Manifesto
The last 20 years were about accelerating the digital world. The next 20 will be about the physical world.
Dryft is building the technology that will define that future.
Manifesto
The last 20 years were about accelerating the digital world. The next 20 will be about the physical world.
Manifesto
The last 20 years were about accelerating the digital world. The next 20 will be about the physical world.
Dryft is building the technology that will define that future.
A247293C3
Why?
Why does it still take years to build a plane or months to produce vaccines, when software ships in days? In the digital world, we solved speed by shortening the loop between building, shipping, and learning. In the physical world, we haven't. To move hardware faster, we need to accelerate building, not just design. Yet the opposite has happened. Lead times that were once measured in weeks are now measured in months, even years.
Progress in the physical world is throttled by the very systems built to orchestrate it: Enterprise Resource “Planning” systems (ERPs) promise control, but deliver chaos—planners drowning in exceptions, buyers chasing suppliers, dispatchers fighting fires. ERPs record, but they don’t understand; they leave the real problems to people. The result is predictable: overstock, shortages, missed deadlines, billions wasted.
What We Build
For decades humans have tried to model manufacturing operations into mathematical systems. But, smooth operations are not deterministic formulas. They are a thousand subtle judgments: when to trust a forecast, when to hedge, when to break a rule. The industry assumed this judgment could never be built into a system. We disagree.
We build AI agents that capture complexity, absorb tribal knowledge, and—paired with mathematical optimization—make decisions with human intuition at machine scale. A neural system for manufacturing. Our agents make thousands of small decisions daily: substituting parts, nudging suppliers, adjusting schedules. Only faster, continuous, and at scale.
Our agents have complete context and the intuition humans gather over years:
Data access: the full stream of operational events, past and future
Memory: conversations, notes, ERP records - all connected
Reasoning: the ability to balance rules with judgment
The Future
With Dryft, supply chains no longer lurch between shortage and surplus. Factories are self-healing—re-routing supplies, re-balancing stock, re-adjusting schedules. In this world, ERPs shrink to databases. The true operating system of manufacturing is alive with intelligence. Companies that embrace this shift will build faster, and scale faster—while the rest remain shackled to the old world.
We stand at the start of a new industrial age. Factories that think for themselves will outpace the past. Those who build them will shape history. At Dryft, we are not just improving operations; we are building the intelligence that will run the factories of the future.
A247293C3
Why?
Why does it still take years to build a plane or months to produce vaccines, when software ships in days? In the digital world, we solved speed by shortening the loop between building, shipping, and learning. In the physical world, we haven't. To move hardware faster, we need to accelerate building, not just design. Yet the opposite has happened. Lead times that were once measured in weeks are now measured in months, even years.
Progress in the physical world is throttled by the very systems built to orchestrate it: Enterprise Resource “Planning” systems (ERPs) promise control, but deliver chaos—planners drowning in exceptions, buyers chasing suppliers, dispatchers fighting fires. ERPs record, but they don’t understand; they leave the real problems to people. The result is predictable: overstock, shortages, missed deadlines, billions wasted.
What We Build
For decades humans have tried to model manufacturing operations into mathematical systems. But, smooth operations are not deterministic formulas. They are a thousand subtle judgments: when to trust a forecast, when to hedge, when to break a rule. The industry assumed this judgment could never be built into a system. We disagree.
We build AI agents that capture complexity, absorb tribal knowledge, and—paired with mathematical optimization—make decisions with human intuition at machine scale. A neural system for manufacturing. Our agents make thousands of small decisions daily: substituting parts, nudging suppliers, adjusting schedules. Only faster, continuous, and at scale.
Our agents have complete context and the intuition humans gather over years:
Data access: the full stream of operational events, past and future
Memory: conversations, notes, ERP records - all connected
Reasoning: the ability to balance rules with judgment
The Future
With Dryft, supply chains no longer lurch between shortage and surplus. Factories are self-healing—re-routing supplies, re-balancing stock, re-adjusting schedules. In this world, ERPs shrink to databases. The true operating system of manufacturing is alive with intelligence. Companies that embrace this shift will build faster, and scale faster—while the rest remain shackled to the old world.
