Reasoning infrastructure for intelligent machines.
Auxiliary aux·il·ia·ry (adjective)
Providing additional help and support.
Industrial systems generate massive operational and quality data, but when autonomous machines encounter
anomalies, they escalate and halt, waiting for human intervention. Auxiliary Machines is building the
reasoning infrastructure to close that gap: eventually, vision-language-action and vision-language
models capable of System II-level reasoning, so machines can work through failures instead of stopping.
The goal is autonomous, long-running, helpful machinery, in the millions.
Lattice is our first
product, built on the same idea: quality teams in high-stakes manufacturing (medical devices, pharma and
biotech, semiconductors, and mobility) need investigations that don't stall the line. It reconstructs
failure timelines, maps causal relationships across equipment, process, and environmental data, and
produces audit-ready reports in standard formats like 8D and CAPA. It's a first step toward the System
II-level reasoning that lets machinery run longer through anomalies and failures, instead of stopping.
We're starting with high-stakes manufacturing, then expanding to robotics, infrastructure control
systems, and anywhere intelligent machines need to operate independently.
