diff --git a/testbed_example/config/services.yml b/testbed_example/config/services.yml
index 700fa363..c0db8682 100644
--- a/testbed_example/config/services.yml
+++ b/testbed_example/config/services.yml
@@ -1,8 +1,8 @@
 simulator:
-  service_type: simple_simulator
+  service_type: example_simulator
   requires_safety: false
 
-science_camera:
+detector:
   service_type: allied_vision_camera
   simulated_service_type: camera_sim
   interface: camera
diff --git a/testbed_example/config/simulator.yml b/testbed_example/config/simulator.yml
new file mode 100644
index 00000000..fc954351
--- /dev/null
+++ b/testbed_example/config/simulator.yml
@@ -0,0 +1,7 @@
+pupil_mask:
+  diameter: 1
+  grid_size: 1.1
+
+detector:
+  pixel_size: 6.5e-6
+  roi: 400
diff --git a/testbed_example/config/testbed.yml b/testbed_example/config/testbed.yml
index 0396e89c..e8eb06cf 100644
--- a/testbed_example/config/testbed.yml
+++ b/testbed_example/config/testbed.yml
@@ -1,6 +1,6 @@
 default_port: 1234
 simulator:
-  service_id: simple_simulator
+  service_id: example_simulator
 startup_services: []
 base_data_path:
   default: !path "~/catkit2_example_data"
diff --git a/testbed_example/example_optical_model.py b/testbed_example/example_optical_model.py
new file mode 100644
index 00000000..05991598
--- /dev/null
+++ b/testbed_example/example_optical_model.py
@@ -0,0 +1,52 @@
+from catkit2.simulator import OpticalModel, with_cached_result
+import hcipy
+import numpy as np
+
+
+class ExampleOpticalModel(OpticalModel):
+    """An example optical model for use with the example testbed.
+
+    This class simulates a simple pupil mask and simple science camera. All parameters are read from
+    the simulator configuration file, testbed_example/config/simulator.yml.
+    """
+    def __init__(self, config):
+        super().__init__()
+
+        self.config = config
+
+        @self.register_plane('detector', 'pupil')
+        def detector(wf):
+            return self.prop(wf)
+
+        @self.register_plane('pupil', 'light_source')
+        def pupil(wf):
+            return self.pupil_mask(wf)
+
+    @property
+    def pupil_grid(self):
+        dimensions = self.config['pupil_mask']['dimensions']
+        dims = np.array([dimensions, dimensions])
+        size = self.config['pupil_mask']['grid_size']
+
+        return hcipy.make_uniform_grid(dims, size)
+
+    @property
+    def detector_grid(self):
+        roi = self.config['detector']['roi']
+        dims = np.array([roi, roi])
+        pixel_size = self.config['detector']['pixel_size']
+
+        return hcipy.make_uniform_grid(dims, dims * pixel_size)
+
+    @property
+    @with_cached_result
+    def prop(self):
+        return hcipy.FraunhoferPropagator(self.pupil_grid, self.detector_grid)
+
+    @property
+    @with_cached_result
+    def pupil_mask(self):
+        diameter = self.config['pupil_mask']['diameter']
+        mask = hcipy.circular_aperture(diameter)(self.pupil_grid)
+
+        return hcipy.Apodizer(mask)
diff --git a/testbed_example/services/example_simulator/example_simulator.py b/testbed_example/services/example_simulator/example_simulator.py
new file mode 100644
index 00000000..65a45a3f
--- /dev/null
+++ b/testbed_example/services/example_simulator/example_simulator.py
@@ -0,0 +1,40 @@
+from catkit2.simulator import Simulator
+from testbed_example.example_optical_model import ExampleOpticalModel
+import hcipy
+
+
+class ExampleSimulator(Simulator):
+    """A very simple example simulator for the example testbed.
+
+    This service provides the simulator interface to the connected optical model.
+    """
+    def __init__(self):
+        super().__init__('example_simulator')
+
+    def open(self):
+        self.model = ExampleOpticalModel()
+        wavefronts = [hcipy.Wavefront(self.model.pupil_grid.ones() * 1e6)]
+        self.model.set_wavefronts('pre_pupil', wavefronts)
+
+        self.images = self.make_data_stream('images', 'float64', self.model.focal_grid.shape, 20)
+
+    def camera_readout(self, camera_name, power):
+        image = power.shaped
+        image = hcipy.large_poisson(image)
+        image[image > 2**16] = 2**16
+        image = image.astype('float32')
+
+        try:
+            self.testbed.detector.images.update_parameters('float32', image.shape, 20)
+            self.testbed.detector.images.submit_data(image)
+        except Exception as e:
+            self.log.error(str(e))
+
+    def get_camera_power(self, camera_name):
+        wavefronts = self.model.get_wavefronts(camera_name)
+        return sum(wf.power for wf in wavefronts)
+
+
+if __name__ == '__main__':
+    service = ExampleSimulator()
+    service.run()