Loading...Loading...Loading...Leveraging state-of-the-art generative models and neural architectures for advanced perception and reasoning.
We developed this open-source framework to bring native Agentic AI to the ROS 2 ecosystem, enabling complex generative reasoning and multi-modal interaction across simulations and physical hardware.
We use Langchain as the orchestration backbone for RAI – our flagship open-source Embodied Agentic AI framework, which enables native integration between LLMs and robotic stacks.
Our primary framework to develop and rapidly iterate over State-of-the-Art perception models, enabling fast deployments for real-time robotic applications.
Reasoning engine powering autonomous agents and synthetic data pipelines, utilized for semantic logic generation and complex scenario planning.
High-context language models leveraged for deep analysis of extensive technical logs and documentation within retrieval-augmented generation (RAG) workflows.
Novel neural architecture designed for efficient edge inference, enabling adaptive Physical AI and real-time decision-making on constrained hardware.
Managed cloud interface for serving foundation models, providing the secure infrastructure layer to scale generative AI across simulation and data pipelines.
Multimodal architecture applied to process synchronized video and telemetry, supporting automated labeling and anomaly detection in perception data.
Open-weight models fine-tuned for specialized engineering tasks, enabling secure, air-gapped deployments independent of external cloud APIs.