd4a5 100644
--- a/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.cpp
+++ b/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.cpp
@@ -16,6 +16,7 @@
 #include <fstream>
 #include <onnxruntime_cxx_api.h>
 #include "3rdParty/ONNX/OnnxToolsPA.h"
+#include "Common/Cpp/Exceptions.h"
 #include "Common/Compiler.h"
 #include "ML_ONNXRuntimeHelpers.h"
 
@@ -194,5 +195,13 @@ void print_model_input_output_info(const Ort::Session& session){
     }
 }
 
+Ort::Env create_ORT_env(){
+    if (Ort::Global<void>::api_ == nullptr){
+        throw InternalProgramError(nullptr, PA_CURRENT_FUNCTION, "Onnx API returned a null pointer.");  
+    }
+
+    return Ort::Env();
+}
+
 }
 }
diff --git a/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.h b/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.h
index 22181257d..952f942db 100644
--- a/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.h
+++ b/SerialPrograms/Source/ML/Models/ML_ONNXRuntimeHelpers.h
@@ -54,6 +54,8 @@ std::string to_string(std::vector<T>& vec){
 //  Print model input and output types and shapes to cout. Useful for debugging.
 void print_model_input_output_info(const Ort::Session& session);
 
+Ort::Env create_ORT_env();
+
 
 }
 }
diff --git a/SerialPrograms/Source/ML/Models/ML_YOLOv5Model.cpp b/SerialPrograms/Source/ML/Models/ML_YOLOv5Model.cpp
index 392970442..7f4164ce4 100644
--- a/SerialPrograms/Source/ML/Models/ML_YOLOv5Model.cpp
+++ b/SerialPrograms/Source/ML/Models/ML_YOLOv5Model.cpp
@@ -60,6 +60,7 @@ std::tuple<int, int, double, double> resize_image_with_border(
 
 YOLOv5Session::YOLOv5Session(const std::string& model_path, std::vector<std::string> label_names, bool use_gpu)
 : m_label_names(std::move(label_names))
+, m_env{create_ORT_env()}
 , m_session_options(create_session_options(ML_MODEL_CACHE_PATH() + "YOLOv5", use_gpu))
 , m_session{create_session(m_env, m_session_options, model_path, ML_MODEL_CACHE_PATH() + "YOLOv5")}
 , m_memory_info{Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeCPU)}