Auto-routing middleware for manufacturing computational
This technology is a recommendation engine that automatically suggests the best computational processing pipeline for a given manufacturing dataset. It works by characterizing both the datasets and the available pipelines mathematically, then using a matrix-completion technique—similar to how Netflix fills in missing movie ratings—to predict which pipeline will perform best even when historical performance data is sparse. The system ranks candidate pipelines and outputs a top recommendation, reducing the need for expensive trial-and-error experimentation. It is designed for 'cyber-manufacturing' environments where cloud-based simulation or analysis services process industrial data at scale.
What you could build
A middleware or SaaS layer embedded in industrial cloud platforms that automatically routes manufacturing datasets to the optimal analysis or simulation pipeline; target buyers are cloud manufacturing platform vendors (e.g., CAD/CAM SaaS, digital twin platforms) and large industrial enterprises running high-volume computational workflows.
Who in Virginia should care
Defense and government contractors in Northern Virginia running large-scale computational manufacturing or simulation workloads, as well as AWS/cloud-adjacent firms in the NoVA tech corridor, would have operational interest.
Readiness: Concept
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Ran Jin, Xiaoyu Chen
- Filed
- Patent pending — filed February 10, 2022
- Status
- Application
- Publication number
- US20220261696A1
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.