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Wall Thickness Pass

Ray-cast inward from 12,847 vertices
min: 1.24mm • mean: 3.8mm • 0% critical

0.8mm

Overhang Detection Warn

Face normal → Rx @ Ry @ Rz → dot(n, build_dir)
min angle: 52° • 4.2% warning • 0.3% critical

45°

Bridge Detection Pass

BFS connected regions on unsupported faces
3 regions found • max span: 3.2mm • 0 critical

5mm

Tiny Features Fail

6-ray tangent frame → second-smallest axis
min feature: 0.32mm < 0.4mm nozzle • 2.1% critical

0.4mm

Your Model, Stress-Tested

Think CI/CD,
but for physical objects.

Analyze. Fix. Regenerate. Reanalyze. Mimo iterates on your part until every check passes and cost is optimized.

Round 1 · Initial

$22.40

Identified as outdoor drone arm mount. Overhang too steep, thin features below nozzle limit.

✓ wall ✓ bridge ✗ overhang ✗ tiny

Round 2 · Geometry

$17.80

Rotated part, filleted stress points, regenerated model. Thin features remain.

✓ wall ✓ bridge ✓ overhang ✗ tiny

Round 3 · Final

$14.27

Switched to ASA for outdoor UV resistance. Thickened tabs. All checks pass.

✓ wall ✓ bridge ✓ overhang ✓ tiny

↓ 36%

cost optimized

✓ outdoor · ✓ load-bearing · ✓ intent preserved

Simulated, Not Estimated

Your quote is a simulation,
not an estimate.

Typical

$18.00

volume ×
density ×
$/g

Build time n/a
Support n/a
Machine n/a
Labor n/a

Mimo Simulated

$14.27 ↓ 20.7%

slicer → G-code → line-item breakdown

Material (32.4g PETG)
$2.59
Build time (2h 14m)
$6.70
Support (4.1g)
$0.33
Machine depreciation
$2.68
Labor overhead
$1.97

@register_analyzer class OverhangAnalyzer(BaseAnalyzer): name = "overhang" unit = "deg" orientation_dependent = True def get_default_thresholds(self): return AnalysisThresholds( min_value=45.0, warning_value=60.0, ) async def compute_values(self, mesh, cb): rotation_matrix = self._build_rotation_matrix() build_direction = np.array([0.0, 0.0, 1.0]) face_normals = mesh.face_normals rotated = face_normals @ rotation_matrix.T dot_products = rotated @ build_direction dot_products = np.clip(dot_products, -1.0, 1.0) face_overhang_angles = np.where( dot_products < 0, 90.0 + np.degrees(np.arcsin(dot_products)), 90.0 ) n_vertices = len(mesh.vertices) vertex_angles = np.full(n_vertices, 90.0) flat_faces = mesh.faces.flatten() flat_angles = np.repeat(face_overhang_angles, 3) np.minimum.at(vertex_angles, flat_faces, flat_angles) return vertex_angles class WallThicknessAnalyzer(BaseAnalyzer): name = "wall_thickness" unit = "mm" async def compute_values(self, mesh, cb): vertices = mesh.vertices normals = mesh.vertex_normals offset = 0.0001 ray_origins = vertices + normals * offset ray_directions = -normals locations, ray_indices, _ = \ mesh.ray.intersects_location( ray_origins=ray_origins, ray_directions=ray_directions, multiple_hits=True, ) distances = np.linalg.norm( locations - ray_origins[ray_indices], axis=1, )

Under the Surface

Every answer is earned.

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