About SolidNetics

Our MissionSimulation, reimagined for the cloud

SolidNetics unifies PINNs, FEA and Peridynamics in one cloud-native platform — giving engineers and researchers fast, flexible, and accurate analysis directly from CAD, with no meshing bottlenecks and no local hardware.

Founded 2025 · cloud-native · multi-solver · structural · thermal · fracture · impact · additive

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About SolidNetics
01

Our story

Founded in 2025, SolidNetics is redefining what is possible in engineering simulation through a new generation of cloud-native computational tools — a unified platform integrating Physics-Informed Neural Networks (PINNs), Finite Element Analysis (FEA), and Peridynamics for structural, thermal, fracture, and impact analysis, directly from CAD and at scale.

For decades, traditional workflows have relied on complex meshing, manual preprocessing, and heavyweight desktop software — constraints that slow innovation and make advanced analysis hard to adopt. SolidNetics takes a different approach, combining modern AI-based solvers, classical numerical methods, and nonlocal physics within an automated cloud framework.

While PINNs opened new possibilities for meshless simulation, and Peridynamics transformed how engineers model fracture and impact, industry adoption has been limited by the lack of scalable, user-friendly platforms. SolidNetics bridges this gap: upload a CAD model, select an analysis type, apply boundary conditions visually, and run on cloud CPUs or GPUs — no local installation, no specialized hardware.

We are a multidisciplinary team of mechanical engineers, computational scientists, and software developers with a shared mission: to make advanced simulation accessible, efficient, and practical for real-world engineering.

Founded
2025
cloud-native from day one
Solver families
3
PINN · FEA · Peridynamics
Physics covered
4+
stress · thermal · fracture · impact
Installation
0
runs in any browser
02

The methods behind the platform

Three complementary solver families, each chosen for what it does best — unified under one automated cloud workflow so you always pick the right tool for the problem.

The power of PINNs

Physics-Informed Neural Networks embed governing equations directly into deep networks, learning continuous solutions that inherently satisfy equilibrium and constitutive laws — no meshing, no discrete formulation.

  • Meshless — solve stress directly on CAD geometry
  • Naturally handles complex & evolving domains
  • Integrates sparse experimental data and inverse problems
  • GPU-accelerated for high-dimensional 3D solid mechanics

SolidNetics makes PINNs practical — production-grade, scalable on demand, and reliable enough for real engineering systems.

Meshless GPU-accelerated Inverse problems Data-driven

The power of Peridynamics

A nonlocal reformulation of continuum mechanics that captures fracture, discontinuities, and material failure without crack tracking or re-meshing — evaluating interactions over finite distances instead of spatial derivatives.

  • Crack initiation, growth & branching by construction
  • Fragmentation and high-velocity impact
  • Stable where mesh-based methods break down
  • Powered by a high-performance C++ engine

SolidNetics brings advanced failure modeling into practical engineering workflows for the first time — fully automated in the cloud.

Fracture
crack & branch
no re-meshing
Impact
high-velocity
fragmentation
Method
nonlocal
finite horizon
Engine
C++
cloud-scaled

The power of Cloud FEA

Finite Element Analysis remains the proven foundation of engineering simulation. SolidNetics keeps its reliability and accuracy while removing the desktop constraints — separating model preparation from computation.

  • Automated meshing pipelines from CAD
  • State-of-the-art solvers on scalable CPU/GPU
  • No installs, licences, or hardware to manage
  • Integrated boundary conditions & online visualization

Classical FEA, modernised — greater speed, flexibility, and scale, all from the browser.

Automated meshing CPU + GPU Browser-based Proven accuracy
03

How SolidNetics works

From a CAD upload to interactive results — every stage runs on automated cloud infrastructure.

How SolidNetics works
FIG.01 · solidnetics_workflow CAD in · cloud compute · results out
04

Technology & infrastructure

A single cloud-native framework built end-to-end on AWS for scalability, reliability, and speed.

Powered by AWS provisioned per-solver · scales with demand
Core engine

GPU-accelerated PINN solvers, scalable FEA, and a high-performance C++ peridynamic engine in one framework — solving solid mechanics directly from CAD with minimal preprocessing.

Cloud infrastructure

Runs entirely on AWS for scalability, reliability and speed. Launch simulations from any device with no local installation.

Data storage

AWS DynamoDB manages user and project metadata; inputs and results are stored securely in S3 in structured formats including JSON and HDF5.

Preprocessing

AWS Lambda automates point-cloud generation from CAD geometry (STL, STEP, IGES, OBJ) and normalizes geometry and boundary conditions.

Job queue

AWS SQS handles asynchronous job dispatch, ensuring smooth communication between the web application and compute backends.

Compute instances

Dedicated instances per solver — GPU for PINNs, CPU and hybrid for FEA and peridynamic workloads — pre-configured with the SolidNetics runtime and scaled dynamically.

05

Mission & vision

Our Mission
Transform engineering simulation

To unify advanced computational methods — PINNs, FEA, and Peridynamics — within a modern cloud-native platform, delivering intelligent, scalable, and accessible tools that let engineers and researchers analyze structural, thermal, fracture, and impact behavior with unprecedented accuracy and efficiency.

bridging classical methods & AI-driven solvers
Our Vision
Simulation for everyone, everywhere

A future where engineering simulation is comprehensive, automated, and universally accessible — no longer constrained by hardware, software complexity, or legacy workflows. We aim to lead the evolution from mesh-centric FEA toward a new generation of intelligent, multi-solver platforms.

more speed · more accuracy · more design freedom
06

Our core values

The principles behind a cloud platform built for modern engineering teams.

Accessibility

Access your data and tools from anywhere with an internet connection.

Collaboration

Multiple users can work on the same project simultaneously, increasing efficiency and reducing errors.

Scalability

The platform accommodates increased usage and data storage as your work grows.

Cost savings

No expensive hardware or IT infrastructure required — advanced analysis without the overhead.

Data security

Secure storage and backup of important data, reducing the risk of loss or theft.

Improved performance

Powerful servers and infrastructure ensure fast, reliable performance.

Software updates

Regular updates roll out without disruption, keeping the platform current and secure.

07

Our team

SolidNetics was founded by a diverse team of mechanical engineers with deep expertise in computational solid mechanics, machine-learning and AI engineers specializing in physics-informed neural networks, computer scientists, and interdisciplinary researchers — merging physics-based simulation with modern AI, cloud computing, and product design.

We are actively growing. If you work in solid mechanics, machine learning, AI, software engineering, or cloud infrastructure, we'd love to hear from you.

Join Us

Build the future of simulation with us

From research labs to production floors, SolidNetics makes advanced multi-physics simulation accessible, efficient, and ready for real-world engineering.

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