Engineering, Connected.
Open Source for the World
A modular engineering ecosystem connecting design, simulation, software, hardware, robotics and intelligent systems through shared tools, models and infrastructure.
CUVisoft Engineering
The open modular platform connecting mechanical, electrical, firmware, controls, simulation & AI into a unified computational pipeline.
Engineering Should Work Like an Ecosystem
From disconnected tools and manual file transfers to an integrated, continuous engineering operating fabric.
Fragmented Engineering
Different teams using proprietary, incompatible file formats. Changes in mechanical CAD break electrical routing; firmware modifications desynchronize control loop assumptions.
Connected Engineering
A continuous, parametric pipeline where models, code, physics, and telemetry share a single verified digital fabric.
The 8 Engineering Disciplines
Explore the tools, physical models, data schemas, and example projects across every domain in the connected engineering platform.
Mechanical Engineering
Parametric CAD, structural FEA, kinematics, thermal dynamics, and additive manufacturing.
An Open Core for Engineering
Building the Linux of Physical Systems — an open, modular foundation layered from mathematical kernels to enterprise production applications.
OPEN CORE
Mathematical, geometric, physics & algorithmic foundations
ENGINEERING MODULES
Discipline-specific composable engines
EXTENSIONS & SOLVERS
High-performance computational accelerators
COMMUNITY PLUGINS
Ecosystem ecosystem contributions & vendor toolkits
ENTERPRISE INTEGRATIONS
Enterprise resource & factory floor bridges
END-USER APPLICATIONS
Turnkey domain software & collaborative suites
Open-Source Engineering Kernel Primitives
Click any foundational component to inspect its mathematical role and computational primitives.
Parametric B-Rep solid modeler, mesh tessellator, STEP/IGES converter, and computational Boolean kernel.
Connect Engineering Knowledge
Transform disconnected CAD files and spreadsheets into a semantically linked knowledge graph connecting requirements, physics models, code, sensors, and tests.
Payload: 15kg @ 1.2m Reach
From Idea to Intelligent System
A continuous, closed-loop development pipeline uniting mission requirements, multi-physics simulation, embedded control, and automated factory deployment.
Capture Requirements
Formulate functional criteria, performance thresholds, environmental bounds, and statutory safety mandates in machine-readable SysML formats.
Design the System Before Building It
Deconstruct complex machines into formal subsystems, assign verified interface control specifications, and ensure continuous requirement-to-test traceability.
Mechanical Subsystem
Simulate Before You Build
Coupled multi-body physics, structural finite-element analysis, and transient control solvers in a high-fidelity virtual testbench.
From Engineering Models to Intelligent Machines
Unify kinematics, sensor perception, real-time path planning, and embedded motor actuation into an open robotics stack.
PERCEIVE
RGB-D camera & 3D LiDAR point-cloud acquisition
UNDERSTAND
Object classification, spatial segmentation & pose estimation
PLAN
Collision-free trajectory interpolation via MoveIt & OMPL
CONTROL
1kHz Field-Oriented Current Control (FOC) & joint damping
ACT
Sub-millimeter harmonic actuator positioning & torque delivery
LEARN
Reinforcement policy fine-tuning via physical contact feedback
6-DOF Articulated Manipulator Telemetry
ROS 2 Iron Node Bridge • RTOS Control Loop Active
Hardware Meets Software
Deterministic RTOS execution, zero-overhead Rust HAL drivers, and memory-safe edge firmware bridging sensors to precision actuators.
//! CUVisoft Embedded HAL: Deterministic Joint Controller Task
#![no_std]
use embedded_hal::digital::v2::OutputPin;
use cuvisoft_rtos::{Task, Queue, Period};
#[task(priority = 10, capacity = 4)]
fn motor_control_loop(cx: motor_control_loop::Context) {
let mut motor = cx.local.motor_driver;
let feedback = cx.local.encoder_queue.dequeue().unwrap();
// Compute Field-Oriented Control (FOC) vector
let setpoint = cx.shared.target_angle.lock(|angle| *angle);
let error = setpoint - feedback.current_angle;
let control_effort = cx.local.pid.update(error, Period::from_micros(1000));
// Write Space Vector PWM duty cycles
motor.set_phase_voltages(control_effort.u, control_effort.v, control_effort.w);
// Emit high-speed telemetry packet over CAN-FD bus
cx.local.can_tx.transmit(TelemetryPacket::new(feedback.current_angle, control_effort.effort));
}Model. Control. Stabilize.
Design high-bandwidth feedback loops, state-space estimators, and Kalman filters to ensure sub-millimeter positioning and dynamic stability.
