diff --git a/website/meta/universe.json b/website/meta/universe.json
index e36ba5676..f2b199275 100644
--- a/website/meta/universe.json
+++ b/website/meta/universe.json
@@ -1,5 +1,28 @@
 {
     "resources": [
+        {
+            "id": "parsigs",
+            "title": "parsigs",
+            "slogan": "Structuring prescriptions text made simple using spaCy",
+            "description": "Parsigs is an open-source project that aims to extract the relevant dosage information from prescriptions text without compromising the patient's privacy.\n\nNotice you also need to install the model in order to use the package: `pip install https://huggingface.co/royashcenazi/en_parsigs/resolve/main/en_parsigs-any-py3-none-any.whl`",
+            "github": "royashcenazi/parsigs",
+            "pip": "parsigs",
+            "code_language": "python",
+            "author": "Roy Ashcenazi",
+            "code_example": [
+                "# You'll need to install the trained model, see instructions in the description section",
+                "from parsigs.parse_sig_api import StructuredSig, SigParser",
+                "sig_parser = SigParser()",
+                "",
+                "sig = 'Take 1 tablet of ibuprofen 200mg 3 times every day for 3 weeks'",
+                "parsed_sig = sig_parser.parse(sig)"
+            ],
+            "author_links": {
+                "github": "royashcenazi"
+            },
+            "category": ["model", "research"],
+            "tags": ["sigs", "prescription","pharma"]
+        },
         {
             "id": "latincy",
             "title": "LatinCy",
@@ -26,7 +49,7 @@
             },
             "category": ["pipeline", "research"],
             "tags": ["latin"]
-        },   
+        },
         {
             "id": "spacy-wasm",
             "title": "spacy-wasm",