SailEdge™ by SailrScience’s sail model is built in three layers on top of the same ORC certificate baseline and R16 boat runtime. The methodology is inspectable, the equations are documented, and the outputs preserve the same baseline, candidate, and delta semantics throughout.
Explore Your Edge Pick a layer →
SailrScience resolves per-sail aerodynamic forces, center of effort, and regime blending for baseline and candidate sailplans against the same ORC certificate anchor and live R16 boat runtime. Every output is traceable. Click any cell in the Edge Map and trace the delta back to coefficients, depower, provenance, and whole-boat outcome.
Want the deep dive? Keep scrolling. Want to see it work? Explore Your Edge.
You have an ORC certificate and basic sail measurements. The model classifies your sails, builds a planform, and runs regime-aware aero to produce an Edge Map of baseline-anchored deltas. Directionally correct. Explainable. No cut sheet required.
Read Layer 1 →You have cut sheets and advanced sail geometry. The model uses stacked-trapezoid planforms, per-sail force decomposition, occlusion modeling, and continuous regime blending. Click any Edge Map cell to see CL, CD, drive, side force, heel, speed, and VMG — the whole-boat outcome behind the delta.
Read Layer 2 →Your loft has wind-tunnel data, CFD results, or proprietary sail coefficients. The model accepts explicit coefficient overrides, foil-aware aero adjustments, and named Sail Tuning Profiles (the loft design team’s sail-side characterization — planform geometry, bounded tuning and construction insight, evaluated against on-water test data) — all protected server-side under NDA.
Read Layer 3 →Regardless of layer, every computation starts from the same anchor: your ORC certificate, its certified polar baseline, (the certificate’s polar performance grid — the official ORC speeds at each wind speed and angle that every Edge Map delta is measured against) and the same R16 boat runtime built on the DSYHS calm-water backbone with bounded follow-on lanes. Every delta is computed from that certified baseline. Every output carries provenance tags showing where each value came from. The model is stateless and deterministic — same inputs, same outputs, every time.
What we publish: equations, pipeline, assumptions, provenance. What we don’t: exact tuning coefficients, calibration data, or protected partner-specific model parameters. The methodology is inspectable. The competitive advantage of our partners stays private.