PID Gain Tuning
AI That Understands Engineering
Not generic conversational text, but computational AI grounded in physics laws, numerical solvers, and experimental telemetry.
Telemetry analysis indicates RMS torque exceeds continuous stall thermal limits by 18% during deceleration phases.
Kinematic torque log #8821 + Motor Thermal Curve (Class F Insulation).
Increase spline trajectory duration by 80ms or engage regenerative braking damping in firmware.
Engineering Copilot Workspace
A multi-modal workspace uniting query answering, multi-physics simulation, parametric optimization, and rigorous mathematical explanation.
“Design B reduces estimated mass by 8.4% in this illustrative simulation while maintaining the specified 150 MPa yield stress constraints.”
- • Payload: 12.0 kg static load
- • Form envelope: 320 x 80 x 60 mm
- • Material: Al 7075-T6 (Yield 503 MPa)
- • Fixed constrained base mount
- • Isotropic elasticity model
- • Steady-state ambient temp: 25°C
- • CalculiX FEA 2nd-order tets
- • Mesh density: 142,000 elements
- • Convergence residual < 1e-5
- • Mass: 2.14 kg (-180g vs Design A)
- • Peak Von Mises: 118.4 MPa
- • Safety Factor: 4.2x against yield
- • Confidence Index: 93.4%
- • Mesh Independence: Verified
- • Experimental Correlation: High
- • Excludes high-cycle fatigue
- • Requires 5-axis CNC machining
- • Thermal expansion uncoupled
Every Physical System Can Have a Digital Twin
Synchronize operating physical assets with live multi-physics simulation models to predict failures, optimize energy consumption, and close the loop from design to reality.
Machines & CNCs
Spindle bearing vibration, tool wear prediction, cutting chatter suppression
Smart Factories
Automated guided vehicle (AGV) scheduling, throughput bottlenecks, HVAC load
Electric Vehicles
Battery cell thermal degradation, powertrain efficiency, regenerative braking
Robotics Fleets
Joint harmonic drive life estimation, real-time SLAM fleet synchronization
Energy Systems
Wind turbine blade fatigue monitoring, solar inverter microgrid load balancing
Infrastructure
Bridge structural health vibration monitoring, water utility pressure networks
Connected to UrbanOS & India Machine Intelligence Atlas
Digital twin telemetry from factories, robotics, and vehicles feeds regional spatial intelligence in UrbanOS and macroscopic manufacturing capability maps in the India Machine Intelligence Atlas.
Engineering Data as Infrastructure
Unify multi-disciplinary engineering assets into an immutable, version-controlled, and semantically queryable data fabric.
Immutable Versioning
Cryptographic Git-style SHA-256 hashes for every solid geometry, netlist, and simulation mesh.
Bidirectional Traceability
Every line of embedded code and finite element mesh node links to governing system requirements.
Rich Engineering Metadata
Parametric dimensional tolerances, GD&T, material certifications, and author cryptographic signatures.
Role-Based Permissions
Granular access controls across engineering teams, external suppliers, and certification auditors.
Full Data Lineage
Audit trail reconstructing exact simulation inputs, solver seeds, and physical test bench conditions.
Build Once. Learn Forever.
A centralized, community-audited repository of verified formulas, material curves, simulation models, and standard engineering patterns.
Harmonic Drive Strain-Wave Torsional Stiffness Formulation
Analytical calculation of non-linear torsional hysteresis and lost motion in high-ratio flexspline gearing.
Space Vector PWM Switching Vector Generation in Fixed-Point Math
Optimized C/Rust implementation of SVPWM sector calculation with zero division operations for MCU deployment.
Aerospace Titanium Ti-6Al-4V Cryogenic Tensile Yield Dataset
Empirical stress-strain curves and fatigue limits at temperatures ranging from -196°C to +150°C.
6-DOF Kinematic Decoupling & Closed-Form Analytical IK
Pieper-criterion kinematic analytical inverse kinematic solver for spherical-wrist serial industrial robots.
IPC-2221 High-Voltage PCB Clearance & Creepage Calculator
Automated standard compliance rules for printed circuit boards operating up to 1,000V DC at altitude.
Modelica Bond Graph Library for Multi-Domain Energy Exchange
Standardized energy port connectors linking electrical inductors, mechanical inertia, and thermal reservoirs.
Engineers Should Build Together
Unite mechanical, electrical, firmware, control, and software engineers on a single concurrent design timeline with automated cross-discipline collision detection.
