Accelerating the real-world adoption of physical AI.

The Problem

Robots today require constant human supervision and inefficient memory management.

• Manual updates required
• Unguided search across all stored memory
• More than 4 minutes per query
• Old information becomes overcrowded by new data
• No prioritization of high-value memory

Expensive, time-consuming, and limits autonomy and scalability

Our Core Belief

• Robots can see.
• Robots can remember.
• Robots cannot understand what matters.

The Solution

Ariadne Memory Agent — A memory agent as a SaaS for robots with vision and navigation operating in constrained environments.

Technology

Built on proprietary architecture:

• Proprietary Dual-System Memory (DSM)
• Agentic workflow
• Query-specific memory system
• Hierarchical Memory Forest
• Memory categorization by relevance and change

Performance: Reduces embodied navigation reasoning time, finds relevant objects faster with fewer false searches, and improves long-term reliability in real-world environments.

About

Ariadne Labs is accelerating the real-world adoption of physical AI through persistent spatial-semantic memory agents.

Researchers and engineers from Stanford University