Modern enterprise office workspace with multiple monitors showing data dashboards, dark atmospheric environment with low lighting and professional setting

LIVE · $0.2M ARR · SEED ROUND OPEN

Building the Operating Stack for Manufacturing

Domain AI trained on industrial ground truth — not public data. Rubicr connects your ERP, IoT, and financial systems, reasons in context, and triggers decisions before they hit your P&L.

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$3.1T

Lost annually due to poor data and fragmented systems

IDC, 2025

26%

Enterprise data used for decisions

IBM, 2025

Disconnected Systems

ERP, IoT, SCADA, and financial systems were built to store transactions — not to share intelligence. Data exists everywhere; insight exists nowhere.

80%

Enterprise AI projects fail

due to poor industry context

Generic AI Fails

A generic model cannot reason about the relationship between a refinery's asset degradation, its energy costs, and its credit exposure. Context is not optional.

30%

Enterprise data systems connected

to a single intelligence point

Costly Blind Spots

The data relationships are fundamentally different from a bank to an auto manufacturer. This context must be encoded from operational ground truth — not guessed.

CEOs

Cannot link operations to financial outcomes — growth bottlenecks and risks remain invisible until they hit the P&L.

Investors & Lenders

Cannot price non-financial, physical, and transitional risk into portfolios.

Board of Directors

Cannot connect performance to strategy — fragmented systems leave decision-making reactive and blind.

Introducing Rubicr

The Intelligence Layer
Enterprises Have Been Missing

Seven years of proprietary models. Industry-specific reasoning. Decisions that trigger inside your systems.

Three stages. One continuous intelligence loop.

01CONNECT

Your Data

Every data source your enterprise already has

PDF & OCR documents
Excel & databases
ERP & SCADA systems
Voice, Vision & Video
GeoSpatial & Web data

02CONTEXTUALISE

Domain Intelligence

Not a generic AI wrapper — built for your industry

Industry-specific reasoning engine
Automated data completion models
Domain prediction models
Regulatory constraint engine
Financial risk logic

03ACT

Action Triggers

Decisions inside your systems — not reports on a screen

API triggers to ERP & CRM
Automated workflow execution
Real-time alert routing
Compliance action generation
Performance optimization signals

Proof

Where Rubicr Is Already Working

Real deployments. Measurable outcomes. No pilots.

Chemicals · Industrial

Manufacturing Case Study

The Situation

Industrial enterprise with Opex 150% above benchmarks. ERP flagging repeat maintenance alerts with a 40% maintenance cost spike. Root cause invisible across siloed systems.

Rubicr Connected

ERPIoTEnergyCarbon

How It Worked

Pulled asset history from ERP, cross-analysed with IoT and predictive models, identified root cause in process conditions, and automatically triggered changes in operating parameters.

Outcomes

46%

Reduction in O&M time

152,971 man-hours saved annually

$10M

Annual savings

Direct reduction in power and maintenance costs

10%

Energy cost reduction

Through improved operating efficiency

Traction