Partenit provides Profession Packs, pre-trained skills that enable humanoid robots to deploy quickly across various hardware platforms without cloud dependency. Their DeepContext AI uses ontological memory to give robots long-term knowledge, allowing fleet-wide learning and contextual adaptation. This system lowers operational costs by transforming robots from rigid executors into adaptive workers with accumulated experience.
Funding
Funding not disclosed
Founders
Product
Problem
AI models often struggle with retaining context and remembering past interactions, leading to fragmented and impersonal experiences. Traditional databases lack the ability to understand and organize information in a way that mirrors human cognition, limiting the potential for personalized and meaningful AI interactions. This lack of persistent memory hinders the effectiveness of AI in applications requiring long-term recall and contextual understanding.
Solution
Partenit: DeepContext AI provides an ontological memory system designed to equip AI applications with structured, long-term recall capabilities. Unlike typical databases, DeepContext AI organizes data into concepts and relationships, enabling AI to understand and recall information in a human-like manner. The system employs multiple layers of memory, including short-term, long-term, and global memory, to ensure relevant and coherent interactions. By structuring AI knowledge in a meaningful way, Partenit enables businesses to unlock genuine value from their data, creating AI experiences that are more personalized, reliable, and context-aware. The AI BOX offering provides a ready-to-use hardware and software solution powered by a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) technology, offering full autonomy, security, and privacy for working with AI without an internet connection.
Target Audience
Partenit targets AI product teams, enterprise and SaaS companies, healthcare and education providers, and tech partners and research institutions seeking to enhance their AI solutions with structured, secure, and deep data insights. The AI BOX is designed for enterprises that need full control over their data and require a secure AI solution without internet dependency.
Features
- Ontological Experience Mapping: Transforms robotic experiences into living knowledge graphs.
- Contextual Intelligence Retrieval: Understands not just what happened, but why, enabling robots to predict, adapt, and make nuanced decisions.
- Autonomous Learning Evolution: Machines transform from rigid executors to adaptive entities.
- Short-Term Memory: Remembers immediate interactions, ensuring current conversations remain relevant and coherent.
- Long-Term Memory: Keeps historical interactions accessible, enabling meaningful personalization over extended periods.
- Global Memory: Provides AI access to standardized company knowledge or resources shared across multiple users or systems.
- AI BOX: On-premise AI assistant built for enterprises that need full control over their data, combining LLM performance with the power of RAG.
- Customizable software to match specific business requirements.