xandrlabs.ai — From Prototype to Production Systems
Xandr Labs builds infrastructure for AI systems with traceable, attributable outputs.
- Structured
- Traceable
- Attributable
A protocol for canonical, attributable knowledge in AI systems.
Defines:
- How knowledge is represented as canonical Knowledge Blocks (KBs)
- How outputs are linked to sources through lineage
- How identical inputs produce deterministic, verifiable results
- How attribution and value distribution can be computed from lineage
The runtime and API infrastructure layer built on ALX Protocol.
Defines:
- Executing and orchestrating AI workflows in production
- Enforcing policy, reliability, and deterministic handling paths
- Preserving traceability and attribution at runtime
Xandr Labs currently focuses on:
- Defining the ALX Protocol
- Building the Xandr infrastructure
Applied products (e.g., learning systems) will be built on top of this foundation.
Early-stage. Core protocol and infrastructure are under active development.
- General inquiries: team@xandrlabs.ai
- Technical discussion: open an issue in the relevant repository