diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 9bd9161..2ffbdf6 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -15,7 +15,7 @@ Types of Contributions
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/hhsecond/mlutil/issues.
+Report bugs at https://github.com/hhsecond/ml2rt/issues.
 
 If you are reporting a bug, please include:
 
@@ -38,14 +38,14 @@ and "help wanted" is open to whoever wants to implement it.
 Write Documentation
 ~~~~~~~~~~~~~~~~~~~
 
-MLutil could always use more documentation, whether as part of the
-official MLutil docs, in docstrings, or even on the web in blog posts,
+ml2rt could always use more documentation, whether as part of the
+official ml2rt docs, in docstrings, or even on the web in blog posts,
 articles, and such.
 
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/hhsecond/mlutil/issues.
+The best way to send feedback is to file an issue at https://github.com/hhsecond/ml2rt/issues.
 
 If you are proposing a feature:
 
@@ -57,17 +57,17 @@ If you are proposing a feature:
 Get Started!
 ------------
 
-Ready to contribute? Here's how to set up `mlutil` for local development.
+Ready to contribute? Here's how to set up `ml2rt` for local development.
 
-1. Fork the `mlutil` repo on GitHub.
+1. Fork the `ml2rt` repo on GitHub.
 2. Clone your fork locally::
 
-    $ git clone git@github.com:your_name_here/mlutil.git
+    $ git clone git@github.com:your_name_here/ml2rt.git
 
 3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
 
-    $ mkvirtualenv mlutil
-    $ cd mlutil/
+    $ mkvirtualenv ml2rt
+    $ cd ml2rt/
     $ python setup.py develop
 
 4. Create a branch for local development::
@@ -79,7 +79,7 @@ Ready to contribute? Here's how to set up `mlutil` for local development.
 5. When you're done making changes, check that your changes pass flake8 and the
    tests, including testing other Python versions with tox::
 
-    $ flake8 mlutil tests
+    $ flake8 ml2rt tests
     $ python setup.py test or py.test
     $ tox
 
@@ -103,7 +103,7 @@ Before you submit a pull request, check that it meets these guidelines:
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
 3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check
-   https://travis-ci.org/hhsecond/mlutil/pull_requests
+   https://travis-ci.org/hhsecond/ml2rt/pull_requests
    and make sure that the tests pass for all supported Python versions.
 
 Tips
@@ -111,7 +111,7 @@ Tips
 
 To run a subset of tests::
 
-$ py.test tests.test_mlutil
+$ py.test tests.test_ml2rt
 
 
 Deploying
diff --git a/README.rst b/README.rst
index 183868e..c02a4fb 100644
--- a/README.rst
+++ b/README.rst
@@ -1,6 +1,6 @@
-=================================
-mlut - Machine Learning utilities
-=================================
+=====================================================
+ml2rt - Utilities for taking ML to different runtimes
+=====================================================
 
 
 Machine learning utilities for model conversion, serialization, loading etc
@@ -13,13 +13,13 @@ Installation
 
 ::
 
-    pip install mlut
+    pip install ml2rt
 
 
 Documentation
 -------------
 
-mlut provides some convenient functions to convert, save & load machine learning models. It currently supports Tensorflow, PyTorch, Sklearn, Spark and ONNX but frameworks like xgboost, coreml are on the way.
+ml2rt provides some convenient functions to convert, save & load machine learning models. It currently supports Tensorflow, PyTorch, Sklearn, Spark and ONNX but frameworks like xgboost, coreml are on the way.
