diff --git a/.github/workflows/test_workflow_pixi.yml b/.github/workflows/test_workflow_pixi.yml
index 757d788..a234516 100644
--- a/.github/workflows/test_workflow_pixi.yml
+++ b/.github/workflows/test_workflow_pixi.yml
@@ -25,6 +25,11 @@ on:
         required: false
         default: false
 
+concurrency:
+  # Cancel any existing CI runs if we push to this branch
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
 run-name:  ${{ inputs.run_name }}
 
 jobs:
@@ -36,11 +41,16 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest, macos-latest]
+        os: [ubuntu-latest, macos-latest, windows-latest]
         pixi-environment: ['default', 'py311', 'py312', 'py314']
 
     runs-on: ${{ matrix.os }}
 
+    defaults:
+      run:
+        # Note this isn't passed to the composite action
+        shell: bash -l {0}
+
     name: ${{ matrix.os }} / Python ${{ matrix.pixi-environment }}
 
     env:
@@ -67,7 +77,7 @@ jobs:
         run: |
           mkdir -p ~/.ssh/
           echo "$SSH_PRIVATE_KEY" > ~/.ssh/id_rsa
-          sudo chmod 600 ~/.ssh/id_rsa
+          chmod 600 ~/.ssh/id_rsa
           echo "$SSH_KNOWN_HOSTS" > ~/.ssh/known_hosts
 
       - name: Checkout code
@@ -84,7 +94,14 @@ jobs:
           echo "============================================================="
           echo "Install build_pyoptsparse in pixi environment"
           echo "============================================================="
-          pixi run -e ${{ matrix.pixi-environment }} pip install -e .
+          pixi run --frozen -e ${{ matrix.pixi-environment }} pip install -e .
+
+      - uses: fortran-lang/setup-fortran@v1
+        id: setup-fortran
+        if: env.HAS_SNOPT_ACCESS == 'true' && runner.os == 'Windows'
+        with:
+          compiler: intel
+          version: 2025.2
 
       - name: Display environment
         run: |
@@ -94,13 +111,6 @@ jobs:
           pixi info
           pixi list -e ${{ matrix.pixi-environment }}
 
-          echo "============================================================="
-          echo "Check Python, NumPy versions"
-          echo "============================================================="
-          pixi run -e ${{ matrix.pixi-environment }} python -c "import sys; print(f'Python: {sys.version}')"
-          pixi run -e ${{ matrix.pixi-environment }} python -c "import numpy; print(f'NumPy: {numpy.__version__}')"
-          pixi run -e ${{ matrix.pixi-environment }} python -c "import pyoptsparse; print(f'pyoptsparse: {pyoptsparse.__version__}')"
-
       - name: Copy SNOPT source files
         if: env.HAS_SNOPT_ACCESS == 'true'
         run: |
@@ -113,19 +123,22 @@ jobs:
 
       - name: Build SNOPT module
         if: env.HAS_SNOPT_ACCESS == 'true'
+        env:
+          FC: ${{ runner.os == 'Windows' && 'ifx' || 'gfortran' }}
+          CC: ${{ runner.os == 'Windows' && 'cl' || 'gcc' }}
         run: |
           echo "============================================================="
           echo "Build SNOPT module with build_pyoptsparse"
           echo "============================================================="
-          pixi run -e ${{ matrix.pixi-environment }} python -m build_pyoptsparse.snopt_module SNOPT/src
+          pixi run --frozen -e ${{ matrix.pixi-environment }} python -m build_pyoptsparse.snopt_module SNOPT/src
 
-      - name: Test SNOPT module
-        if: env.HAS_SNOPT_ACCESS == 'true'
+      - name: Test SNOPT module (Unix)
+        if: env.HAS_SNOPT_ACCESS == 'true' && runner.os != 'Windows'
         run: |
           echo "============================================================="
           echo "Test that SNOPT module can be imported"
           echo "============================================================="
-          pixi run -e ${{ matrix.pixi-environment }} python -c "from pyoptsparse import SNOPT; print('SNOPT loaded successfully!')"
+          pixi run --frozen -e ${{ matrix.pixi-environment }} python -c "from pyoptsparse import SNOPT; print('SNOPT loaded successfully!')"
 
