diff --git a/cpp/src/mip/CMakeLists.txt b/cpp/src/mip/CMakeLists.txt
index 8e72ca70e..e694a9f6f 100644
--- a/cpp/src/mip/CMakeLists.txt
+++ b/cpp/src/mip/CMakeLists.txt
@@ -21,6 +21,7 @@ set(MIP_LP_NECESSARY_FILES
   ${CMAKE_CURRENT_SOURCE_DIR}/solver_solution.cu
   ${CMAKE_CURRENT_SOURCE_DIR}/local_search/rounding/simple_rounding.cu
   ${CMAKE_CURRENT_SOURCE_DIR}/presolve/third_party_presolve.cpp
+  ${CMAKE_CURRENT_SOURCE_DIR}/presolve/gf2_presolve.cpp
   ${CMAKE_CURRENT_SOURCE_DIR}/solution/solution.cu
 )
 
diff --git a/cpp/src/mip/presolve/gf2_presolve.cpp b/cpp/src/mip/presolve/gf2_presolve.cpp
new file mode 100644
index 000000000..c396a12c1
--- /dev/null
+++ b/cpp/src/mip/presolve/gf2_presolve.cpp
@@ -0,0 +1,264 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights
+ * reserved. SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "gf2_presolve.hpp"
+
+#include <mip/mip_constants.hpp>
+
+#include <cmath>
+#include <unordered_map>
+
+#if GF2_PRESOLVE_DEBUG
+#define NOT_GF2(reason, ...)                                                  \
+  do {                                                                        \
+    printf("NO : Cons %d is not gf2: " reason "\n", cstr_idx, ##__VA_ARGS__); \
+    goto not_valid;                                                           \
+  } while (0)
+#else
+#define NOT_GF2(reason, ...) \
+  do {                       \
+    goto not_valid;          \
+  } while (0)
+#endif
+
+namespace cuopt::linear_programming::detail {
+
+// this is kind-of a stopgap implementation (as in practice MIPLIB2017 only contains a couple of GF2
+// problems and they're small) but cuDSS could be used for this since A is likely to be sparse and
+// low-bandwidth (i think?) unlikely to occur in real-world problems however. doubt it'd be worth
+// the effort trashes A and b, return true if solved
+static bool gf2_solve(std::vector<std::vector<int>>& A, std::vector<int>& b, std::vector<int>& x)
+{
+  int i, j, k;
+  const int N = A.size();
+  for (i = 0; i < N; i++) {
+    // Find pivot
+    int pivot = -1;
+    for (j = i; j < N; j++) {
+      if (A[j][i]) {
+        pivot = j;
+        break;
+      }
+    }
+    if (pivot == -1) return false;  // No solution
+
+    // Swap current row with pivot row if needed
+    if (pivot != i) {
+      for (k = 0; k < N; k++) {
+        int temp    = A[i][k];
+        A[i][k]     = A[pivot][k];
+        A[pivot][k] = temp;
+      }
+      int temp = b[i];
+      b[i]     = b[pivot];
+      b[pivot] = temp;
+    }
+
+    // Eliminate downwards
+    for (j = i + 1; j < N; j++) {
+      if (A[j][i]) {
+        for (k = i; k < N; k++)
+          A[j][k] ^= A[i][k];
+        b[j] ^= b[i];
+      }
+    }
+  }
+
+  // Back-substitution
+  for (i = N - 1; i >= 0; i--) {
+    x[i] = b[i];
+    for (j = i + 1; j < N; j++)
+      x[i] ^= (A[i][j] & x[j]);
+    if (!A[i][i] && x[i]) return false;  // No solution
+  }
+  return true;  // Success
+}
+
+template <typename f_t>
+papilo::PresolveStatus GF2Presolve<f_t>::execute(const papilo::Problem<f_t>& problem,
+                                                 const papilo::ProblemUpdate<f_t>& problemUpdate,
+                                                 const papilo::Num<f_t>& num,
+                                                 papilo::Reductions<f_t>& reductions,
+                                                 const papilo::Timer& timer,
+                                                 int& reason_of_infeasibility)
+{
+  const auto& constraint_matrix = problem.getConstraintMatrix();
