SHORTList
Enterprise SaaS
Industrial/Manufacturing
AI/ML

Lumaril

AI-powered autonomy software for industrial production

CORE INFO

$78M
Total Funding
Series A
Round
2025
Founded
New York City, United States
Headquarters

Lumaril sells software to manufacturers and other industrial operators that want to improve production at existing facilities without replacing their control systems. Its platform models plant operations in real time and can recommend or make controlled adjustments to operating parameters, with the goal of increasing throughput, yield, and reliability.

  • Series A funding totaled $66 million at a reported $400 million valuation, with Elad Gil identified as lead investor; the round was announced October 27, 2026.wsj.comnewsletter.strictlyvc.com
  • The Wall Street Journal reported that Lumaril is focused on converting experienced factory operators' tacit knowledge into repeatable operational decisions.wsj.com

WHY WE WOULD WORK AT LUMARIL

Raise Industrial Capacity

Help make every facility operate closer to its true capacity. Lumaril's mission is to improve throughput, yield, reliability, and waste without replacing existing industrial infrastructure.

Build Physical Autonomy

Work on a control layer that combines AI, machine learning, classical controls, and audio and visual sensors. The platform models live facility operations and can adjust setpoints and control logic through a safety layer.

Learn From Industry Experts

Collaborate directly with experienced plant operators and customers in live industrial environments. Lumaril's team turns field lessons and tacit operational knowledge into repeatable product capabilities.

Join Early Momentum

Shape a company founded in 2025 that has raised approximately $78 million, including a reported $66 million Series A. Early employees can have meaningful influence as the product and organization take form.

Solve Hard Integration Problems

Connect modern autonomy software to SCADA, PLCs, MES, and other existing control systems. The no-rip-and-replace approach makes the work technically demanding—and immediately relevant to real facilities.

Tie Work to Outcomes

Lumaril says it is paid based on the production it adds, aligning the business with measurable operational gains. Your work can directly affect throughput and reliability across manufacturing, chemicals, biologics, agriculture, and other industries.

MARKET AND TRACTION

MARKET POSITION

  • Lumaril operates at the intersection of industrial automation, industrial AI, process optimization, operational technology, and physical-world autonomy.

  • Its target industries include manufacturing, chemicals, biologics, oil and gas, agriculture, and polymers.

    • KEY METRICS

    ✦ KEY METRIC
  • Lumaril has reportedly raised $78M in total funding, including a $66M Series A announced in October 2026.

  • The Series A was reported at a $400M valuation, with Elad Gil as lead investor and participation from Felicis, Koch Disruptive Technologies, Pax Ventures, Lux Capital, and General Catalyst.

  • The company was founded in 2025 by Mark Elliot and Ben Duffield, both formerly associated with Palantir.

    • GROWTH TACTICS

  • Lumaril uses a no-rip-and-replace approach, integrating with existing industrial control systems and supplementing them with operational data, AI, machine learning, and audio and visual sensors.

  • Its outcome-based commercial model ties payment to the production it adds, aligning revenue with customer performance gains.

    • CUSTOMER TRACTION

  • Lumaril says it is working with multiple facilities and has achieved meaningful efficiency gains, but it has not publicly disclosed customer names, deployment counts, revenue, or quantified production improvements.

  • Publicly referenced operating environments include grain elevators, plastics recycling facilities, and metal fabrication plants; the available research does not confirm specific operators as paying customers.

    • COMPETITIVE ADVANTAGE

  • The platform combines AI and machine learning with classical control methods, real-time operational modeling, industrial-control integration, and a safety layer capable of adjusting setpoints, control logic, and coordination.

  • Lumaril's founders' prior experience creating Palantir Foundry and the company's performance-linked pricing model differentiate it from conventional industrial analytics software vendors.

    • PRODUCT AND TECH

    Industrial Autonomy Layer

    Software that operates as an autonomy layer for physical production, helping facilities improve throughput, yield, reliability, and use of existing infrastructure.

    Control System Integration

    Connects with existing SCADA, PLC, MES, and other industrial control systems through a no-rip-and-replace approach.

    Real-Time Operational Models

    Continuously ingests operational data and event-driven information to build live models of facility behavior and production conditions.

    AI Control Optimization

    Combines artificial intelligence, machine learning, and classical control methods to recommend or determine optimal production actions.

    Sensor Safety Layer

    Uses audio and visual sensors alongside a safety layer to support controlled adjustments to setpoints, control logic, and equipment coordination.

    COMPANY CULTURE

    Values

  • Real-world impact over abstract demonstrations

  • High ownership and personal agency

  • Respect for experienced industrial operators

  • Safety-conscious autonomy

    • Operating Principles

  • Improve existing infrastructure without a rip-and-replace approach

  • Build software for real-world consequences

  • Prioritize practical deployment and measurable production gains

  • Adapt as facts and field conditions change

    • Work Style

  • High autonomy in an early-stage environment

  • Direct collaboration with industrial customers

  • On-site work in operational facilities

  • Fast, iterative execution

    • Learning & Growth

  • Transfer lessons from customer deployments into the core product

  • Combine AI, machine learning, classical control, and operational expertise

  • Learn continuously from complex industrial environments