           echo "============================================================="
           echo "Test SNOPT optimization"
@@ -133,7 +146,22 @@ jobs:
           export SNOPT_SRC_PATH="SNOPT/src"
           echo $PWD
           ls -la
-          pixi run -e ${{ matrix.pixi-environment }} python -m unittest build_pyoptsparse/test/test_snopt_module.py
+          pixi run --frozen -e ${{ matrix.pixi-environment }} python -m unittest build_pyoptsparse/test/test_snopt_module.py
+
+      - name: Test SNOPT module (Windows)
+        if: env.HAS_SNOPT_ACCESS == 'true' && runner.os == 'Windows'
+        shell: cmd
+        run: |
+          echo =============================================================
+          echo Test that SNOPT module can be imported
+          echo =============================================================
+          echo Attempting to load snopt.pyd with detailed error info
+          pixi run --frozen -e ${{ matrix.pixi-environment }} python -c "from pyoptsparse import OPT; opt = OPT('SNOPT'); print('Success!')"
+
+          echo =============================================================
+          echo Test SNOPT optimization
+          echo =============================================================
+          pixi run --frozen -e ${{ matrix.pixi-environment }} python -m unittest build_pyoptsparse/test/test_snopt_module.py
 
       # Enable tmate debugging of manually-triggered workflows if the input option was provided
       - name: Setup tmate session
diff --git a/build_pyoptsparse/snopt_module.py b/build_pyoptsparse/snopt_module.py
index 432ab51..25c44d1 100644
--- a/build_pyoptsparse/snopt_module.py
+++ b/build_pyoptsparse/snopt_module.py
@@ -303,7 +303,28 @@ def create_meson_build_file(build_dir: Path | str,
   command: [py3, '-m', 'numpy.f2py', '@INPUT@', '--lower', '--build-dir', '.']
 )
 
-# Build extension module
+fc = meson.get_compiler('fortran')
+fc_id = fc.get_id()
+host_system = host_machine.system()
+
+# Set compiler-specific flags for fixed-form Fortran
+if host_system == 'windows' and (fc_id == 'intel' or fc_id == 'intel-cl' or fc_id == 'intel-llvm-cl')
+  # Intel on Windows - use Windows-style flags
+  fortran_flags = ['/fixed', '/extend-source:80', '/names:lowercase', '/assume:underscore']
+elif fc_id == 'intel' or fc_id == 'intel-cl'
+  # Intel on Linux/macOS - use Unix-style flags
+  fortran_flags = ['-fixed', '-extend-source', '80']
+elif fc_id == 'gcc'
+  fortran_flags = ['-ffixed-form', '-ffixed-line-length-80']
+else
+  # Default to gfortran-style flags
+  fortran_flags = ['-ffixed-form', '-ffixed-line-length-80']
+endif
+
+message('Fortran compiler ID: ' + fc_id)
+message('Host system: ' + host_system)
+message('Fortran flags: ' + ' '.join(fortran_flags))
+
 py3.extension_module('snopt',
   snopt_source,
   fortranobject_c,
@@ -311,7 +332,7 @@ def create_meson_build_file(build_dir: Path | str,
   include_directories: [inc_np, inc_f2py],
   dependencies: py3_dep,
   install: false,
-  fortran_args: '-ffixed-line-length-80'
+  fortran_args: fortran_flags
 )
 
 message('SNOPT module will be built')
@@ -396,6 +417,64 @@ def find_built_module(build_dir):
 
     return None
 
+def copy_intel_runtime_dlls(output_dir):
+    """Copy Intel Fortran runtime DLLs to output directory on Windows."""
+    # Intel runtime DLLs needed by ifx-compiled code
+    required_dlls = [
+        'libifcoremd.dll',
+        'libmmd.dll', 
+        'svml_dispmd.dll',
+        'libiompstubs5md.dll',
+    ]
+    
+    # Find Intel compiler bin directory from PATH or known locations
+    intel_bin_dir = None
+    
+    # Check PATH first
+    path_dirs = os.environ.get('PATH', '').split(os.pathsep)
+    for path_dir in path_dirs:
+        if 'Intel' in path_dir and 'compiler' in path_dir and 'bin' in path_dir:
+            test_path = Path(path_dir)
+            if test_path.exists() and (test_path / 'libifcoremd.dll').exists():
+                intel_bin_dir = test_path
+                break
+    
+    # Fallback to known locations
+    if not intel_bin_dir:
+        known_paths = [
+            Path(r"C:\Program Files (x86)\Intel\oneAPI\compiler\latest\bin"),
+            Path(r"C:\Program Files (x86)\Intel\oneAPI\compiler\2025.2\bin"),
+            Path(r"C:\Program Files (x86)\Intel\oneAPI\compiler\2024.2\bin"),
+        ]
+        for path in known_paths:
+            if path.exists() and (path / 'libifcoremd.dll').exists():
+                intel_bin_dir = path
+                break
+    
+    if not intel_bin_dir:
+        print("\nWarning: Could not find Intel runtime DLLs.")
+        print("The SNOPT module may not work unless Intel oneAPI is in the system PATH.")
+        return
+    
+    print(f"\nCopying Intel runtime DLLs from {intel_bin_dir}")
+    copied = []
+    for dll in required_dlls:
+        src = intel_bin_dir / dll
+        if src.exists():
+            dest = output_dir / dll
+            try:
+                shutil.copy2(src, dest)
+                copied.append(dll)
+                print(f"  Copied {dll}")
+            except Exception as e:
+                print(f"  Warning: Could not copy {dll}: {e}")
+    
+    if copied:
+        print(f"\nSuccessfully copied {len(copied)} Intel runtime DLLs")
+        print("SNOPT module should now work without requiring Intel oneAPI in PATH")
+    else:
+        print("\nWarning: No Intel runtime DLLs were copied")
+
 
