Novigens delivers an Operational Twin for factory machine. CES 2026 framed the Industrial AI Revolution: machines should reason about themselves, not just report numbers. We deliver exactly that, on edge. We enable machines reason with "Why" and "What" to do, from day one.

Capital-efficient · sub-$100K. No GPU farm. 
Immediate-value · in days. No 12-month integration. 
IP-sensitive · on-edge. Engineering & process data never leaves the building.

What makes this different
· PhD-level AI research & engineering lineage from Apple, GE Digital, and Oracle. We were the original Apple design team that designed machine intelligence and machinery for bleeding-edge technologies, for the highest-capacity manufacturers.
· One-shot learning, not gradient training. We model engineering intent directly from the artifacts your team already maintains. No data lake. No 12-month FDE engagement. No SOPs or manuals written just for AI to parse.
· On-premises by architecture. Single-appliance install. Air-gappable. Engineering IP stays on the floor. Cloud inference, when needed, routes through your own enterprise account, not ours.
· Built for fast-iterating equipment. The Operational Twin iterates with the machine through Active learning with every new operational data, instead of becoming a burden every new design must accommodate.
· Complements the Physical-AI Digital Twin approach by providing immediate operational value to OEMs and operators on day one (MTTR, MTBF, OEE, NPI cycle, knowledge retention, RCFA), while Physical-AI gradually takes its shape over the long-arc to provide design-time value.

We're working with a small number of advanced OEMs and manufacturers in semiconductor handling, electronics assembly, specialty automation, and advanced industrial OEMs. Adjacent equipment classes coming next.

Multiple patents filed or allowed, so partners have freedom to operate. Supported by semicap OEM operators. All engagements under mutual NDA.

Contact: partners@novigens.com

Novigens

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Novigens

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