Context Graphs and Decision Traces: Building the Data Plane for Agentic AI

Pixeltable is an innovative infrastructure layer designed to capture and manage decision traces in AI systems, shifting the focus from traditional data storage to a more dynamic and contextual approach. Unlike conventional systems that record only outcomes, Pixeltable captures the full decision-making context, including the reasoning and policy versions involved, making this information queryable and versioned for future reference. This architecture, which Foundation Capital identifies as the next generation of enterprise software, emphasizes the importance of context graphs that provide a living record of decision traces across various modalities, such as audio, video, and documents, enabling organizations to build searchable precedents and learn from past decisions. By operating in the write path, Pixeltable processes data in real-time, ensuring that decision contexts are captured and incrementally updated without the need for traditional ETL processes. This capability positions Pixeltable as a critical component for building AI-native systems of record that can support complex decision-making processes and enhance organizational memory through comprehensive and multimodal context graphs.

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