Dirac is proud to partner with @MachinaLabs_. They're rebuilding American manufacturing capability at speed, and we're bringing AI, model-based process design to help them build faster.
To build the future of manufacturing, you need a coalition of partners that are not constrained by the past.
We are proud to partner with @DiracInc to bring AI model-based process design into our mission to build complex metal structures 10x faster.
Dirac retweeted
To build the future of manufacturing, you need a coalition of partners that are not constrained by the past.
We are proud to partner with @DiracInc to bring AI model-based process design into our mission to build complex metal structures 10x faster.
From idea to finished product, fully automated.
@MachinaLabs_ Machina manufactures advanced metal structures directly from digital designs. Dirac automates turning them into real products.
Dirac is proud to help reinvent the factory.
Dirac retweeted
.@DiracInc 🤝 Microsoft
Dirac Brings AI-Driven Process Design to Enterprise Manufacturers on Microsoft @Azure.
Read the full press release here: prnewswire.com/news-releases…
Dirac retweeted
"See The Build"
That's the superpower @DiracInc delivers.
Incredible distillation.
They're ripping.
Dirac retweeted
Calling all mechanical, manufacturing, and industrial engineers in my network - our portfolio company @DiracInc is shaping the future of design, engineering, and manufacturing with BuildOS and hiring forward deployed manufacturing engineers to bring it to life with major enterprise companies.
The team is backed by @foundersfund, @coatuemgmt, @TheCouncilCap, and already executing 7-figure deals with companies you know. Apply below to shape the future of your industry :)
P.S. they work out of the Empire State Building, so that's pretty cool too
Dirac retweeted
We @DiracInc are hiring Forward Deployed Engineers in Southern California!
Come help change the way The Best Of The West build.
Hiring:
- Forward Deployed Manufacturing Engineers
- Forward Deployed Software Engineers
DM me or email me at [email protected]
Manufacturing engineers should not spend their best hours rebuilding documents.
Screenshots. Callouts. Step text. Revision cleanup. Visual updates.
That work matters, but it should not consume the people best equipped to improve the factory.
The future factory will ask engineers to improve the line, not maintain static documents by hand.
Quality problems often look like execution failures.
Sometimes they’re instruction failures.
Wrong visual. Old revision. Missing note. Verbal workaround.
When instructions are static or disconnected, version risk becomes production risk.
Work instructions are quality infrastructure.
Most NPI delays start in the translation layer between engineering intent and production execution.
If every design change becomes a manual documentation project, ramp speed has a ceiling.
The fastest factories will be the ones that translate design into production without dragging engineers back into paperwork.
















