diff --git a/OpenNest.Posts.Cincinnati/SpeedClassifier.cs b/OpenNest.Posts.Cincinnati/SpeedClassifier.cs
new file mode 100644
index 0000000..6c7e66c
--- /dev/null
+++ b/OpenNest.Posts.Cincinnati/SpeedClassifier.cs
@@ -0,0 +1,31 @@
+namespace OpenNest.Posts.Cincinnati
+{
+    public sealed class SpeedClassifier
+    {
+        public double FastThreshold { get; set; } = 0.5;
+        public double SlowThreshold { get; set; } = 0.1;
+
+        public string Classify(double contourLength, double sheetDiagonal)
+        {
+            var ratio = contourLength / sheetDiagonal;
+            if (ratio > FastThreshold) return "FAST";
+            if (ratio <= SlowThreshold) return "SLOW";
+            return "MEDIUM";
+        }
+
+        public string FormatCutDist(double contourLength, double sheetDiagonal)
+        {
+            return $"CutDist={FormatValue(contourLength)}/{FormatValue(sheetDiagonal)}";
+        }
+
+        private static string FormatValue(double value)
+        {
+            // Cincinnati convention: no leading zero for values < 1 (e.g., ".8702" not "0.8702")
+            var rounded = System.Math.Round(value, 4);
+            var str = rounded.ToString("0.####");
+            if (rounded > 0 && rounded < 1 && str.StartsWith("0."))
+                return str.Substring(1);
+            return str;
+        }
+    }
+}
diff --git a/OpenNest.Tests/Cincinnati/SpeedClassifierTests.cs b/OpenNest.Tests/Cincinnati/SpeedClassifierTests.cs
new file mode 100644
index 0000000..e88ef09
--- /dev/null
+++ b/OpenNest.Tests/Cincinnati/SpeedClassifierTests.cs
@@ -0,0 +1,26 @@
+using OpenNest.Posts.Cincinnati;
+
+namespace OpenNest.Tests.Cincinnati;
+
+public class SpeedClassifierTests
+{
+    [Theory]
+    [InlineData(20.0, 10.0, "FAST")]
+    [InlineData(5.0, 10.0, "MEDIUM")]
+    [InlineData(0.5, 10.0, "SLOW")]
+    public void Classify_ReturnsExpectedClass(double contourLength, double sheetDiagonal, string expected)
+    {
+        var classifier = new SpeedClassifier();
+        Assert.Equal(expected, classifier.Classify(contourLength, sheetDiagonal));
+    }
+
+    [Theory]
+    [InlineData(0.8702, 3.927, "CutDist=.8702/3.927")]
+    [InlineData(18.9722, 3.927, "CutDist=18.9722/3.927")]
+    [InlineData(0.0, 10.0, "CutDist=0/10")]
+    public void FormatCutDist_IncludesLengthAndDiagonal(double contour, double diag, string expected)
+    {
+        var classifier = new SpeedClassifier();
+        Assert.Equal(expected, classifier.FormatCutDist(contour, diag));
+    }
+}