FieldAI a robotics AI software developer has secured $405 million across two funding rounds led by Bezos Expedition Prysm and Temasek this month with $315 million in primary investment. The company's investor list includes NVIDIA and Intel's venture capital divisions while its valuation has surged from $5 billion to $20 billion since last year.

The platform enables robotic systems to navigate complex environments through its proprietary Field Foundation Model (FFM) AI architecture which FieldAI claims outperforms traditional neural networks for robotic applications. This foundation model eliminates the need for custom software development for different robot types currently operating across humanoids autonomous vehicles and multiple system architectures.

FFM training combines real-world data collected from deployed client sites with synthetic datasets generated through NVIDIA's Isaac Lab tool which supports thousands of robotic simulations. The system allows multiple FieldAI-powered robots to coordinate within the same facility using risk-assessment algorithms that calculate confidence levels for navigation decisions - enabling clients to override actions exceeding safety thresholds.

Traditional site mapping for new deployments typically requires weeks of work and fails in dynamic environments like construction zones. FieldAI's technology removes this requirement by operating without maps GPS access or predefined paths significantly reducing deployment complexity.

Over 500 industrial sites now utilize the platform for construction site monitoring and factory equipment inspections according to CEO Ali Agha who emphasized their "risk-aware architecture" approach over forcing large language/visual models into robotic systems. The company plans to double its workforce by year-end to accelerate engineering and expand global operations as it prepares for its next phase of growth.