4 min read
Intuigence AI: Synthetic AI Engineers for Industrial Operations
One of the biggest transformative opportunities for AI lies in the physical industries — a ~$5 trillion global market in process manufacturing alone. Engineers in these complex operations run billion-dollar facilities on disconnected, aging systems, spending ~30% of their time searching for information instead of optimizing production. Automation remains decades behind.
Intuigence is changing that with an AI-native platform for oil & gas and process manufacturers — building the synthetic engineer for the physical economy. Designed to layer onto legacy systems, it captures institutional knowledge, reasons across complex industrial data, and assists engineering teams with real-time problem solving, enabling facilities to run smarter, faster, and safer.
Think + has been a proud supporter from day one and is doubling down in Intuigence’s $10 million Seed round, led by Innovation Endeavors.
Despite its scale, process manufacturing remains one of the most under-digitized sectors. Proprietary data, complex implementation requirements, and entrenched cultural norms have slowed the adoption of modern software. The inefficiencies are significant: U.S. manufacturers spend over $50 billion annually on maintenance — excluding billions more lost to downtime, defects, and lost productivity — all while relying on static documents, siloed systems, and manual workflows.
Intuigence is capitalizing on this opportunity by starting with Piping & Instrumentation Diagrams (P&IDs) — the foundational blueprint of refining operations. Using advanced computer vision, fine-tuned LLMs, multimodal models, and graph-based AI, the platform transforms P&IDs into dynamic knowledge graphs with spatial and geometric context. Linked to live plant sensor data, these become decision-driving assets. On this foundation, Intuigence delivers agentic workflows for root cause analysis, compliance reporting, turnaround planning, and more — enabling engineers to solve problems in seconds instead of days.
Why We Invested:
- AI-native architecture in a walled garden – Proprietary, siloed industrial data creates a defensible moat for specialized AI systems trained behind the firewall.
- From static files to Systems of Action – Intuigence converts millions of siloed documents into a live, queryable operational model — shifting plants from risk-averse to performance-optimized.
- Proven, domain-expert team – Founder & CEO Moe Tanabian’s track record in industrial AI positions Intuigence to win adoption in a cautious, high-stakes market.
- Untapped, high-barrier market – Process manufacturing is a multi-trillion-dollar sector long walled off from modern software. Winning here requires deep domain knowledge, trust, and the ability to work behind the firewall.
We believe Intuigence is positioned to become the industrial AI brain for the physical economy, starting with downstream O&G and expanding into chemicals and beyond.
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