AI-driven soft body physics simulation that gives engineers what rigid-body tools never could — real deformation, frame-by-frame failure tracking, and intelligent structural validation in one pipeline.
A walkthrough of the current build — node-based physics and surface detection.
See the Archimedes Engine in action.
info@myceliumsystemsllc.comAt over $9,000 per 50 analyses and more than half of analyst hours consumed by tasks existing tools can't handle, the bottleneck isn't talent — it's infrastructure.
Rigid body engines show only the end-state. Engineers get zero visibility into how a structure deforms during failure — the most critical data for safety validation.
No market-leading simulation tool natively integrates AI. Every analysis is sequential, unscalable, and requires a trained analyst to interpret raw contour maps by hand.
The physics engines behind industry-standard platforms prioritize rendering speed over structural accuracy — a foundational flaw that no amount of patching can resolve.
Meshfree and particle-based simulation has been studied for decades. Today these methods ship inside tools like LS-DYNA and Altair RADIOSS. We know the landscape we're building in.
The opportunity isn't the math — it's the productization. Archimedes is designed to close the three gaps that have kept meshfree methods from replacing FEA in mainstream engineering workflows: contact resolution at scale, stable nonlinear behavior through failure, and an integrated validation layer that doesn't exist in any commercial meshfree tool today.
Each material is modeled as a network of force-vector nodes. Every collision, deformation, and stress propagation is computed individually — not approximated — enabling true structural insight at every point.
A proprietary algorithm resolves multiple collision contact points simultaneously in a single frame. Existing engines process these sequentially, introducing compounding error across the simulation timeline.
An automated AI validation pass runs alongside every simulation — flagging anomalies, predicting failure trajectories, and surfacing structural insights while tracing full failure behavior as it progresses.
Traditional structural validation is a relay race across a dozen specialists. Archimedes fuses simulation, failure tracking, and validation into a single run — collapsing that twelve-person multi-team pipeline onto a four-person group running one engine.
The 29% per-seat productivity gain is the floor, not the ceiling. The real leverage comes from what gets fused: when testing and validation run inside the same simulation, the validation team disappears as a separate line item. When AI-flagged failure analysis runs automatically, the forensics role collapses into the same pipeline. A workflow that required twelve specialists across multiple teams now fits inside a four-person group — delivering a 60% reduction in total annual team cost that compounds across every design cycle, every year, every hire you don't need to make.
Background in asset management and operational strategy. Leads investor relations and business development.
Background in mechanical engineering, structural simulation, AI systems architecture, and physics engine development. Leads core engine R&D.
Background in computer science, information science, and computer information systems. Oversees simulation data pipelines and output validation.
Archimedes replaces the rigid-body assumption with a node-based vector model. Every limitation of traditional Finite Element Analysis is addressed by design.
Engineers can now simulate real deformation, track failure sequences frame-by-frame, and run AI-validated structural checks — all in one integrated pipeline.
Materials are modeled as networks of force-vector nodes where every point understands its neighbors — eliminating mesh-quality bottlenecks and expert manual setup.
Real deformation is computed at every node — not approximated. The engine maintains full fidelity through the failure point, exactly where legacy FEA breaks down.
Instead of start-and-end-state snapshots, Archimedes simulates the full sequence between force application and structural response — tracking progressive failure in real time.
Every simulation generates true 3D volumetric data that trains an AI to flag anomalies, predict failure trajectories, and surface structural insights automatically.
Cantilever beam deflection, Hertzian contact, uniaxial tension — cases with closed-form solutions where simulation output must match theory to within tight tolerances.
Systematic node-density sweeps to characterize discretization error and establish the practical accuracy envelope across different problem classes.
Benchmarking against published impact and progressive-failure datasets — the regime where linear FEA breaks down and soft-body physics must prove its worth.
This is the difference between an engine that only looks right and one that an engineer can sign their name to. Building validation infrastructure alongside the solver — not retrofitting it — is a deliberate architectural choice, and it's what will make Archimedes defensible in safety-critical design review.