Active Concurrent Engineering Timeline
Project: 6-Axis Collaborative Manipulator v3.4 • Branch: main
Updated elbow joint bracket ribbing to clear 48V motor harness
Rerouted high-current DC bus traces to minimize inductive switching spikes
Adjusted SPI clock prescaler to 25MHz for faster encoder reading
Updated velocity loop feedforward terms based on friction bench data
Regenerated collision avoidance voxels for 15kg dynamic payload envelope
Integrated Protobuf serialization pipeline into real-time telemetry daemon
Trained physics-informed surrogate for rapid CFD aerodynamic drag estimation
An Ecosystem Around Engineering
Building the Linux of Engineering Ecosystems — discover, share, and instantiate open simulation solvers, robotics modules, firmware crates, and verified materials datasets.
Open-Dynamics Multibody Solver
C++20 real-time rigid and flexible multibody dynamics solver with GPU acceleration.
BLDC Field Oriented Control Crate
Embedded Rust no-std space vector PWM and sensorless flux observer for STM32 and RP2040.
Aerospace Structural Material Dataset
Verified temperature-dependent S-N fatigue curves and anisotropic stress tensors for 48 alloys.
Universal Robot Arm Kinematics Plugin
Analytical IK solvers for arbitrary 6-DOF and 7-DOF kinematic topologies with zero gimbal lock.
KiCad PCB Automated Design Rule Checker
High-speed Python IPC daemon enforcing IPC-2221 track widths and differential impedance pairs.
SysML v2 to Rust Code Generator
Generates compile-time type-safe state machines and telemetry schemas directly from SysML models.
Build Engineering Software on the Platform
Programmatic REST and gRPC endpoints to execute cloud simulations, generate CAD geometries, and query telemetry pipelines.
POST /v1/engineering/simulate HTTP/1.1
Host: api.cuvisoft.com
Authorization: Bearer sk_eng_live_99421
Content-Type: application/json
{
"system": "robot-arm-6dof",
"model": "harmonic-drive-elbow",
"solver": "multibody-fem-coupled",
"parameters": {
"payload_kg": 12.0,
"reach_mm": 1250,
"step_time_ms": 1.0
}
}{
"simulation_id": "sim_9824fbc1",
"status": "completed",
"solver": "OpenDynamics-RK4",
"duration_ms": 240,
"results": {
"max_deflection_mm": 0.18,
"peak_stress_mpa": 142.4,
"settling_time_ms": 285,
"convergence": "nominal"
}
}Engineering Compute
Scalable multi-core CPU and GPU cluster acceleration designed specifically for heavy numerical integration, multi-body kinematics, and physics neural surrogates.
Engineering Sources
Numerical & Physics Solvers
Actionable Synthesis
Powered by Computational Intelligence
CUVisoft Alpha acts as the central reasoning brain — transforming engineering inquiries into formal mathematical calculations and verifiable physical results.
Parse natural language question and extract physical variables (torque, speed, heat).
Retrieve corresponding kinematic ODEs and electromagnetic thermal curves.
Execute numerical surrogate and transient state-space solver.
Assert safety margins: winding insulation temp (<130°C) and shaft shear stress.
Deliver mathematical justification and recommended control feedforward gains.
Increasing continuous torque by 15% accelerates arm trajectory by 42ms (-11% cycle duration). However, steady-state stator winding temperature elevates from 54.2°C to 68.1°C, remaining safely below the Class F 130°C threshold. Recommending a +0.2 Kd boost on the velocity loop to suppress the resulting 4.8 Nm overshoot.
Engineering Connected to Enterprise Operations
Engineering is not an island. Eliminate manual BOM re-entry by synchronizing designs directly into Cuvisoft ERP for procurement, assembly, and service.
ENGINEERING
Parametric CAD models & verified schematics
BOM SYNTHESIS
Automated hierarchical Multi-Level Bill of Materials
PROCUREMENT
Supplier RFQs & automated lead-time optimization
INVENTORY
Just-In-Time stock allocation and warehouse binning
MANUFACTURING
Automated CNC routing, SMT placement, assembly steps
QUALITY ASSURANCE
CMM optical verification & batch serial tracking
FINANCIAL LEDGER
Standard cost accounting & unit margin calculation
AFTER-SALES SERVICE
Field maintenance logs & warranty digital twin
From Digital Design to Physical Production
Bridge the gap between virtual mathematical models and physical production machinery through automated CAM toolpaths and IoT shop-floor telemetry.
Enterprise ERP
Automated work orders, standard cost rollups, and supplier payment cycles.
Global Supply Chain
Real-time vendor inventory lookups and API-automated electronic component orders.
Industrial Machines (CAM)
Direct G-code post-processing for 5-axis mills and additive powder-bed 3D printers.