+  const auto& lhs_values        = constraint_matrix.getLeftHandSides();
+  const auto& rhs_values        = constraint_matrix.getRightHandSides();
+  const auto& row_flags         = constraint_matrix.getRowFlags();
+  const auto& domains           = problem.getVariableDomains();
+  const auto& col_flags         = domains.flags;
+  const auto& lower_bounds      = domains.lower_bounds;
+  const auto& upper_bounds      = domains.upper_bounds;
+
+  const int num_rows = constraint_matrix.getNRows();
+
+  std::unordered_map<size_t, size_t> gf2_bin_vars;
+  std::unordered_map<size_t, size_t> gf2_key_vars;
+  std::vector<gf2_constraint_t> gf2_constraints;
+
+  const f_t integrality_tolerance = num.getFeasTol();
+
+  for (int cstr_idx = 0; cstr_idx < num_rows; ++cstr_idx) {
+    int key_var_idx   = -1;
+    f_t key_var_coeff = 0.0;
+
+    std::vector<std::pair<size_t, f_t>> constraint_bin_vars;
+
+    // Check constraint coefficients
+    auto row_coeff         = constraint_matrix.getRowCoefficients(cstr_idx);
+    const int* row_indices = row_coeff.getIndices();
+    const f_t* row_values  = row_coeff.getValues();
+    const int row_length   = row_coeff.getLength();
+    f_t rhs                = std::round(lhs_values[cstr_idx]);
+
+    // Check if this is an equality constraint
+    if (!num.isEq(lhs_values[cstr_idx], rhs_values[cstr_idx]))
+      NOT_GF2("not eq", lhs_values[cstr_idx], rhs_values[cstr_idx]);
+    if (!std::isfinite(lhs_values[cstr_idx])) NOT_GF2("not finite", lhs_values[cstr_idx]);
+    if (!is_integer(lhs_values[cstr_idx], integrality_tolerance))
+      NOT_GF2("not integer", lhs_values[cstr_idx]);
+
+    // Only accept 0, 1, -1 as rhs
+    if (rhs != 0.0 && rhs != 1.0 && rhs != -1.0) NOT_GF2("not 0, 1, -1", rhs);
+
+    for (int j = 0; j < row_length; ++j) {
+      if (!is_integer(row_values[j], integrality_tolerance)) {
+        NOT_GF2("coeff not integer", row_values[j]);
+      }
+
+      int var_idx = row_indices[j];
+      f_t coeff   = std::round(row_values[j]);
+
+      // Check if variable is integer
+      if (!col_flags[var_idx].test(papilo::ColFlag::kIntegral)) {
+        NOT_GF2("not integral", var_idx);
+      }
+
+      bool is_binary = col_flags[var_idx].test(papilo::ColFlag::kLbInf) ? false
+                       : col_flags[var_idx].test(papilo::ColFlag::kUbInf)
+                         ? false
+                         : (lower_bounds[var_idx] == 0.0 && upper_bounds[var_idx] == 1.0);
+
+      // Check coefficient constraints
+      if (is_binary && (std::abs(coeff) != 1.0 && std::abs(coeff) != 2.0)) {
+        NOT_GF2("not binary", var_idx);
+      }
+      if (!is_binary && (std::abs(coeff) != 2.0)) { NOT_GF2("not binary", var_idx); }
+
+      // Key variable (coefficient of 2)
+      if (std::abs(coeff) == 2.0) {
+        if (key_var_idx != -1) { NOT_GF2("multiple key variables", var_idx); }
+        key_var_idx   = var_idx;
+        key_var_coeff = coeff;
+        gf2_key_vars.insert({var_idx, gf2_key_vars.size()});
+      } else {
+        // Binary variable
+        constraint_bin_vars.push_back({var_idx, coeff});
+        gf2_bin_vars.insert({var_idx, gf2_bin_vars.size()});
+      }
+    }
+
+    if (key_var_idx == -1) NOT_GF2("missing key variable");
+
+    gf2_constraints.emplace_back((size_t)cstr_idx,
+                                 std::move(constraint_bin_vars),
+                                 std::pair<size_t, f_t>{key_var_idx, key_var_coeff},
+                                 ((size_t)rhs) % 2);
+    continue;
+  not_valid:
+    continue;
+  }
+
+  // If no GF2 constraints found, return unchanged