We stand at the start of a new industrial age. Factories that think for themselves will outpace the past. Those who build them will shape history. At Dryft, we are not just improving operations; we are building the intelligence that will run the factories of the future.
A247293C3
Why?
Why does it still take years to build a plane or months to produce vaccines, when software ships in days? In the digital world, we solved speed by shortening the loop between building, shipping, and learning. In the physical world, we haven't. To move hardware faster, we need to accelerate building, not just design. Yet the opposite has happened. Lead times that were once measured in weeks are now measured in months, even years.
Progress in the physical world is throttled by the very systems built to orchestrate it: Enterprise Resource “Planning” systems (ERPs) promise control, but deliver chaos—planners drowning in exceptions, buyers chasing suppliers, dispatchers fighting fires. ERPs record, but they don’t understand; they leave the real problems to people. The result is predictable: overstock, shortages, missed deadlines, billions wasted.
What We Build
For decades humans have tried to model manufacturing operations into mathematical systems. But, smooth operations are not deterministic formulas. They are a thousand subtle judgments: when to trust a forecast, when to hedge, when to break a rule. The industry assumed this judgment could never be built into a system. We disagree.
We build AI agents that capture complexity, absorb tribal knowledge, and—paired with mathematical optimization—make decisions with human intuition at machine scale. A neural system for manufacturing. Our agents make thousands of small decisions daily: substituting parts, nudging suppliers, adjusting schedules. Only faster, continuous, and at scale.
Our agents have complete context and the intuition humans gather over years:
Data access: the full stream of operational events, past and future
Memory: conversations, notes, ERP records - all connected
Reasoning: the ability to balance rules with judgment
The Future
With Dryft, supply chains no longer lurch between shortage and surplus. Factories are self-healing—re-routing supplies, re-balancing stock, re-adjusting schedules. In this world, ERPs shrink to databases. The true operating system of manufacturing is alive with intelligence. Companies that embrace this shift will build faster, and scale faster—while the rest remain shackled to the old world.
We stand at the start of a new industrial age. Factories that think for themselves will outpace the past. Those who build them will shape history. At Dryft, we are not just improving operations; we are building the intelligence that will run the factories of the future.
A247293C3
Why?
Why does it still take years to build a plane or months to produce vaccines, when software ships in days? In the digital world, we solved speed by shortening the loop between building, shipping, and learning. In the physical world, we haven't. To move hardware faster, we need to accelerate building, not just design. Yet the opposite has happened. Lead times that were once measured in weeks are now measured in months, even years.
Progress in the physical world is throttled by the very systems built to orchestrate it: Enterprise Resource “Planning” systems (ERPs) promise control, but deliver chaos—planners drowning in exceptions, buyers chasing suppliers, dispatchers fighting fires. ERPs record, but they don’t understand; they leave the real problems to people. The result is predictable: overstock, shortages, missed deadlines, billions wasted.
What We Build
For decades humans have tried to model manufacturing operations into mathematical systems. But, smooth operations are not deterministic formulas. They are a thousand subtle judgments: when to trust a forecast, when to hedge, when to break a rule. The industry assumed this judgment could never be built into a system. We disagree.
We build AI agents that capture complexity, absorb tribal knowledge, and—paired with mathematical optimization—make decisions with human intuition at machine scale. A neural system for manufacturing. Our agents make thousands of small decisions daily: substituting parts, nudging suppliers, adjusting schedules. Only faster, continuous, and at scale.
Our agents have complete context and the intuition humans gather over years:
Data access: the full stream of operational events, past and future
Memory: conversations, notes, ERP records - all connected
Reasoning: the ability to balance rules with judgment
The Future
With Dryft, supply chains no longer lurch between shortage and surplus. Factories are self-healing—re-routing supplies, re-balancing stock, re-adjusting schedules. In this world, ERPs shrink to databases. The true operating system of manufacturing is alive with intelligence. Companies that embrace this shift will build faster, and scale faster—while the rest remain shackled to the old world.
We stand at the start of a new industrial age. Factories that think for themselves will outpace the past. Those who build them will shape history. At Dryft, we are not just improving operations; we are building the intelligence that will run the factories of the future.
