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.
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
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.
Industrial-precision mesh modeling with parametric editing, interoperable with mainstream CAD formats.
A high-fidelity engine covering rigid bodies, cables, ropes and soft terrain, keeping training data physically plausible.
High-fidelity real-time rendering with ray tracing and PBR materials, keeping data visually realistic.
A multi-modal interaction framework for immersive debugging and presentation of training environments.
Standardized data pipelines and an industrial communication adapter layer that connects directly to real equipment.
Integrated generative world models and multimodal LLMs for automatic scene generation and text-driven asset creation.
A library of simulation-ready digital assets — equipment, scenes and materials, standardized and ready for simulation production.
Developed fully in-house, giving customers control over data security and technology independence.
The foundation can be licensed for on-premise deployment, keeping all data inside your own environment.
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.
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.
Builds high-fidelity digital twins with geometry, material and kinematic attributes directly from design files or point cloud data.
Automatically configures physical constraints and joint parameters so simulated data exhibits realistic dynamics.
Trains scene-level world models on existing data to widen diversity and generate rare or hazardous operating conditions.
Deploys virtual sensors automatically, captures multi-modal data at scale and completes precise automatic labeling, outputting ready-to-use training sets.
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.
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.
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.
Automatically configures RL hyperparameters, training curricula and reward functions, adapting to the specifics of industrial tasks and dramatically lowering the barrier to applying RL.
Builds intelligent NPCs that compete against the agent in training, using adversarial pressure to keep improving robustness and generalization.
Evaluates automatically across multiple dimensions and scenarios against predefined industrial task metrics, outputting standardized reports that support fast iteration decisions.
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.
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.
Fused visualization of multi-source engineering data, anomaly detection and automated report generation — turning scattered engineering data into decision-ready insight.
Automatic 3D harness path planning, interference detection, weight and cost optimization — moving harness design from manual trial and error to intelligent generation.
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.
Book a technical demo. We will walk through the full chain, from data production to agent delivery, using scenarios from your own industry.