+  if (gf2_constraints.empty()) { return papilo::PresolveStatus::kUnchanged; }
+
+  // Skip if that would cause computational explosion (O(n^3) with simple gaussian elimination)
+  if (gf2_constraints.size() > 1000) { return papilo::PresolveStatus::kUnchanged; }
+
+  // Validate structure
+  if (gf2_key_vars.size() != gf2_constraints.size() ||
+      gf2_bin_vars.size() != gf2_constraints.size()) {
+    return papilo::PresolveStatus::kUnchanged;
+  }
+
+  // Create inverse mappings
+  std::unordered_map<size_t, size_t> gf2_bin_vars_invmap;
+  for (const auto& [var_idx, gf2_idx] : gf2_bin_vars) {
+    gf2_bin_vars_invmap.insert({gf2_idx, var_idx});
+  }
+
+  // Build binary matrix
+  // Could be a flat vector but. oh well. in practice N is small
+  std::vector<std::vector<int>> A(gf2_constraints.size(),
+                                  std::vector<int>(gf2_constraints.size(), 0));
+  std::vector<int> b(gf2_constraints.size());
+  for (const auto& cons : gf2_constraints) {
+    for (auto [bin_var, _] : cons.bin_vars) {
+      A[cons.cstr_idx][gf2_bin_vars[bin_var]] = 1;
+    }
+    b[cons.cstr_idx] = cons.rhs;
+  }
+
+  std::vector<int> solution(gf2_constraints.size());
+  bool feasible = gf2_solve(A, b, solution);
+  if (!feasible) { return papilo::PresolveStatus::kInfeasible; }
+
+  std::unordered_map<size_t, f_t> fixings;
+  // Fix binary variables
+  for (size_t sol_idx = 0; sol_idx < gf2_constraints.size(); ++sol_idx) {
+    fixings[gf2_bin_vars_invmap[sol_idx]] = solution[sol_idx];
+  }
+
+  // Compute fixings for key variables by solving for the constraint
+  for (const auto& cons : gf2_constraints) {
+    auto [key_var_idx, key_var_coeff] = cons.key_var;
+    f_t constraint_rhs                = lhs_values[cons.cstr_idx];  // equality constraint
+    f_t lhs                           = -constraint_rhs;
+    for (auto [bin_var, coeff] : cons.bin_vars) {
+      lhs += fixings[bin_var] * coeff;
+    }
+    fixings[key_var_idx] = std::round(-lhs / key_var_coeff);
+  }
+
+  papilo::PresolveStatus status = papilo::PresolveStatus::kUnchanged;
+  papilo::TransactionGuard rg{reductions};
+  for (const auto& [var_idx, fixing] : fixings) {
+    if (num.isZero(fixing)) {
+      reductions.fixCol(var_idx, 0);
+    } else {
+      reductions.fixCol(var_idx, fixing);
+    }
+    status = papilo::PresolveStatus::kReduced;
+  }
+
+  return status;
+}
+
+#define INSTANTIATE(F_TYPE) template class GF2Presolve<F_TYPE>;
+
+#if MIP_INSTANTIATE_FLOAT
+INSTANTIATE(float)
+#endif
+
+#if MIP_INSTANTIATE_DOUBLE
+INSTANTIATE(double)
+#endif
+
+#undef INSTANTIATE
+
+}  // namespace cuopt::linear_programming::detail
diff --git a/cpp/src/mip/presolve/gf2_presolve.hpp b/cpp/src/mip/presolve/gf2_presolve.hpp
new file mode 100644
index 000000000..b7a6633aa
--- /dev/null
+++ b/cpp/src/mip/presolve/gf2_presolve.hpp
@@ -0,0 +1,74 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights
+ * reserved. SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wstringop-overflow"  // ignore boost error for pip wheel build
+#include <papilo/Config.hpp>
+#include <papilo/core/PresolveMethod.hpp>
+#include <papilo/core/Problem.hpp>
+#include <papilo/core/ProblemUpdate.hpp>
+#pragma GCC diagnostic pop
+
+namespace cuopt::linear_programming::detail {
+
+template <typename f_t>
+class GF2Presolve : public papilo::PresolveMethod<f_t> {
+ public:
+  GF2Presolve() : papilo::PresolveMethod<f_t>()
+  {
+    this->setName("gf2presolve");
+    this->setType(papilo::PresolverType::kIntegralCols);
+    this->setTiming(papilo::PresolverTiming::kMedium);
+  }
+
