LindiSims
Play Rally Game

Take a drive.

A browser driving experiment. Play loads the external game; Close ends this session.

Open the game in its own tab ↗

Choose Play, then Start inside the game. Close ends this session.

Open separate game tab ↗

Keyboard W/A/S/D or arrows to drive; Space for handbrake; R to restart. Touch and gamepad controls are built into the game but have not been tested on physical devices.

INDEPENDENT SIMULATION TECHNOLOGY · USA

Physics Worth
Playing. Engineered for More.

We’re developing reusable simulation software for games, engineering research, physical AI, and human instruction.

Start with Rally, a playable browser experiment.

Play Rally Explore modules
PLAY / TEST / TRAIN / LEARNReusable tools in development.
AI-generated illustration of an unbranded blue RC vehicle on a dirt practice track. PLAYInteractive experiences
AI-generated virtual crank-slider mechanism with illustrative motion poses and trajectories on a digital grid. TESTEngineering & experimentation
AI-generated virtual objects with a camera frustum, bounding boxes and conceptual segmentation and depth views. TRAINSynthetic data & physical AI
AI-generated illustration of an exploded wooden side table, lower shelf, bolts and washers. LEARNHuman instruction

AI-generated illustrations.
Overlays are illustrative, not measured results.

FOUR APPLICATIONS, ONE RESEARCH DIRECTION

Play, Test, Train and Learn

These are areas we are exploring, not released capabilities.

01 / PLAY

Make it feel right.

We’re exploring tunable motion and control models that help games and interactive worlds respond naturally to players.

02 / TEST

Make experiments repeatable.

Our goal is to help teams rerun defined scenarios, compare results, and understand where each model can be trusted.

03 / TRAIN

Make data useful.

We aim to generate documented synthetic data for AI research, then measure how well it supports real-world tasks.

04 / LEARN

Make the steps clear.

We’re developing interactive guides that let people inspect parts, rehearse assembly, and revisit each connection.

PRODUCTS WE PLAN TO BUILD

Small tools.
Bigger possibilities.

We plan to turn focused research into reusable software. No packs are available for download or purchase yet. Each release will explain what it does, how to use it, and what has been tested.

Behavior Packs

Reusable dynamics and control models.

Planned

Scenario Packs

Repeatable conditions and test cases.

Planned

Evidence Packs

Tests, comparisons and model limits.

Planned

Data Packs

Documented, labeled simulation data.

Planned

Integrations

Adapters for established tools and engines.

Planned

WHERE OUR RESEARCH COULD HELP

From interactive worlds
to practical experiments.

Different applications need different levels of detail and evidence. A great game simulation is not automatically an engineering model.

APPLICATION / 01

Games & Interactive Experiences

Tunable motion, contact and control behavior that developers can shape around the experience they want to create.

Explore the driving experiment
APPLICATION / 02

Engineering & Research

Defined test scenarios, documented assumptions and numerical results. Any engineering use will need evidence specific to that application.

Explore the testing direction
APPLICATION / 03

Robotics & Physical AI

Simulation-based experiments and synthetic observations for developing and evaluating systems that interact with the physical world.

Explore the data direction

LEARN · HUMAN INSTRUCTION In development

Understand the parts.
Build with a clearer view.

LEARN helps people follow an assembly or disassembly sequence. TRAIN prepares machine-learning systems with synthetic observations. They serve different learners.

AI-generated illustration of a wooden side table separated into its parts and hardware.

See each connection.

Our planned guides bring parts, viewpoints and step navigation together. People can explore a connection, replay its motion, or work backward through disassembly.

Instruction guides are in development. There is no public manual module yet; this illustration is a concept, not a tested instruction sequence.

Explore the guide direction

DISTRIBUTED RESEARCH FOUNDRY

Small laboratories.
Ambitious software.

Our approach brings simulation software, documented experiments and practical measurements together. We aim to test ideas against repeatable results before releasing reusable tools. AI can help us explore approaches; it does not establish physical accuracy or readiness.

USA · INDEPENDENT RESEARCH

01 / PHYSICAL SYSTEMSBuild. Instrument. Measure.Hardware prototyping · calibration · simulation
02 / COMPUTE SYSTEMSModel. Render. Evaluate.GPU experiments · profiling · data workflows

FIRST PROVING GROUND IN DEVELOPMENT

Vehicle Dynamics
Study 01.

Our first research direction begins with a controllable vehicle chassis. We want to explore how it feels to drive, how consistently it behaves in repeatable tests, and what useful data the model can produce.

This work is being developed in a separate repository. Rally is a separate playable browser experiment, not a demonstration of this proposed model. There is no public SDK or validated engineering model yet.

Play the separate Rally experiment

OPEN FOUNDATIONS, CLEAR RIGHTS

Open where it helps.
Clear about the rights.

We intend to publish selected software under recognized open-source licenses while offering separately licensed specialist products and support. Each release will explain its permissions, dependencies and limits. Our current repository contains company-site code, not a downloadable physics engine.

Read our licensing approach

Explore modules and research directions

The existing Rally experiment is playable inline in its module showcase and through the Rally drawer. Our reusable research tools remain in development; no public dataset or compute service is offered.