 def install_module(module_path, output_dir):
     """Copy the built module to the output directory."""
@@ -405,6 +484,12 @@ def install_module(module_path, output_dir):
     dest_file = output_path / module_path.name
     shutil.copy2(module_path, dest_file)
 
+    # On Windows with Intel compiler, copy runtime DLLs next to the .pyd
+    if platform.system() == 'Windows':
+        fc_compiler = os.environ.get('FC', '').lower()
+        if 'ifx' in fc_compiler or 'ifort' in fc_compiler:
+            copy_intel_runtime_dlls(output_path)
+
     print(f"\nInstalled SNOPT module to: {dest_file}")
     return dest_file
 
diff --git a/build_pyoptsparse/test/test_snopt_module.py b/build_pyoptsparse/test/test_snopt_module.py
index 71f8862..37134cc 100644
--- a/build_pyoptsparse/test/test_snopt_module.py
+++ b/build_pyoptsparse/test/test_snopt_module.py
@@ -92,9 +92,6 @@ def sens(xdict, funcs):
         # Objective
         optProb.addObj("obj")
 
-        # Check optimization problem:
-        print(optProb)
-
         # Optimizer
         opt = OPT('SNOPT')
 
@@ -102,7 +99,7 @@ def sens(xdict, funcs):
         sol = opt(optProb, sens=sens)
 
         self.assertEqual(sol.optInform.value, 1)
-
+        assert_almost_equal(sol.fStar, 17.014, decimal=2)
 
