Enhancing Physical AI with Human Insight
Mission
Advance humanity by unlocking and transferring the explicit and tacit knowledge of today, empowering future generations of humans and machines to work, innovate, and thrive together.
Espri is building a multi-vector, multi-modal training dataset leveraging advanced recording methodologies to capture intricate task dynamics across diverse environments. Engineered for adaptability, the dataset is structured in an open format to facilitate seamless interaction through our Smart AI Guided Education platform for human knowledge transfer, integration with physical AI systems, and compatibility with industry formats for advanced robotic system deployment.
Vision
To create a world where the seamless transfer of knowledge transcends boundaries, enabling humans and machines to collaborate, innovate, and achieve extraordinary progress together.
Human Learning
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The Smart AI-Guided Education (SAGE) platform helps human workers acquire explicit and tacit knowledge through video training alongside an AI assistant that can answer any question based on the respective subject matter.
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Espri’s Human Intelligence Virtual Exchange (HIVE) is a secured AI layer on top of your private data sources.
Knowledge Capture
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We provide an on-site data capture service using advanced, standardized recording kits to document tasks in real-world environments. This service ensures the seamless collection of high-quality, multi-dimensional data tailored for both human education and robotic training applications.
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We empower clients to capture their own knowledge by providing standardized recording kits and comprehensive instructions. These kits are designed for ease of use, enabling clients to document their processes effectively while maintaining the high-quality data standards required for both human training and robotic learning applications.
Robotic Intelligence
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Our video datasets are optimized to train robots directly by providing detailed, multi-angle task recordings in an open format. These datasets integrate seamlessly with robotic systems through our API toolkit, enabling precise machine learning applications and improving robotic performance in real-world scenarios.
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We enhance robotic training by extrapolating from our video datasets to generate high-quality synthetic data. Using advanced algorithms, we create simulated scenarios that expand the dataset’s diversity, enabling robots to train on a broader range of conditions and edge cases for improved adaptability and performance.
