diff --git a/cognee/eval_framework/modal_run_eval.py b/cognee/eval_framework/modal_run_eval.py
index 77345fe428..8af45c73b1 100644
--- a/cognee/eval_framework/modal_run_eval.py
+++ b/cognee/eval_framework/modal_run_eval.py
@@ -47,7 +47,7 @@ def read_and_combine_metrics(eval_params: dict) -> dict:
         }
     )
     .poetry_install_from_file(poetry_pyproject_toml="pyproject.toml")
-    .pip_install("protobuf", "h2", "deepeval", "gdown", "plotly")
+    .pip_install("protobuf", "h2", "deepeval", "gdown", "plotly", "unstructured")
 )
 
 
diff --git a/cognee/tests/evaluation/modal_run_regular_eval.py b/cognee/tests/evaluation/modal_run_regular_eval.py
new file mode 100644
index 0000000000..c612741f5f
--- /dev/null
+++ b/cognee/tests/evaluation/modal_run_regular_eval.py
@@ -0,0 +1,62 @@
+from cognee.eval_framework.modal_run_eval import read_and_combine_metrics, image
+from cognee.eval_framework.eval_config import EvalConfig
+import modal
+import logging
+from cognee.eval_framework.corpus_builder.run_corpus_builder import run_corpus_builder
+from cognee.eval_framework.answer_generation.run_question_answering_module import (
+    run_question_answering,
+)
+from cognee.eval_framework.evaluation.run_evaluation_module import run_evaluation
+import json
+
+
+logger = logging.getLogger(__name__)
+
+app = modal.App("cognee-regular-eval")
+
+
+@app.function(image=image, max_containers=2, timeout=1800, retries=3)
+async def modal_run_eval(eval_params=None):
+    """Runs evaluation pipeline and returns combined metrics results."""
+
+    if eval_params is None:
+        eval_params = EvalConfig().to_dict()
+
+    logger.info(f"Running evaluation with params: {eval_params}")
+
+    # Run the evaluation pipeline
+    await run_corpus_builder(eval_params)
+    await run_question_answering(eval_params)
+    await run_evaluation(eval_params)
+
+    # Early return if metrics calculation wasn't requested
+    if not eval_params.get("evaluating_answers") or not eval_params.get("calculate_metrics"):
+        logger.info(
+            "Skipping metrics collection as either evaluating_answers or calculate_metrics is False"
+        )
+        return None
+
+    return read_and_combine_metrics(eval_params)
+
+
+@app.local_entrypoint()
+async def main():
+    config = EvalConfig(
+        task_getter_type="Default",
+        benchmark="HotPotQA",
+        number_of_samples_in_corpus=50,
+        building_corpus_from_scratch=True,
+        answering_questions=True,
+        qa_engine="cognee_graph_completion",
+        evaluating_answers=True,
+        calculate_metrics=True,
+        dashboard=False,
+    )
+
+    results = await modal_run_eval.remote.aio(config.to_dict())
+
+    output_file = "metrics_output.json"
+    with open(output_file, "w") as f:
+        json.dump(results, f, indent=4)
+
+    logger.info(f"Completed parallel evaluation runs. Results saved to {output_file}")
diff --git a/cognee/tests/evaluation/send_results_to_segment.py b/cognee/tests/evaluation/send_results_to_segment.py
new file mode 100644
index 0000000000..82865e6b91
--- /dev/null
+++ b/cognee/tests/evaluation/send_results_to_segment.py
@@ -0,0 +1,55 @@
+import os
+import logging
+import json
+from dotenv import load_dotenv
+import argparse
+from cognee.shared.utils import setup_logging
+import segment.analytics as analytics
+import datetime
+
+load_dotenv()
+
+setup_logging(logging.INFO)
+
+SEGMENT_WRITE_KEY = os.getenv("SEGMENT_WRITE_KEY_EVAL")
+analytics.write_key = SEGMENT_WRITE_KEY
+
+
+def send_event_to_segment(results):
+    created_at = datetime.datetime.now(datetime.timezone.utc).isoformat() + "Z"
+
+    properties = {
+        f"mean_{key}": results["aggregate_metrics"][key]["mean"]
+        for key in results["aggregate_metrics"].keys()
+    }
+    properties["created_at"] = created_at
+
+    # Send event to Segment
+    analytics.track(
+        user_id="evalresults_ingest_bot",  # Unique identifier for the event
+        event="cognee_eval_results",
+        properties=properties,
+    )
+
+    # Ensure all events are sent
+    analytics.flush()
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--filename",
+        default="metrics_output.json",
+        help="The filename of the results to send to PostHog.",
+    )
+    args = parser.parse_args()
+    with open(args.filename, "r") as f:
+        results = json.load(f)
+    logging.info(
+        f"results loaded, mean correctness {results['aggregate_metrics']['correctness']['mean']}"
+    )
+    send_event_to_segment(results)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/poetry.lock b/poetry.lock
index 62490ceb2b..93a83813ea 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3853,8 +3853,6 @@ groups = ["main"]
 markers = "python_version <= \"3.11\" or python_version == \"3.12\" or python_version >= \"3.13\""
 files = [
     {file = "jsonpath-ng-1.7.0.tar.gz", hash = "sha256:f6f5f7fd4e5ff79c785f1573b394043b39849fb2bb47bcead935d12b00beab3c"},
-    {file = "jsonpath_ng-1.7.0-py2-none-any.whl", hash = "sha256:898c93fc173f0c336784a3fa63d7434297544b7198124a68f9a3ef9597b0ae6e"},
-    {file = "jsonpath_ng-1.7.0-py3-none-any.whl", hash = "sha256:f3d7f9e848cba1b6da28c55b1c26ff915dc9e0b1ba7e752a53d6da8d5cbd00b6"},
 ]
 
