diff --git a/.travis.yml b/.travis.yml
index c90da84d2..2a0295156 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -21,7 +21,9 @@ install:
   - "mv WordNet-3.0 wordnet"
   - "cd ../../"
   - "export PYTHONPATH=`pwd`"
-  - "python bin/init_model.py en lang_data/ corpora/ spacy/en/data"
+  - "python bin/init_model.py en lang_data/ corpora/ data"
+  - "sputnik build ."
+  - "sputnik install en_default-*.sputnik"
 
 # run tests
 script:
diff --git a/package.json b/package.json
new file mode 100644
index 000000000..563009699
--- /dev/null
+++ b/package.json
@@ -0,0 +1,10 @@
+{
+    "name": "en_default",
+    "version": "0.99.0",
+    "description": "english default model",
+    "license": "public domain",
+    "include": ["data/**/*"],
+    "compatibility": {
+        "spacy": "==0.99.0"
+    }
+}
diff --git a/spacy/language.py b/spacy/language.py
index 2dce0ea0d..83b91cdca 100644
--- a/spacy/language.py
+++ b/spacy/language.py
@@ -144,13 +144,15 @@ class Language(object):
 
     @classmethod
     def default_parser(cls, package, vocab):
-        data_dir = package.dir_path('data', 'deps')
-        return Parser.from_dir(data_dir, vocab.strings, ArcEager)
+        data_dir = package.dir_path('data', 'deps', require=False)
+        if data_dir and path.exists(data_dir):
+            return Parser.from_dir(data_dir, vocab.strings, ArcEager)
 
     @classmethod
     def default_entity(cls, package, vocab):
-        data_dir = package.dir_path('data', 'ner')
-        return Parser.from_dir(data_dir, vocab.strings, BiluoPushDown)
+        data_dir = package.dir_path('data', 'ner', require=False)
+        if data_dir and path.exists(data_dir):
+            return Parser.from_dir(data_dir, vocab.strings, BiluoPushDown)
 
     def __init__(self, package=None, vocab=None, tokenizer=None, tagger=None,
                  parser=None, entity=None, matcher=None, serializer=None,
diff --git a/spacy/tagger.pyx b/spacy/tagger.pyx
index 91f574348..1c345c6e8 100644
--- a/spacy/tagger.pyx
+++ b/spacy/tagger.pyx
@@ -155,7 +155,8 @@ cdef class Tagger:
         model = TaggerModel(vocab.morphology.n_tags,
             ConjunctionExtracter(N_CONTEXT_FIELDS, templates))
 
-        model.load(package.file_path('data', 'pos', 'model', require=False))  # TODO: really optional?
+        if package.has_file('data', 'pos', 'model'):  # TODO: really optional?
+            model.load(package.file_path('data', 'pos', 'model'))
 
         return cls(vocab, model)