diff --git a/examples/l1_qp.py b/examples/l1_qp.py
index a6d792bd..efce0e4d 100644
--- a/examples/l1_qp.py
+++ b/examples/l1_qp.py
@@ -1,5 +1,5 @@
 """
-Solve an L1-penalized QP using PROXNLP.
+Solve an L1-penalized QP using proxsuite_nlp.
 """
 import proxsuite_nlp
 import numpy as np
diff --git a/examples/solo_inverse_geom.py b/examples/solo_inverse_geom.py
index e7b4ed1a..ba70fa46 100644
--- a/examples/solo_inverse_geom.py
+++ b/examples/solo_inverse_geom.py
@@ -1,6 +1,6 @@
 """
 Inverse kinematics with friction cone constraint.
-We compare PROXNLP with the solver IPOPT.
+We compare proxsuite_nlp with the solver IPOPT.
 
 min Dq, f || q - q0 ||**2 + || f ||**2
 
@@ -213,7 +213,7 @@ def compute_cost(q_ref, fs):
     viz.display(qopt_ipopt)
 
 
-# Problem PROXNLP
+# Problem proxsuite_nlp
 
 xspace = MultibodyPhaseSpace(model)
 pb_space = VectorSpace(4 * 3 + (xspace.ndx))