Three Layers,
From Foundation to Delivery
The LongTech foundation is the bedrock. InfiniCase and AIGround run as dual engines. The result reaches industry as training datasets and Smart-series agents — a complete value chain from core capability to data production to agent delivery.
- Layer 1 · LongTech Foundation — A shared capability base carrying the platforms above it
- Layer 2 · Dual Engines — Data factory × training ground, each reinforcing the other
- Layer 3 · Products — Datasets and Smart agents delivered straight to industry
A fully automated production line for industrial training data, with order-of-magnitude efficiency gains
A fully internal loop of training, competition and evaluation — from data to delivered agent
LongTech Foundation
The bedrock of the whole architecture: shared cross-layer capabilities that give both the data factory and the training ground access to consistent, high-fidelity simulation.
- WYSIWYG scene editing and digital-twin construction
- Industrial-grade precision, with rendering and physics simulated on the same screen
3D Modeling
Industrial-precision mesh modeling with parametric editing, interoperable with mainstream CAD formats.
Physics Simulation
A high-fidelity engine covering rigid bodies, cables, ropes and soft terrain, keeping training data physically plausible.
Scene Rendering
High-fidelity real-time rendering with ray tracing and PBR materials, keeping data visually realistic.
XR Interaction
A multi-modal interaction framework for immersive debugging and presentation of training environments.
Interfaces & Protocols
Standardized data pipelines and an industrial communication adapter layer that connects directly to real equipment.
Generative AI
Integrated generative world models and multimodal LLMs for automatic scene generation and text-driven asset creation.
SimReady Assets
A library of simulation-ready digital assets — equipment, scenes and materials, standardized and ready for simulation production.
Independently Developed
Developed fully in-house, giving customers control over data security and technology independence.
On-Premise Deployment
The foundation can be licensed for on-premise deployment, keeping all data inside your own environment.
InfiniCase Data Factory
The platform that sets LongTek apart from conventional digital-twin vendors: Ez-series tool agents form a fully automated training-data production line — orders of magnitude more efficient than manual dataset building, and able to produce data at scale against any distribution you need.
EzScene
Automatically assembles scene elements, lighting and object layouts to match task requirements, generating diverse simulation environments in bulk and removing the manual scene-building bottleneck.
EzMockup
Builds high-fidelity digital twins with geometry, material and kinematic attributes directly from design files or point cloud data.
EzDynamics
Automatically configures physical constraints and joint parameters so simulated data exhibits realistic dynamics.
EzWorld
Trains scene-level world models on existing data to widen diversity and generate rare or hazardous operating conditions.
EzSensor
Deploys virtual sensors automatically, captures multi-modal data at scale and completes precise automatic labeling, outputting ready-to-use training sets.
CosmoTwin
A dedicated production line for aerospace scenarios, now producing the AstroNex dataset.
See the dedicated section below
Turning real industrial scenarios into standardized data assets that AI models and agents can actually be trained on.
CosmoTwin Aerospace Data Line
InfiniCase's dedicated data production line for the aerospace sector, focused on complex assembly, system-level testing and operations scenarios, producing simulation datasets that meet aerospace-grade accuracy requirements.
- End-to-end coverage of satellite constellation and in-orbit assembly scenarios
- Produces AstroNex, a dataset for space mission control research and training
- Independently developed, giving customers control over technology independence
AIGround Agent Training Ground
InfiniCase supplies the data; AIGround consumes it and turns out agents. The Ez series completes the entire internal loop — from training through validation — for industrial AI agents.
- Extreme environments covered — from the factory floor to lunar surface operations
- Training · competition · evaluation in a fully internal loop
EzRL
Automatically configures RL hyperparameters, training curricula and reward functions, adapting to the specifics of industrial tasks and dramatically lowering the barrier to applying RL.
EzNPC
Builds intelligent NPCs that compete against the agent in training, using adversarial pressure to keep improving robustness and generalization.
EzEval
Evaluates automatically across multiple dimensions and scenarios against predefined industrial task metrics, outputting standardized reports that support fast iteration decisions.
Smart Series Production-Grade Agents
Where the data factory and training ground pay off: every Smart agent goes deep into a specific industrial scenario, delivering professional decision support and task execution. Available by subscription and API.
SmartErgo
Automated ergonomics assessment covering posture, force, sight lines and reach — replacing manual EAWS / REBA analysis and moving ergonomics compliance from post-hoc sampling to design-time evaluation.
SmartViz
Fused visualization of multi-source engineering data, anomaly detection and automated report generation — turning scattered engineering data into decision-ready insight.
SmartWire
Automatic 3D harness path planning, interference detection, weight and cost optimization — moving harness design from manual trial and error to intelligent generation.
AstroNex Dataset
Built on the twin foundation, producing high-fidelity, multi-scenario, multi-modal industrial training data fully automatically, with support for custom scenario distributions and rare or hazardous conditions.
Before you reach out,
here are the answers
What do the three layers correspond to?
Layer one is the digital-intelligent twin foundation: 3D modelling, physics simulation, scene rendering, XR interaction and generative models. Layer two holds the two engines, InfiniCase the data factory and AIGround the agent training ground. Layer three is the Smart-series product agents and the AstroNex dataset, delivered directly to industry customers.
Can InfiniCase and AIGround be used separately?
Yes. The data factory can produce and deliver training data on its own, and the training ground can take external data for training, adversarial play and evaluation. The flywheel is strongest when both are connected, but neither depends on the other.
Are the Ez-series tools sold separately?
The Ez series are tool-level agents inside the data factory and the training ground, provided with the corresponding platform. They cover scenario generation, mock-up assembly, dynamics, world building, sensors, reinforcement learning and evaluation.
What is the CosmoTwin aerospace data line?
A dedicated data line for aerospace. It layers aerospace operating conditions, components and mission constraints on top of the general data factory to produce high-fidelity training data that meets the requirements of that domain.
What format is the data delivered in, and can it feed our existing training framework?
Delivery is a labelled multimodal dataset, organised into the directory and annotation format your training framework expects. The exact fields and protocol are best aligned once during the demo, against your real pipeline.
Do you support on-premise deployment?
Yes. The platform is built in-house and can be deployed locally, meeting the data-security and technology-autonomy requirements of defence and aerospace programmes.
We want to evaluate fit. Where do we start?
Start from a set of real operating conditions. Bring one concrete scenario to the technical demo and we will map a feasible path for data production and training validation before discussing scope and timeline.
Want to see the data factory in action?
Book a technical demo. We will walk through the full chain, from data production to agent delivery, using scenarios from your own industry.