diff --git a/.buildkite/pipeline.yml b/.buildkite/pipeline.yml
index 4062b67..224ec0e 100644
--- a/.buildkite/pipeline.yml
+++ b/.buildkite/pipeline.yml
@@ -29,4 +29,4 @@ env:
   RETESTITEMS_NWORKER_THREADS: 2
   JULIA_AMDGPU_LOGGING_ENABLED: true
   RETESTITEMS_TESTITEM_TIMEOUT: 10000
-  SECRET_CODECOV_TOKEN: "NkRNr3aGg3k4bKi07RGhGdhhsPV8t97y0VASfmra5BzT+6h/S+hEZ6p7U6SE0/1LQrHxRBy9vaWiwF+VW1ZHk7KMUetuOYmymXON/AUBbiE4LsfFOVwrna7U0kuqWHZbdKn8XAJxu6au1uRMrOXPXw176KkuWRzwF/jLWvvv7s+KqX4oaiDirXxGCRSssVizT2hdWkkrtct+GjLeF/g9jgGa8xn8j2Pp8AS62EPMoC/YKgV/e3yK58LSOKOBF+1ddvYzaFoDABkNMehHA52MNXgDoxikTc0YGnd8nMGfTUiRPaNLHRQaXS/M0oaVT7PkXFlJe6O6izCnkIx2+Ix57w==;U2FsdGVkX1/k+16T0rj/Tntc6gOaH8GwRDvncs1a+BwbnnnnXeAmiwvbowfRSnoldKtpHhJcwLQLbXFDXD8U6g=="
+  SECRET_CODECOV_TOKEN: "zLFPthE27DkLNSAv2AWwzWtPIyEFzhsPtiDMN9NNm34ZPUVMeGn1dDhZwzpMCnQs0GbwUUYFkPiZhp52xhaxCWIrgy1vazeuiqZxxoDlkBPlrwe9afa3HpFDoFG2CAAv8UZtWM7U5XpKyUCFQX9iQ89RgkXpU4bV7U0342PEqBl7zG/mVkBWbkJA0Tf7HWTCdxJ2YbNHuMnErahMLL2u7vKRrN+jwzhuYbHU3bWNqgyh+DI3AONhUy+2ClKb3JKJYBlYpwcdPuF2M0dV7Rgd7MuNXFZ1uiuPOSRLjuGU44c1OU67GDye4HkVNgWZaOhw5ccSnTD2WBBrklnXc9Uy1w==;U2FsdGVkX19q4a438CUZNXPYDrkhPFYW7x8VZRVePbU9l0hswT4iZjZyJNxxVryjgDm89v3wFNBaBpa3dEabaw=="
diff --git a/ext/BatchedRoutinesReverseDiffExt.jl b/ext/BatchedRoutinesReverseDiffExt.jl
index ad8de30..fae9a5d 100644
--- a/ext/BatchedRoutinesReverseDiffExt.jl
+++ b/ext/BatchedRoutinesReverseDiffExt.jl
@@ -25,6 +25,9 @@ function BatchedRoutines.batched_jacobian(
     return BatchedRoutines.batched_jacobian(ad, f, ArrayInterface.aos_to_soa(x))
 end
 
+ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_jacobian(
+    ad, f, x::ReverseDiff.TrackedArray)
+
 function BatchedRoutines.batched_jacobian(
         ad, f::F, x::AbstractArray{<:ReverseDiff.TrackedReal},
         p::AbstractArray{<:ReverseDiff.TrackedReal}) where {F}
@@ -37,8 +40,10 @@ function BatchedRoutines.batched_jacobian(
     return BatchedRoutines.batched_jacobian(ad, f, x, ArrayInterface.aos_to_soa(p))
 end
 
-ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_jacobian(
-    ad, f, x::ReverseDiff.TrackedArray)
+function BatchedRoutines.batched_jacobian(
+        ad, f::F, x::AbstractArray{<:ReverseDiff.TrackedReal}, p::AbstractArray) where {F}
+    return BatchedRoutines.batched_jacobian(ad, f, ArrayInterface.aos_to_soa(x), p)
+end
 
 ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_jacobian(
     ad, f, x::ReverseDiff.TrackedArray, p::ReverseDiff.TrackedArray)
@@ -49,7 +54,39 @@ ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_jacobian(
 ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_jacobian(
     ad, f, x::ReverseDiff.TrackedArray, p)
 
-# TODO: Fix the gradient call over ReverseDiff
+function BatchedRoutines.batched_gradient(
+        ad, f::F, x::AbstractArray{<:ReverseDiff.TrackedReal}) where {F}
+    return BatchedRoutines.batched_gradient(ad, f, ArrayInterface.aos_to_soa(x))
+end
+
+ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_gradient(
+    ad, f, x::ReverseDiff.TrackedArray)
+
+function BatchedRoutines.batched_gradient(
+        ad, f::F, x::AbstractArray{<:ReverseDiff.TrackedReal},
+        p::AbstractArray{<:ReverseDiff.TrackedReal}) where {F}
+    return BatchedRoutines.batched_gradient(
+        ad, f, ArrayInterface.aos_to_soa(x), ArrayInterface.aos_to_soa(p))
+end
+
+function BatchedRoutines.batched_gradient(
+        ad, f::F, x::AbstractArray, p::AbstractArray{<:ReverseDiff.TrackedReal}) where {F}
+    return BatchedRoutines.batched_gradient(ad, f, x, ArrayInterface.aos_to_soa(p))
+end
+
+function BatchedRoutines.batched_gradient(
+        ad, f::F, x::AbstractArray{<:ReverseDiff.TrackedReal}, p::AbstractArray) where {F}
+    return BatchedRoutines.batched_gradient(ad, f, ArrayInterface.aos_to_soa(x), p)
+end
+
+ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_gradient(
+    ad, f, x::ReverseDiff.TrackedArray, p::ReverseDiff.TrackedArray)
+
+ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_gradient(
+    ad, f, x, p::ReverseDiff.TrackedArray)
+
+ReverseDiff.@grad_from_chainrules BatchedRoutines.batched_gradient(
+    ad, f, x::ReverseDiff.TrackedArray, p)
 
 @concrete struct ReverseDiffPullbackFunction <: Function
     tape