 if __name__ == '__main__':
     unittest.main()
diff --git a/pixi.lock b/pixi.lock
index 44ddf74..129c2a3 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -224,6 +224,51 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-h8359307_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
+      win-64:
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ansicolors-1.1.8-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_8.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-h4c7d964_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/icu-78.2-h637d24d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-35_h5709861_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-35_h2a3cdd5_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.7.3-hac47afa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h52bdfb6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libflang-5.0.0-h6538335_20180525.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.12.2-default_h4379cf1_1000.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.18-hc1393d2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-35_hf9ab0e9_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.1-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libmpdec-4.0.0-h2466b09_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libpgmath-2021.08.06-h39d44d4_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.51.2-hf5d6505_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libwinpthread-12.0.0.r4.gg4f2fc60ca-h57928b3_10.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-16-2.15.1-h3cfd58e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.15.1-h779ef1b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.1-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/llvm-meta-5.0.0-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mdolab-baseclasses-1.8.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/meson-1.10.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.2.2-h57928b3_15.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ninja-1.13.2-h477610d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.4.1-py313hce7ae62_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openmp-5.0.0-vc14_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.0-h725018a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.3-pyh145f28c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyoptsparse-2.14.5-py313hc65ffb4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.11-h09917c8_100_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/sqlitedict-2.1.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-h3155e25_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h2c6b04d_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_34.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_34.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_34.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_34.conda
   py311:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
@@ -454,6 +499,52 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-h8359307_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
+      win-64:
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ansicolors-1.1.8-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h0ad9c76_8.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.1.4-h4c7d964_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/icu-78.2-h637d24d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-35_h5709861_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-35_h2a3cdd5_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.7.3-hac47afa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.5.2-h52bdfb6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libflang-5.0.0-h6538335_20180525.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.12.2-default_h4379cf1_1000.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.18-hc1393d2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-35_hf9ab0e9_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblzma-5.8.1-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libpgmath-2021.08.06-h39d44d4_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.51.2-hf5d6505_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libwinpthread-12.0.0.r4.gg4f2fc60ca-h57928b3_10.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-16-2.15.1-h3cfd58e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.15.1-h779ef1b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.1-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/llvm-meta-5.0.0-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/mdolab-baseclasses-1.8.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/meson-1.10.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.2.2-h57928b3_15.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ninja-1.13.2-h477610d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.4.1-py311h80b3fa1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openmp-5.0.0-vc14_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.0-h725018a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-25.0-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pip-25.3-pyh8b19718_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyoptsparse-2.14.5-py311hf10c8ea_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.11.14-h0159041_2_cpython.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.11-8_cp311.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py311h9c22a71_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-80.9.0-pyhff2d567_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/sqlitedict-2.1.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-h3155e25_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h2c6b04d_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_34.conda
