From load case to verdict,
inside one dashboard.
Physics you can audit,
precision that learns.
SimBond bonds a proven physics baseline with machine learning — combining the trust of an explicit formula with the accuracy of 560 full FEM simulations.
Physics foundation
An improved SRSS formula with coupling coefficients establishes a transparent, code-aligned resistance baseline — no black box.
ML residual correction
A physics-informed neural network (PINN), trained on 560+ in-house FEM cases, learns the residual the physics misses, sharpening every prediction.
Instant verdict
Pass / fail classification with a resistance band and safety margin — returned in under three seconds, in your browser.
Structural facadesTruss connections
Glass curtain wallsFive-axis loads in.
A verdict out.
Dial in N, Vy, Vz, My and Mz and watch the hybrid model resolve resistance in real time — the same engine that powers the full design tool.
The accessible alternative
to desktop FEM.
Legacy connection tools are powerful but heavy — desktop-bound, per-seat, and opaque. SimBond keeps the rigor and drops the friction.
| Capability | SimBond | Legacy FEM suites |
|---|---|---|
| Engine | ✓ Our cloud FEM engine | Proprietary desktop solvers |
| Deployment | ✓ Cloud — runs in any browser | Desktop install |
| Licensing | ✓ Pay-as-you-go tokens | Per-seat annual license |
| Result speed | ✓ < 3 seconds (AI surrogate) | Minutes (full FEM) |
| Method | ✓ Physics-informed neural networks (PINNs) | Black-box internals |
Every prediction is validated against 560+ of our own full FEM simulations. See the methodology →
