Arismachina

Aris Machina develops an agentic operating system for manufacturing, combining AI agents with a unified semantic model that joins design, process and quality data into a single queryable industrial graph. The company describes its architecture as three layers added on top of the existing industrial stack: an interface layer of copilots, agents and shopfloor apps for engineers, operators and managers; an AI orchestration layer of agentic workflows that reason, plan and act across tasks, simulations and decisions; and a knowledge ontology layer that unifies design, process and quality data. These sit above real-time data pipelines connecting MES, ERP, PLM, QMS and integration APIs, and above physical systems including machines, PLCs, sensors and edge nodes streaming telemetry.

The product portfolio comprises Protos, an AI co-engineer and AI-native R&D workspace for frontier R&D and hardware teams that supports simulation and validation work such as rapid design and testing of battery cells and estimating temperature rise in lithium iron phosphate (LFP) cells; Gemba, an agent-based assistant for shopfloor teams aimed at reducing unplanned downtime and quality loss through faster diagnosis across PLC telemetry; and an Ontology Toolkit for bridging knowledge between product and production. The company states Protos with one expert can complete work in two hours instead of 30 days, that Gemba responds 90% faster than manual diagnosis and can troubleshoot more than 300 PLC tags in five minutes, and that the Ontology Toolkit enables 10x faster knowledge integration setup and deployment.

Aris Machina positions its tools for manufacturing industries including batteries, biopharma, robotics, defence, aerospace, automotive, battery energy storage systems (BESS) and consumer electronics.

Founding story

The founders describe originating the company from direct experience in industrial environments: watching operators scan hundreds of telemetry tags to find a single shift in machine behaviour, and battery researchers waiting days for an experiment to confirm what intuition already suggested. They cite time spent beside coating lines where small viscosity drift ruined batches, with cell designers managing many model variants to answer one 'what if' question, and with engineers stitching together data from systems that did not share a common language. The company was set up in Sweden in 2025 by two former executives of bankrupt battery maker Northvolt AB.

Business model

Aris Machina operates a B2B software model, selling subscriptions to its platforms to industrial clients and running pilot programs that let prospective customers test the products before full implementation. Pricing is structured to reflect the complexity of the deployed solution, and the company forms tailored partnerships with clients in sectors such as automotive and consumer electronics to integrate its systems into existing processes. Third-party profiles categorise it as enterprise software / B2B SaaS.

Revenue is generated primarily through subscriptions to the Protos and Gemba software platforms, which provide ongoing access to tools and updates, supplemented by paid or trial pilot programmes; pricing is structured according to solution complexity and client operational needs.

Traction

Reported headcount of 20–50 employees. The company reports customer-facing performance figures for its products, including Gemba diagnosing 300+ PLC tags in five minutes and responding 90% faster than manual diagnosis, and Protos compressing certain R&D tasks from 30 days to two hours. Protos is available via free trial and Gemba and the Ontology Toolkit through pilot access.

Latest developments

Protos, an AI-native R&D workspace with five layers including a Schema Library and a Copilot, was launched in late April 2026 and promoted in May 2026 with free trial access for students, professionals and enterprises. Company blog posts in mid-2026 covered MCP integration extending the Protos R&D stack and a case study on unified cross-domain structural materials analysis. External profiles indicate plans to add products and to expand into further markets with high demand for advanced manufacturing solutions.