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+  - libflang >=5.0.0,<6.0.0.a0
+  - libpgmath >=2021.8.6,<2021.8.7.0a0
+  - mdolab-baseclasses >=1.3.1
+  - numpy >=1.23,<3
+  - packaging
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - scipy >1.2
+  - sqlitedict >=1.6
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: LGPL-3.0-only
+  license_family: LGPL
+  size: 963597
+  timestamp: 1765741443915
+- conda: https://conda.anaconda.org/conda-forge/win-64/pyoptsparse-2.14.5-py314h96e4a21_0.conda
+  sha256: 40b983d0ea3eb7e23f12ae327faa4180d5d727f5f84ca255f0530360b8e61979
+  md5: b231fc56d94c7840899da43bedd81b4b
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+  - libflang >=5.0.0,<6.0.0.a0
+  - libpgmath >=2021.8.6,<2021.8.7.0a0
+  - mdolab-baseclasses >=1.3.1
+  - numpy >=1.23,<3
+  - packaging
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  - scipy >1.2
+  - sqlitedict >=1.6
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: LGPL-3.0-only
+  license_family: LGPL
+  size: 969388
+  timestamp: 1765741304570
 - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.11.14-hd63d673_2_cpython.conda
   build_number: 2
   sha256: 5b872f7747891e50e990a96d2b235236a5c66cc9f8c9dcb7149aee674ea8145a
@@ -3574,6 +4198,97 @@ packages:
   size: 13575758
   timestamp: 1765021280625
   python_site_packages_path: lib/python3.14/site-packages
+- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.11.14-h0159041_2_cpython.conda
+  build_number: 2
+  sha256: d5f455472597aefcdde1bc39bca313fcb40bf084f3ad987da0441f2a2ec242e4
+  md5: 02a9ba5950d8b78e6c9862d6ba7a5045
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+  - liblzma >=5.8.1,<6.0a0
+  - libsqlite >=3.50.4,<4.0a0
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+  - openssl >=3.5.4,<4.0a0
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  constrains:
+  - python_abi 3.11.* *_cp311
+  license: Python-2.0
+  size: 18514691
+  timestamp: 1761172844103
+- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.12.12-h0159041_1_cpython.conda
+  build_number: 1
+  sha256: 9b163b0426c92eee1881d5c838e230a750a3fa372092db494772886ab91c2548
+  md5: 42ae551e4c15837a582bea63412dc0b4
+  depends:
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+  - libexpat >=2.7.1,<3.0a0
+  - libffi >=3.5.2,<3.6.0a0
+  - liblzma >=5.8.1,<6.0a0
+  - libsqlite >=3.50.4,<4.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - openssl >=3.5.4,<4.0a0
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  constrains:
+  - python_abi 3.12.* *_cp312
+  license: Python-2.0
+  size: 15883484
+  timestamp: 1761175152489
+- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.13.11-h09917c8_100_cp313.conda
+  build_number: 100
+  sha256: 0ee0402368783e1fad10025719530499c517a3dbbdfbe18351841d9b7aef1d6a
+  md5: 9e4c9a7ee9c4ab5b3778ab73e583283e
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+  - liblzma >=5.8.1,<6.0a0
+  - libmpdec >=4.0.0,<5.0a0
+  - libsqlite >=3.51.1,<4.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - openssl >=3.5.4,<4.0a0
+  - python_abi 3.13.* *_cp313
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Python-2.0
+  size: 16617922
+  timestamp: 1765019627175
+  python_site_packages_path: Lib/site-packages
+- conda: https://conda.anaconda.org/conda-forge/win-64/python-3.14.2-h4b44e0e_100_cp314.conda
+  build_number: 100
+  sha256: 6857d7c97cc71fe9ba298dcb1d3b66cc7df425132ab801babd655faa3df48f32
+  md5: c3c73414d5ae3f543c531c978d9cc8b8
+  depends:
+  - bzip2 >=1.0.8,<2.0a0
+  - libexpat >=2.7.3,<3.0a0
+  - libffi >=3.5.2,<3.6.0a0
+  - liblzma >=5.8.1,<6.0a0
+  - libmpdec >=4.0.0,<5.0a0
+  - libsqlite >=3.51.1,<4.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - openssl >=3.5.4,<4.0a0
+  - python_abi 3.14.* *_cp314
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - zstd >=1.5.7,<1.6.0a0
+  license: Python-2.0
+  size: 16833248
+  timestamp: 1765020224759
+  python_site_packages_path: Lib/site-packages
 - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.11-8_cp311.conda
   build_number: 8
   sha256: fddf123692aa4b1fc48f0471e346400d9852d96eeed77dbfdd746fa50a8ff894
@@ -3893,6 +4608,82 @@ packages:
   license_family: BSD
   size: 13963441
   timestamp: 1768136355974
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py311h9c22a71_0.conda
+  sha256: 687a5a457d163415d1802c876a8075f279947c1a931478fe5e31a67d4e69afdd
+  md5: 5a37e6e0b88c9fcfd1050ded185d07a1
+  depends:
+  - libblas >=3.9.0,<4.0a0
+  - libcblas >=3.9.0,<4.0a0
+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.11,<3.12.0a0
+  - python_abi 3.11.* *_cp311
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 15085719
+  timestamp: 1768136780834
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py312h9b3c559_0.conda
+  sha256: 6f05352d921f1914f54c7805368842c07c116dee7ede90ed031a811d2a4efdcf
+  md5: b6edf419055109b566cd1e127dc81163
+  depends:
+  - libblas >=3.9.0,<4.0a0
+  - libcblas >=3.9.0,<4.0a0
+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 14944653
+  timestamp: 1768137048439
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py313he51e9a2_0.conda
+  sha256: 1ee7142b35b5d0a9141735d04bba2ae02b5ee4f056b57774a7c1fd84cf0cd9da
