diff --git a/pyproject.toml b/pyproject.toml
index 1d558a6e6..6f1d03fb6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -95,6 +95,12 @@ chunkedgraph = [
   # conda install -c conda-forge graph-tool-base
 ]
 convnet = ["torch >= 2.0", "onnx2torch", "nvidia-ml-py >= 13.580"]
+pointcloud = [
+  "zetta_utils[convnet]",
+  "pointnet >= 0.1.1",
+  # torch-geometric is optional for DGCNN; install separately if needed:
+  # pip install torch-geometric
+]
 databackends = ["google-cloud-datastore", "google-cloud-firestore"]
 docs = [
   "piccolo_theme >= 0.24.0",
@@ -166,6 +172,7 @@ modules = [
   "zetta_utils[meshing]",
   "zetta_utils[skeletonization]",
   "zetta_utils[chunkedgraph]",
+  "zetta_utils[pointcloud]",
 ]
 montaging = ["zetta_utils[cloudvol, databackends, mazepa]", "torch >= 2.0"]
 public = [
diff --git a/requirements.all.txt b/requirements.all.txt
index db588cc2b..26843420f 100644
--- a/requirements.all.txt
+++ b/requirements.all.txt
@@ -126,7 +126,9 @@ cloud-volume==12.8.0
     #   meshparty
     #   pcg-skel
 colorama==0.4.6
-    # via awscli
+    # via
+    #   awscli
+    #   taichi
 colorlog==6.10.1
     # via trimesh
 comm==0.2.3
@@ -183,6 +185,7 @@ dill==0.4.0
     #   multiprocess
     #   pathos
     #   pylint
+    #   taichi
 distlib==0.4.0
     # via virtualenv
 docker==7.1.0
@@ -213,7 +216,9 @@ edt==3.1.0
     #   fastmorph
     #   kimimaro
 einops==0.8.1
-    # via zetta-utils (pyproject.toml)
+    # via
+    #   zetta-utils (pyproject.toml)
+    #   pointnet
 embreex==2.17.7.post7
     # via trimesh
 executing==2.2.1
@@ -663,6 +668,7 @@ numpy==2.3.5
     #   shapely
     #   simplejpeg
     #   tables
+    #   taichi
     #   task-queue
     #   tensorstore
     #   tifffile
@@ -821,6 +827,8 @@ pluggy==1.6.0
     # via
     #   pytest
     #   pytest-cov
+pointnet==0.1.1
+    # via zetta-utils (pyproject.toml)
 posix-ipc==1.3.2
     # via cloud-volume
 pox==0.3.6
@@ -1015,7 +1023,9 @@ responses==0.25.8
 rfc3339==6.2
     # via python-logging-loki
 rich==14.2.0
-    # via zetta-utils (pyproject.toml)
+    # via
+    #   zetta-utils (pyproject.toml)
+    #   taichi
 roman==5.2
     # via sphinx-toolbox
 rpds-py==0.30.0
@@ -1174,6 +1184,8 @@ tabulate==0.9.0
     # via
     #   zetta-utils (pyproject.toml)
     #   sphinx-toolbox
+taichi==1.7.4
+    # via pointnet
 task-queue==2.14.3
     # via zetta-utils (pyproject.toml)
 tenacity==9.1.2
@@ -1204,6 +1216,7 @@ torch==2.9.1
     #   kornia
     #   lightning
     #   onnx2torch
+    #   pointnet
     #   pytorch-lightning
     #   torchfields
     #   torchmetrics
diff --git a/zetta_utils/convnet/CLAUDE.md b/zetta_utils/convnet/CLAUDE.md
index bd2bc953e..55886c946 100644
--- a/zetta_utils/convnet/CLAUDE.md
+++ b/zetta_utils/convnet/CLAUDE.md
@@ -5,7 +5,7 @@ PyTorch-based neural network utilities for connectomics and computer vision work
 ## Core Components
 Model Management (utils.py): load_model() (supports loading models from JSON builder format, JIT, and ONNX formats), load_weights_file() (loads pre-trained weights with component filtering), save_model() (saves model state dictionaries), load_and_run_model() (convenience function for inference with automatic type conversion)
 