+  papilo::PresolveStatus execute(const papilo::Problem<f_t>& problem,
+                                 const papilo::ProblemUpdate<f_t>& problemUpdate,
+                                 const papilo::Num<f_t>& num,
+                                 papilo::Reductions<f_t>& reductions,
+                                 const papilo::Timer& timer,
+                                 int& reason_of_infeasibility) override;
+
+ private:
+  struct gf2_constraint_t {
+    size_t cstr_idx;
+    std::vector<std::pair<size_t, f_t>> bin_vars;
+    std::pair<size_t, f_t> key_var;
+    size_t rhs;  // 0 or 1
+
+    gf2_constraint_t() = default;
+    gf2_constraint_t(size_t cstr_idx,
+                     std::vector<std::pair<size_t, f_t>> bin_vars,
+                     std::pair<size_t, f_t> key_var,
+                     size_t rhs)
+      : cstr_idx(cstr_idx), bin_vars(std::move(bin_vars)), key_var(key_var), rhs(rhs)
+    {
+    }
+    gf2_constraint_t(const gf2_constraint_t& other)                = default;
+    gf2_constraint_t(gf2_constraint_t&& other) noexcept            = default;
+    gf2_constraint_t& operator=(const gf2_constraint_t& other)     = default;
+    gf2_constraint_t& operator=(gf2_constraint_t&& other) noexcept = default;
+  };
+
+  inline bool is_integer(f_t value, f_t tolerance) const
+  {
+    return std::abs(value - std::round(value)) <= tolerance;
+  }
+};
+
+}  // namespace cuopt::linear_programming::detail
diff --git a/cpp/src/mip/presolve/third_party_presolve.cpp b/cpp/src/mip/presolve/third_party_presolve.cpp
index bc6ebdffa..dc2d4b00e 100644
--- a/cpp/src/mip/presolve/third_party_presolve.cpp
+++ b/cpp/src/mip/presolve/third_party_presolve.cpp
@@ -18,6 +18,7 @@
 #include <cuopt/error.hpp>
 #include <cuopt/logger.hpp>
 #include <mip/mip_constants.hpp>
+#include <mip/presolve/gf2_presolve.hpp>
 #include <mip/presolve/third_party_presolve.hpp>
 #include <utilities/timer.hpp>
 
@@ -307,6 +308,10 @@ void set_presolve_methods(papilo::Presolve<f_t>& presolver, problem_category_t c
 {
   using uptr = std::unique_ptr<papilo::PresolveMethod<f_t>>;
 
+  // cuopt custom presolvers
+  if (category == problem_category_t::MIP)
+    presolver.addPresolveMethod(uptr(new cuopt::linear_programming::detail::GF2Presolve<f_t>()));
+
   // fast presolvers
   presolver.addPresolveMethod(uptr(new papilo::SingletonCols<f_t>()));
   presolver.addPresolveMethod(uptr(new papilo::CoefficientStrengthening<f_t>()));
diff --git a/cpp/tests/linear_programming/c_api_tests/c_api_tests.cpp b/cpp/tests/linear_programming/c_api_tests/c_api_tests.cpp
index 5ccc21a9e..6a1019307 100644
--- a/cpp/tests/linear_programming/c_api_tests/c_api_tests.cpp
+++ b/cpp/tests/linear_programming/c_api_tests/c_api_tests.cpp
@@ -71,7 +71,7 @@ INSTANTIATE_TEST_SUITE_P(
                     5,
                     CUOPT_METHOD_DUAL_SIMPLEX),  // LP, Dual Simplex
     std::make_tuple("/linear_programming/square41/square41.mps", 5, CUOPT_METHOD_PDLP),  // LP, PDLP
-    std::make_tuple("/mip/enlight_hard.mps", 5, CUOPT_METHOD_DUAL_SIMPLEX)               // MIP
+    std::make_tuple("/mip/supportcase22.mps", 5, CUOPT_METHOD_DUAL_SIMPLEX)              // MIP
     ));
 
 TEST(c_api, iteration_limit)
diff --git a/datasets/mip/download_miplib_test_dataset.sh b/datasets/mip/download_miplib_test_dataset.sh
index d0eb0d2b9..1adc3a784 100755
--- a/datasets/mip/download_miplib_test_dataset.sh
+++ b/datasets/mip/download_miplib_test_dataset.sh
@@ -34,6 +34,7 @@ INSTANCES=(
     "neos5"
     "swath1"
     "enlight_hard"
+    "supportcase22"
 )
 
 BASE_URL="https://miplib.zib.de/WebData/instances"