+  md5: 94daca8e09c661a3445476c720fc3e6a
+  depends:
+  - libblas >=3.9.0,<4.0a0
+  - libcblas >=3.9.0,<4.0a0
+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 15023367
+  timestamp: 1768136974347
+- conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.17.0-py314h221f224_0.conda
+  sha256: 86f326841bdc05ac11e4e91d41003d0f1a6e9e2d90722eea171c345d373736cd
+  md5: fbed96dffff25b870c734c015a4a620e
+  depends:
+  - libblas >=3.9.0,<4.0a0
+  - libcblas >=3.9.0,<4.0a0
+  - liblapack >=3.9.0,<4.0a0
+  - numpy <2.7
+  - numpy >=1.23,<3
+  - numpy >=1.25.2
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 15104603
+  timestamp: 1768136833397
 - conda: https://conda.anaconda.org/conda-forge/noarch/sdkroot_env_osx-64-26.0-hda3c137_5.conda
   sha256: a8f7b6bec6772b9100713cc6e0f8d3d22b601e3a722be13ccf2465c2cab6cb3c
   md5: 9ba4c4f68b9817b7c81954cdc425a50d
@@ -3978,6 +4769,18 @@ packages:
   license: NCSA
   size: 199699
   timestamp: 1762535277608
+- conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-h3155e25_5.conda
+  sha256: d4ae2d8556fbbf48ce3e73105d4fa2d17c01207c3753b437f452d0859bb4edbc
+  md5: 65dea6d658cdf1a4edb27a3cc132d389
+  depends:
+  - libhwloc >=2.12.2,<2.12.3.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: APACHE
+  size: 149643
+  timestamp: 1767886812131
 - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda
   sha256: 1544760538a40bcd8ace2b1d8ebe3eb5807ac268641f8acdc18c69c5ebfeaf64
   md5: 86bc20552bf46075e3d92b67f089172d
@@ -4011,12 +4814,75 @@ packages:
   license_family: BSD
   size: 3125484
   timestamp: 1763055028377
+- conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h2c6b04d_3.conda
+  sha256: 4581f4ffb432fefa1ac4f85c5682cc27014bcd66e7beaa0ee330e927a7858790
+  md5: 7cb36e506a7dba4817970f8adb6396f9
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: TCL
+  license_family: BSD
+  size: 3472313
+  timestamp: 1763055164278
 - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda
   sha256: 1d30098909076af33a35017eed6f2953af1c769e273a0626a04722ac4acaba3c
   md5: ad659d0a2b3e47e38d829aa8cad2d610
   license: LicenseRef-Public-Domain
   size: 119135
   timestamp: 1767016325805
+- conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
+  sha256: 3005729dce6f3d3f5ec91dfc49fc75a0095f9cd23bab49efb899657297ac91a5
+  md5: 71b24316859acd00bdb8b38f5e2ce328
+  constrains:
+  - vc14_runtime >=14.29.30037
+  - vs2015_runtime >=14.29.30037
+  license: LicenseRef-MicrosoftWindowsSDK10
+  size: 694692
+  timestamp: 1756385147981
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h41ae7f8_34.conda
+  sha256: 9dc40c2610a6e6727d635c62cced5ef30b7b30123f5ef67d6139e23d21744b3a
+  md5: 1e610f2416b6acdd231c5f573d754a0f
+  depends:
+  - vc14_runtime >=14.44.35208
+  track_features:
+  - vc14
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 19356
+  timestamp: 1767320221521
+- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_34.conda
+  sha256: 02732f953292cce179de9b633e74928037fa3741eb5ef91c3f8bae4f761d32a5
+  md5: 37eb311485d2d8b2c419449582046a42
+  depends:
+  - ucrt >=10.0.20348.0
+  - vcomp14 14.44.35208 h818238b_34
+  constrains:
+  - vs2015_runtime 14.44.35208.* *_34
+  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
+  license_family: Proprietary
+  size: 683233
+  timestamp: 1767320219644
+- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_34.conda
+  sha256: 878d5d10318b119bd98ed3ed874bd467acbe21996e1d81597a1dbf8030ea0ce6
+  md5: 242d9f25d2ae60c76b38a5e42858e51d
+  depends:
+  - ucrt >=10.0.20348.0
+  constrains:
+  - vs2015_runtime 14.44.35208.* *_34
+  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
+  license_family: Proprietary
+  size: 115235
+  timestamp: 1767320173250
+- conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.44.35208-h38c0c73_34.conda
+  sha256: 63ff4ec6e5833f768d402f5e95e03497ce211ded5b6f492e660e2bfc726ad24d
+  md5: f276d1de4553e8fca1dfb6988551ebb4
+  depends:
+  - vc14_runtime >=14.44.35208
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 19347
+  timestamp: 1767320221943
 - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda
   sha256: 1b34021e815ff89a4d902d879c3bd2040bc1bd6169b32e9427497fa05c55f1ce
   md5: 75cb7132eb58d97896e173ef12ac9986
@@ -4076,3 +4942,15 @@ packages:
   license_family: BSD
   size: 433413
   timestamp: 1764777166076
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+  sha256: 368d8628424966fd8f9c8018326a9c779e06913dd39e646cf331226acc90e5b2
+  md5: 053b84beec00b71ea8ff7a4f84b55207
+  depends:
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - libzlib >=1.3.1,<2.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 388453
+  timestamp: 1764777142545
diff --git a/pixi.toml b/pixi.toml
index cc37912..941bb00 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -1,7 +1,7 @@
 [workspace]
 name = "build-pyoptsparse"
 channels = ["conda-forge"]
-platforms = ["osx-arm64", "osx-64", "linux-64"]
+platforms = ["osx-arm64", "osx-64", "linux-64", "win-64"]
 
 [dependencies]
 python = ">=3.10"
@@ -12,7 +12,6 @@ meson = "*"
 ninja = "*"
 pip = ">=25.3,<26"
 pyoptsparse = "*"
-compilers = ">=1.11.0,<2"
 
 [feature.py311.dependencies]
 python = "3.11.*"
@@ -26,6 +25,15 @@ python = "3.13.*"
 [feature.py314.dependencies]
 python = "3.14.*"
 
+[target.linux-64.dependencies]
+compilers = ">=1.11.0,<2"
+
+[target.osx-64.dependencies]
+compilers = ">=1.11.0,<2"
+
+[target.osx-arm64.dependencies]
+compilers = ">=1.11.0,<2"
+
 [environments]
 default = ["py313"]
 py311 = ["py311"]