 
 Saving Tensorflow model
 ***********************
@@ -27,7 +27,7 @@ Saving Tensorflow model
 .. code-block:: python
 
     import tensorflow as tf
-    from mlut import save_tensorflow
+    from ml2rt import save_tensorflow
     # train your model here
     sess = tf.Session()
     save_tensorflow(sess, path, output=['output'])
@@ -38,7 +38,7 @@ Saving PyTorch model
 .. code-block:: python
 
     # it has to be a torchscript graph made by tracing / scripting
-    from mlut import save_torch
+    from ml2rt import save_torch
     save_torch(torch_script_graph, path)
 
 Saving ONNX model
@@ -46,7 +46,7 @@ Saving ONNX model
 
 .. code-block:: python
 
-    from mlut import save_onnx
+    from ml2rt import save_onnx
     save_onnx(onnx_model, path)
 
 Saving sklearn model
@@ -54,7 +54,7 @@ Saving sklearn model
 
 .. code-block:: python
 
-    from mlut import save_sklearn
+    from ml2rt import save_sklearn
     prototype = np.array(some_shape, dtype=some_dtype)  # Equivalent to the input of the model
     save_sklearn(sklearn_model, path, prototype=prototype)
 
@@ -74,7 +74,7 @@ Saving sparkml model
 
 .. code-block:: python
 
-    from mlut import save_sparkml
+    from ml2rt import save_sparkml
     prototype = np.array(some_shape, dtype=some_dtype)  # Equivalent to the input of the model
     save_sparkml(spark_model, path, prototype=prototype)
 
@@ -97,6 +97,6 @@ Loading model & script
 
 .. code-block:: python
 
-    model = mlut.load_model(path)
+    model = ml2rt.load_model(path)
 
-    script = mlut.load_script(script)
+    script = ml2rt.load_script(script)
diff --git a/mlut/__init__.py b/ml2rt/__init__.py
similarity index 100%
rename from mlut/__init__.py
rename to ml2rt/__init__.py
diff --git a/mlut/exporter.py b/ml2rt/exporter.py
similarity index 100%
rename from mlut/exporter.py
rename to ml2rt/exporter.py
diff --git a/mlut/importer.py b/ml2rt/importer.py
similarity index 100%
rename from mlut/importer.py
rename to ml2rt/importer.py
diff --git a/mlut/utils.py b/ml2rt/utils.py
similarity index 100%
rename from mlut/utils.py
rename to ml2rt/utils.py
diff --git a/mlut/version.py b/ml2rt/version.py
similarity index 100%
rename from mlut/version.py
rename to ml2rt/version.py
diff --git a/setup.cfg b/setup.cfg
index 2a39e17..dc97b6a 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -7,7 +7,7 @@ tag = True
 search = version='{current_version}'
 replace = version='{new_version}'
 
-[bumpversion:file:mlutil/__init__.py]
+[bumpversion:file:ml2rt/__init__.py]
 search = __version__ = '{current_version}'
 replace = __version__ = '{new_version}'
 
diff --git a/setup.py b/setup.py
index 485fe0d..e35db2f 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,7 @@
 with open('README.rst') as readme_file:
     readme = readme_file.read()
 
-exec(open('mlut/version.py').read())
+exec(open('ml2rt/version.py').read())
 
 requirements = []
 extras_require = {
@@ -41,13 +41,13 @@
     license="Apache Software License 2.0",
     long_description=readme + '\n\n',
     include_package_data=True,
-    keywords='mlut',
-    name='mlut',
-    packages=find_packages(include=['mlut']),
+    keywords='ml2rt',
+    name='ml2rt',
+    packages=find_packages(include=['ml2rt']),
     setup_requires=setup_requirements,
     test_suite='tests',
     tests_require=test_requirements,
-    url='https://github.com/hhsecond/mlut',
-    version=__version__,  # comes from mlut/version.py
+    url='https://github.com/hhsecond/ml2rt',
+    version=__version__,  # comes from ml2rt/version.py
     zip_safe=False,
 )
diff --git a/tests/test_mlut.py b/tests/test_mlut.py
index 647950f..97df0b4 100644
--- a/tests/test_mlut.py
+++ b/tests/test_mlut.py
@@ -2,10 +2,10 @@
 import os
 import sys
 
-from mlut import load_model, load_script
-from mlut import (
+from ml2rt import load_model, load_script
+from ml2rt import (
     save_tensorflow, save_torch, save_onnx, save_sklearn, save_sparkml)
-from mlut import utils
+from ml2rt import utils
 import tensorflow as tf
 import torch
 from sklearn import linear_model, datasets
diff --git a/tox.ini b/tox.ini
index 96eea1e..e826394 100644
--- a/tox.ini
+++ b/tox.ini
@@ -9,7 +9,7 @@ python =
 [testenv:flake8]
 basepython = python
 deps = flake8
-commands = flake8 mlutil
+commands = flake8 ml2rt
 
 [testenv]
 setenv =