Introducing Dryft

Today, we’re thrilled to introduce Dryft - the world’s first agentic operating system for manufacturing.

Dryft combines context-aware AI agents with mathematical optimization to put operational decisions on autopilot, so planners can focus on strategy instead of spreadsheets.

The Problem: Manufacturing Moves at Spreadsheet Speed

Manufacturing powers 16% of the global economy (World Bank, USD), yet most factories still run on systems designed in the 1970s. Enterprise Resource Planning (ERP) systems plan, but they don’t think. When volatility hits - a supplier delay, a design change, a new production constraint - teams scramble.

Decisions are made through endless emails and gut feeling. Capital gets tied up in excess inventory. Lead times stretch from weeks to months.

We’ve seen this problem up close, first in manufacturing companies we grew up around, and later while working with some of the world’s largest industrial players.

Dryft turns Human Intuition into Machine Intelligence

ERP systems were built to plan resources, not to decide what should happen next.

They’re static by design - waiting for humans to fill in the blanks.

But the world no longer waits. Factories need software that acts as fast as the markets they serve.

We built Dryft to replace static enterprise resource planning with Enterprise Resource Automation, a new foundation for manufacturing operations.

Our system doesn’t just log data. It understands context, predicts outcomes, and takes action - from adjusting order quantities and safety stocks to following up with suppliers.

Backed by Builders of the Real Economy

To bring this vision to life, we’ve raised $5 million in funding led by General Catalyst, with participation from Neo, Sandberg Bernthal Venture Partners and a group of exceptional angel investors including Jeff Wilke, Claire Hughes Johnson, Dr. Markus Flik, and Qasar Younis.

We’re Hiring

We’ve assembled a small, high-talent-density team of engineers with backgrounds spanning manufacturing, AI research, and systems engineering - from Porsche and NASA to Stanford and MIT.

Now, we’re growing.

If you’re excited about building intelligent systems that run the physical world, join us.

👉 dryft.ai/careers