Tangerine Industrial Intelligence
Tangerine provides an industrial intelligence platform that unifies operations, engineering, commercial, and financial data into a single persistent foundation. The platform transforms raw industrial signals into contextual intelligence, enabling predictive maintenance, production optimization, and engineering design improvements. It connects real-world product performance with design and simulation data so validated learning flows back into the next engineering cycle.
- Manufacturing / Industry 4.0
- Data & Analytics
- Enterprise Software
- Internet of Things
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Industrial enterprises struggle with fragmented data across operations, engineering, commercial, and financial functions, preventing them from understanding the full context of their physical operations. This siloed approach limits decision-making quality, slows response to production issues, and blocks the flow of learning from real-world performance back into engineering and business planning.
Solution
Tangerine provides an industrial intelligence platform that connects operations, engineering, commercial, and financial data into a single persistent intelligence foundation. The platform transforms raw industrial signals into contextual intelligence—moving from signal to context to intelligence to decision to action to value to learning. It links equipment, production, quality, and energy intelligence directly into the workflows that coordinate people and systems, supporting predictive maintenance, quality management, production optimization, and energy efficiency. The platform also connects engineering design and simulation with what products and processes actually experience, enabling validated learning to flow back into the next design cycle and connecting demand, customers, and installed base data with revenue and margin decisions.
Target Audience
Industrial enterprises—including manufacturing, energy, and other asset-intensive sectors—that need to integrate operational, engineering, commercial, and financial data to improve decision-making and workflow execution.
Features
- Unified intelligence foundation spanning operations, engineering, commercial, and financial data domains
- Predictive maintenance and production optimization workflows integrated directly with operational coordination systems
- Engineering intelligence layer linking design, simulation, validation, and reliability data with real-world product performance
- Commercial intelligence connecting demand, customers, products, and installed base with revenue, margin, retention, and lifetime value decisions
- Signal-to-value pipeline that structures data flow from raw signals through contextual intelligence to actionable decisions