Complex manufacturing faces three hurdles: fragmented systems and siloed data; incompatible technologies; and unpredictable deployment cycles. Existing solutions are clunky and costly, struggling to integrate across systems and deliver the agility and intelligence modern manufacturing demands.
Aris is building a digital twin of advanced manufacturing plants, creating the foundation for real-world LLMs. An AI-native architecture designed to modernise and unify factory shop floor systems through integrated data, domain-specific intelligence, and real-time AI applications.
AI is moving from the digital world into the physical world, and manufacturing is one of its biggest frontiers. Sid and Peter bring unmatched experience from Apple and Northvolt, giving them rare insight into the data complexity that holds factories back. They’ve assembled a “AAA” team at unprecedented speed and built the most concrete, technically credible vision we’ve seen for AI-native manufacturing. Aris’ digital twin architecture isn’t an incremental tool—it’s the foundation for real-world LLMs on the factory floor. And the founders’ hard-earned scars from past industrial battles give them the clarity and conviction to build what comes next.
By embedding intelligence across the factory lifecycle, Aris enables faster, cleaner, and more adaptive manufacturing. Field deployments show substantial gains in throughput, defect reduction, and commissioning speed, with corresponding reductions in scrap, energy use, and downtime. Aris has the potential to play a pivotal role in enabling resource-efficient production in climate-aligned sectors, such as batteries, EVs, and advanced manufacturing.
