10 de mayo de 2026
Old World Labs now focuses on AI automation across hardware and software environments, but that work is built on a longer technical history: precision optics, nano-scale additive manufacturing, robotics, simulation, and research-grade fabrication. This page collects the most useful public references for that record and connects them to OWL's current automation direction.
For the personal founder record and the companion research page, see Nick Liverman's live article: 3D micro-mirror lithography mass production.
SPIE and Micro-Mirror Lithography Context
The SPIE/proceedings material and 3D micro-mirror lithography bibliography are relevant because they frame the broader research area around optical patterning, projection, and precision fabrication. Those themes connect directly to Old World Labs' early work in high-resolution stereolithography and the technical path from digital design to physical output.
OWL Nano and MC-Series 3D Printing Coverage
Independent coverage from 2014 and 2015 documented OWL's public positioning around high-resolution 3D printing, research-grade systems, and the MC-series printer line. These sources are useful for search because they establish third-party context around the company's precision manufacturing background.
- 3D Printing Industry: OWL unveils nanoscopic 3D printers at CES
- 3DPrint.com: OWL MC-1 and MC-2 coverage
- Live Science: CES research-grade printer coverage
- MAKE: OWL Nano at CES 2014
- American Libraries: 3D printing at CES 2014
Patents and Applied Research
Patent and applied-research references help connect the public record to actual technical work. OWL's precision-manufacturing background is especially relevant when automation projects require fixtures, optics, microfluidics, robotics, or physical systems that cannot be solved by software alone.
- Justia: Old World Labs patent records
- Justia: US Patent 10,086,566
- VA artificial-lung research using 3D-printed microfluidics
Why This Matters for 2026 Automation
Industrial AI automation is strongest when it understands real constraints: hardware interfaces, sensor data, mechanical tolerances, operator workflows, validation, and deployment risk. OWL's research and 3D-printing history gives the company a practical base for automation that spans both physical and digital environments.
Current OWL work applies that background to:
- AI automation for industrial hardware and software systems
- Robotics and machine integration
- Digital twins, simulation, and Unreal Engine environments
- Software agents for internal workflows and operations
- Advanced manufacturing support when automation needs physical parts
To discuss a project, email info@oldworldlabs.com.