Products
Models don’t fail because they lack data—they fail because they lack the right structure. Our products provide spatial reasoning data and evaluations built around real environments, real interactions, and real failure modes.
We help teams train, test, and deploy models that understand state, predict outcomes, and act reliably over time.
Spatial Reasoning Data for World Models
Nitrode provides spatial reasoning datasets for training world models to learn environment dynamics and state transitions over time. Scenarios are custom-designed based on each enterprise’s target use cases and internal benchmark results, with controlled variation in complexity, object density, interaction depth, and temporal horizon. This ensures models are trained on the specific dynamics they must handle in production, enabling accurate prediction, planning, and long-horizon reasoning.
Spatial Reasoning Data for Multimodal, LLM and Agentic Systems
Nitrode provides spatial reasoning data for multimodal and agentic models, tailored to enterprise use cases and benchmarks. The data aligns vision, spatial state, actions, and language to enable environment-aware decision-making, reliable instruction following, and multi-step execution under partial observation.
Evaluations
We provide evaluation datasets and internal benchmark testing to measure how well models reason about space, time, and interaction. Our evals test capabilities such as occlusion-aware state tracking, action-outcome prediction, trajectory reasoning, and multi-step consistency, tailored to each client’s use cases and failure modes. This gives teams clear signals to diagnose weaknesses, track progress, and validate real-world performance gains.