-Architecture Components (architecture/): ConvBlock (flexible convolutional block with residual connections, normalization, and activation), UNet (complete U-Net implementation with skip connections sum/concat modes), Primitives (extensive collection of neural network building blocks)
+Architecture Components (architecture/): ConvBlock (flexible convolutional block with residual connections, normalization, and activation), UNet (complete U-Net implementation with skip connections sum/concat modes), Primitives (extensive collection of neural network building blocks), Point Cloud Networks (PointNet, PointNet++)
 
 Inference Runner (simple_inference_runner.py): SimpleInferenceRunner (cached inference runner with GPU memory management), supports 2D/3D operations, sigmoid activation, and zero-skipping optimizations
 
@@ -16,9 +16,13 @@ UNet Architecture: Traditional U-Net with encoder-decoder structure, configurabl
 
 Primitive Components: Tensor Operations (View, Flatten, Unflatten, Crop, CenterCrop), Pooling (MaxPool2DFlatten, AvgPool2DFlatten), Utilities (RescaleValues, Clamp, UpConv, SplitTuple), Multi-head (MultiHeaded, MultiHeadedOutput for multi-task learning)
 
+Point Cloud Networks (pointcloud.py): PointNet/PointNet++ (wraps pointnet package for classification and segmentation)
+
 ## Builder Registrations
 Core Components: ConvBlock (versioned >=0.0.2), UNet (versioned >=0.0.2), SimpleInferenceRunner, load_model, load_weights_file
 
+Point Cloud (requires pip install zetta_utils[pointcloud]): pointnet.PointNetCls, pointnet.PointNetSeg, pointnet.PointNet2ClsSSG, pointnet.PointNet2SegSSG, pointnet.PointNet2ClsMSG, pointnet.PointNet2SegMSG, pointnet.STN
+
 PyTorch Integrations: All torch.nn.* classes auto-registered, All torch.optim.* classes auto-registered, PyTorch functional operations registered, custom builders for Sequential, Upsample, GroupNorm
 
 Primitive Components: 15+ custom layer types registered, tensor manipulation utilities, pooling and cropping operations
diff --git a/zetta_utils/convnet/architecture/__init__.py b/zetta_utils/convnet/architecture/__init__.py
index 0088bc443..c340e84e1 100644
--- a/zetta_utils/convnet/architecture/__init__.py
+++ b/zetta_utils/convnet/architecture/__init__.py
@@ -2,3 +2,8 @@
 from .convblock import ConvBlock
 from .unet import UNet
 from . import deprecated
+
+try:
+    from . import pointcloud
+except ImportError:
+    pass
diff --git a/zetta_utils/convnet/architecture/pointcloud.py b/zetta_utils/convnet/architecture/pointcloud.py
new file mode 100644
index 000000000..793d81a39
--- /dev/null
+++ b/zetta_utils/convnet/architecture/pointcloud.py
@@ -0,0 +1,13 @@
+from __future__ import annotations
+
+import pointnet
+
+from zetta_utils import builder
+
+builder.register("pointnet.PointNetCls")(pointnet.PointNetCls)
+builder.register("pointnet.PointNetSeg")(pointnet.PointNetSeg)
+builder.register("pointnet.PointNet2ClsSSG")(pointnet.PointNet2ClsSSG)
+builder.register("pointnet.PointNet2SegSSG")(pointnet.PointNet2SegSSG)
+builder.register("pointnet.PointNet2ClsMSG")(pointnet.PointNet2ClsMSG)
+builder.register("pointnet.PointNet2SegMSG")(pointnet.PointNet2SegMSG)
+builder.register("pointnet.STN")(pointnet.STN)
diff --git a/zetta_utils/internal b/zetta_utils/internal
index 6016b81e0..49f871cc1 160000
--- a/zetta_utils/internal
+++ b/zetta_utils/internal
@@ -1 +1 @@
-Subproject commit 6016b81e0c3db3afed5bcbc74aef9a5197aceee4
+Subproject commit 49f871cc1739fe6f0fbbdfe25793011de80d7091