Robotics
Empower your robotics solutions with custom-trained AI models that deliver precise embodiment, real-time execution, and streamlined deployment without extensive prompt engineering.
Optimised Plans with Precise Embodiment
Training your own LLM or VLM from scratch allows you to overcome the common limitation of generating homogenous plans that lack embodiment and robustness. Customising the model’s architecture, data, and objectives enables a solution tailored to your specific robotics use case.
Real-time Execution and Embedded Systems
Training your own LLM or VLM from scratch on the Neuralfinity platform gives you the advantage of embedding the model directly into the robotic system, improving response time, customisation, and adaptability for real-time execution. This ensures maximum performance for the model size.
No Need for Extensive Prompt Engineering
General-purpose generative AI models often require carefully crafted prompts and significant time investment. By training your own AI model from scratch, you can design it to understand tasks more effectively out-of-the-box using domain- specific datasets and enhancing it with reinforcement learning or simulation environments. This approach reduces the need for labor-intensive prompt engineering and can lead to cost savings in the long run.