Lumaril

Lux CapitalLux CapitalLux Capital is a U.S. venture capital firm founded in 2000 by Peter Hébert, Josh Wolfe and Robert Paull, with offices in New York and Silicon Valley. Focused on emerging science and technology, the firm backs companies in fields including life sciences, artificial intelligence, robotics, manufacturing, aerospace and defense through fund investments and by helping to found companies.Open the full entry dates its investment in Lumaril to 2025. Its company profile emphasizes codifying operator expertise, using event-based data for near-real-time operational decisions, and applying deep learning to adaptive control of complex industrial systems.⁠[1]

The September 14 privacy policy identifies Lumaril Corporation, headquartered in New York. Customer data can include audiovisual and operational information from factory sensors, processed under customer instructions. Retention, deletion or return follows the customer agreement.⁠[2]

The company announced a $66 million Series A at a $400 million valuation, bringing total funding to $78 million. Elad Gil led, with FelicisFelicisFelicis (whose funds and earlier brand use the name Felicis Ventures) is a venture capital firm based in Menlo Park, California, founded in 2006 by former Google product manager Aydin Senkut; it has invested in companies including Shopify, Canva and Adyen.Open the full entry, Koch Disruptive Technologies, Pax Ventures, Lux Capital and General CatalystGeneral CatalystGeneral Catalyst (GC) is an investment firm founded in 2000 and headquartered in San Francisco, United States, created by Joel Cutler, David Fialkow and Bill Fitzgerald, that backs companies from the seed stage through growth.Open the full entry participating.⁠[3]

The announcement named Ultra-Poly and The Arthur Companies and offered plants Monocle, an AI-enabled PLC historian, free of charge.⁠[3]

Co-founders Mark Elliot and Ben Duffield both helped create Palantir Foundry. Elliot was Palantir’s commercial CTO; Duffield led the Foundry group.⁠[4]

The platform connects existing controls and audiovisual sensors, builds live models, combines classical control with AI, and adjusts setpoints and logic through a safety layer. Its stated goals include greater throughput, yield and reliability.⁠[4]

Its autonomy-engineering description treats factories as partially observable dynamic systems, applying perception, state estimation, control and simulation. The team starts with classical methods, then accumulates data and models for more adaptive policies. A foundation model that generalizes across industrial hardware remains a stated long-term goal.⁠[5]

The operations description sets out a delivery process: understand workflows and data, agree pilot metrics, requirements and timing, then coordinate hardware installation, launch and adoption. Operators connect customers with product teams, translate site problems into requirements, and track deployment speed and adoption across facilities.⁠[6]

The product-design description identifies operators and engineers as core users. Interfaces are intended to explain what the system sees, plans and why. Work includes visualizing live machinery states, sensor inputs, models and multistep plans, with repeated testing alongside real plant operators.⁠[7]

The company targets manufacturers, chemical producers, and food and agricultural processors. Fees are tied to added production, with a focus on existing facilities.⁠[8]

In a public introduction, Elliot said the team had spent the preceding year deploying learned models at multiple facilities to operate equipment alongside experienced operators. The company aims to preserve and spread unwritten operational knowledge through direct site engagement. Reported efficiency benefits are the founder’s account.⁠[9]