 [package.dependencies]
@@ -7427,7 +7425,6 @@ files = [
     {file = "psycopg2-2.9.10-cp311-cp311-win_amd64.whl", hash = "sha256:0435034157049f6846e95103bd8f5a668788dd913a7c30162ca9503fdf542cb4"},
     {file = "psycopg2-2.9.10-cp312-cp312-win32.whl", hash = "sha256:65a63d7ab0e067e2cdb3cf266de39663203d38d6a8ed97f5ca0cb315c73fe067"},
     {file = "psycopg2-2.9.10-cp312-cp312-win_amd64.whl", hash = "sha256:4a579d6243da40a7b3182e0430493dbd55950c493d8c68f4eec0b302f6bbf20e"},
-    {file = "psycopg2-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:91fd603a2155da8d0cfcdbf8ab24a2d54bca72795b90d2a3ed2b6da8d979dee2"},
     {file = "psycopg2-2.9.10-cp39-cp39-win32.whl", hash = "sha256:9d5b3b94b79a844a986d029eee38998232451119ad653aea42bb9220a8c5066b"},
     {file = "psycopg2-2.9.10-cp39-cp39-win_amd64.whl", hash = "sha256:88138c8dedcbfa96408023ea2b0c369eda40fe5d75002c0964c78f46f11fa442"},
     {file = "psycopg2-2.9.10.tar.gz", hash = "sha256:12ec0b40b0273f95296233e8750441339298e6a572f7039da5b260e3c8b60e11"},
@@ -9397,6 +9394,28 @@ dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodest
 doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.16.5)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
 test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
+[[package]]
+name = "segment-analytics-python"
+version = "2.3.3"
+description = "The hassle-free way to integrate analytics into any python application."
+optional = true
+python-versions = ">=3.6.0"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version == \"3.12\" or python_version >= \"3.13\") and extra == \"analytics\""
+files = [
+    {file = "segment-analytics-python-2.3.3.tar.gz", hash = "sha256:ce6b3b4387ec9ebc5b55842c44d7dd63b4d4b0b8188e268c4492f909e5eeeed8"},
+    {file = "segment_analytics_python-2.3.3-py2.py3-none-any.whl", hash = "sha256:769251706d71f4c96d2039391d119222dbd9faf00308400f7b314ec9fb86cfc7"},
+]
+
+[package.dependencies]
+backoff = ">=2.1,<3.0"
+PyJWT = ">=2.8,<3.0"
+python-dateutil = ">=2.2,<3.0"
+requests = ">=2.7,<3.0"
+
+[package.extras]
+test = ["flake8 (==3.7.9)", "mock (==2.0.0)", "pylint (==2.8.0)"]
+
 [[package]]
 name = "semver"
 version = "3.0.4"
@@ -11578,6 +11597,7 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 type = ["pytest-mypy"]
 
 [extras]
+analytics = ["segment-analytics-python"]
 codegraph = ["fastembed", "transformers", "tree-sitter", "tree-sitter-python"]
 deepeval = ["deepeval"]
 docs = ["unstructured"]
@@ -11605,4 +11625,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<=3.13"
-content-hash = "085d7e0eeca17bbb667b0a7b775a8859bf68611983ac665d4a3585f9c59ca68e"
+content-hash = "b6b3883f5ac24c530666b9c583ceba72bb3e26087c803c14c7338dce7be83659"
diff --git a/pyproject.toml b/pyproject.toml
index 44e9692ec7..616977ba91 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -90,6 +90,7 @@ pyside6 = {version = "^6.8.2.1", optional = true}
 qasync = {version = "^0.27.1", optional = true}
 graphiti-core = {version = "^0.7.0", optional = true}
 owlready2 = "^0.47"
+segment-analytics-python = { version = "2.3.3", optional = true }
 
 
 [tool.poetry.extras]
@@ -116,6 +117,8 @@ codegraph = ["fastembed", "transformers", "tree-sitter", "tree-sitter-python"]
 evals = ["plotly", "gdown"]
 gui = ["pyside6", "qasync"]
 graphiti = ["graphiti-core"]
+analytics = ["segment-analytics-python"]
+
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.0"