Shop-Floor IoT
MQTT/OPC-UA machine spindle monitoring, cycle time logging, and tool wear diagnostics.
Engineering Decisions Need Evidence
A rigorous, multi-stage validation framework ensuring that every physical dimension, solder trace, and control loop gain is backed by mathematical and empirical proof.
System Verification & Validation Dossier
Requirements
SysML v2 machine-readable constraints and statutory limits.
Constraints
Geometric clearance envelopes, thermal bounds, and electrical derating.
Simulation
Non-linear multi-physics verification under extreme dynamic loads.
Physical Test
Automated test bench data capture (strain, vibration, thermal cameras).
Quantitative Result
Statistical comparison against empirical pass/fail acceptance bounds.
Multi-Disciplinary Review
Concurrent digital sign-offs from lead systems engineers.
Cryptographic Approval
Immutable SHA-256 baseline freeze stored in the audit ledger.
Engineering Project Dashboard
A live, multi-project cockpit aggregating active CAD models, simulation runs, automated test benches, and supply-chain procurement statuses.
Subsystem Verification Progress
Sprint 12 / 16Automated Verification Jobs
All Nodes HealthyThe Engineering Ecosystem Architecture
From core computational kernels and discipline models to digital twins and physical machines in the field.
CUVisoft Engineering
The Open Modular Platform for Physical Systems
The Open Engineering Loop
Physical systems should continuously improve. Operational telemetry feeds back into mathematical models to automatically drive the next generation of hardware.
DESIGN
Parametric B-Rep solid & SysML requirement definition
MODEL
Rigid-body kinematic & electromagnetic plant modeling
SIMULATE
Coupled non-linear FEA, transient CFD & control verification
BUILD
Precision 5-axis CNC machining, SMT pickup & assembly
MEASURE
1kHz optical encoder & accelerometer vibration telemetry
LEARN
Telemetry ingestion into Cuvisoft Alpha reasoning engine
IMPROVE
Generative topology lightweighting & control gain auto-tuning
REDESIGN
Parametric feedback propagation into next design revision
From Tools to Engineering Intelligence
How organizations progress from fragmented desktop point-tools to a connected, simulation-driven, and AI-accelerated engineering platform.
Isolated Engineering Tools
Desktop CAD, separate SPICE simulators, disconnected firmware IDEs, and manual spreadsheets. Data transfers require lossy manual exports.
Connected Engineering
Unified data schema linking mechanical CAD, electrical netlists, and firmware repositories with automated change tracking.
Simulation-Driven Engineering
Mechanical, electrical, and control code run in unified virtual testbenches before physical fabrication. Rapid iteration in silicon and software.
AI-Assisted Engineering
Physics-informed neural surrogates accelerate solvers by orders of magnitude. AI copilots identify thermal and structural failure points proactively.
Intelligent Engineering Ecosystem
Open, self-healing, closed-loop engineering ecosystem connecting requirement, CAD, simulation, factory robotics, and operational digital twins.
Engineering Knowledge Without Borders
Connecting universities, research labs, open-source maintainers, and manufacturing fabricators into an open global engineering network.
Global Engineers
Independent makers, robotics contributors, and professional systems architects.
Universities
Academic research laboratories contributing verified mathematical solvers and courseware.
Research Labs
Aerospace and robotics institutes auditing materials datasets and physics kernels.
Open Source Projects
ROS2 modules, KiCad libraries, FreeCAD workbenches, and CalculiX post-processors.
Manufacturers & CAM
CNC machine shops, PCB fabrication houses, and additive manufacturing suppliers.
Startups & Enterprises
Commercial builders taking hardware products from CAD sketch to global production.
Why an Open Engineering Ecosystem?
Unlocking exponential innovation by transforming engineering tools from fragmented desktop silos into an open, collaborative, and intelligent infrastructure.
ACCESS
Democratize high-end engineering software previously locked behind prohibitive proprietary licenses.
COLLABORATION
Break down the historical silos between mechanical, electrical, firmware, and software engineers.
REUSE
Stop reinventing standard engineering primitives. Build upon a shared global catalog of verified designs.
SIMULATION
Replace physical trial-and-error prototypes with high-fidelity digital validation before cutting metal.
INTELLIGENCE
Infuse computational reasoning and AI surrogates into every step of the engineering lifecycle.
SCALE
Scale seamlessly from single-engineer prototypes to automated enterprise production and fleet operations.
Building the Linux of Engineering Ecosystems
An open, modular foundation where engineers can build, simulate, connect and intelligentize physical systems.
Build the Future of Engineering.
Join the open, modular ecosystem connecting physical systems with computational intelligence, multi-physics simulation, and automated manufacturing.