CEO/Co-Founder @ Neuramill | AI Applied Scientist | Manufacturing apprentice | Bridging the gap
San Francisco
Joined March 2025
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Our team recognized this problem long before it was fashionable. We have built our own models required to give machinist’s a 10X Ironman suit. LLMs won’t cut it. Our system has ingested parts going to Anduril, Boeing, SpaceX, RTX etc. We will start scaling Q1 2027 to support every American shop.
America has 16,876 machine shops.
83% employ fewer than 20 people. Just nine employ more than 500.
New defense companies are moving from prototypes to mass production, and every missile, drone, ship, and rocket they ultimately produce needs to run through one of these small shops.
That friction is a national security liability.
Connor Love and Collen Larson on the next generation of American manufacturing that gets built by smoothing it: a16z.news/p/the-case-for-the…
Since I am pretty polite IRL, here is an internal thought of the day :
Incompetent non believers, with the power of POCD (iykyk) I command thee to please FO.
Writing a technical opinion piece on who wins the Physical AI race in manufacturing for s&g,
Will it be the Planning Layer : Design, process selection, sequencing, tribal knowledge.
Execution Layer : CAM, G-Code, robot programming, machine instructions.
General-purpose AI: VLAs trained big data.
Who wins, or is it something else?
What’s y’all’s take?
Rancho Dominguez, California, America.
Southwestern Industries introduced ProtoTRAK, making CNC programming accessible to machinists without extensive G-code expertise.
The TRAK DPM pictured here represents that evolution, bringing together manual craftsmanship and programmable precision.
Making advanced manufacturing more accessible, intelligent, and intuitive. Sounds like a mission worth dedicating my life to.
Two things I would have done differently if I were starting a company again.
1. I wouldn’t have tried so hard to be humble.
As cringe as it may feel, you have to hoot your own horn.
Coming from a defense family and then the applied science community, it was ingrained in me that you work quietly and let your results speak for themselves.
You quickly realize that doesn’t quite work in venture, where there is often more noise than output.
You have to give regular updates, voice your passion for what you’re building, and market your credentials. You cannot expect people to recognize work they don’t know about.
2. I would have had a very honest conversation with myself about who I wanted to be.
At the very beginning, I would have asked myself: Who do I want to be through a journey that will demand stamina, patience, perseverance, and commitment at a level most people never get to experience?
More importantly, who do I want to be when everything is going wrong?
I think the answer to that question anchors every decision you make. At times, it will even have to trump who you are today.
There is no right answer. But it has to be a deeply personal one.
Nistha Mitra retweeted
introducing Runway, a new video series where we take the best founders in the world up in a tiny seaplane from Paine Field in Seattle and talk to them on both sides of the flight.
i’ve wanted to get back into media for years, and i guess the answer was airplanes. this was absurd to make: seven cameras, a drone operator, lawyers, regulators, weather, and hundreds of hours of footage.
but so soo happy to team up with my good friend @atken_aragon!
This is our trailer. First episode with Eli from @endurancegeo next week! Would mean the world if you took the min to check it out!!!
“And let us not be weary in well doing: for in due season we shall reap, if we faint not.” Galatians 6:9
I had to come back to this today. Keep swimming.
Nistha Mitra retweeted
Customer request comes in, @nmitra2k goes “I can approve your pr” while on the side of the rode 2 hrs east of sf
Nistha Mitra retweeted
🎙️ A new episode of Bits and Bolts is out today! You can automate a thousand clicks in CAM software. The harder problem is understanding why a machinist makes them ⚙️
Before the first cut, someone has to choose the tools, decide how to hold the part, interpret tolerances, and plan the order of operations. Much of that judgment lives in an experienced machinist’s head.
So I sat down with Nistha Mitra, co-founder and CEO of Neuramill, for the latest episode of Bits & Bolts.
Neuramill is building an AI co-pilot for high-precision manufacturing, with the goal of helping one machinist do 10x more by capturing the reasoning behind those decisions.
We talk about the missing data behind physical AI, preserving knowledge as experienced machinists retire, and why human judgment remains essential when you’re making mission-critical parts.
📌 Chapters:
00:00 An AI co-pilot to make a machinist 10x
00:27 Meet Nistha Mitra and Neuramill
01:38 Foundation models, explained
03:43 How data and robotics are changing manufacturing
06:44 Why trust matters in manufacturing AI
09:05 The missing data behind physical AI
12:31 Is a complete physical AI model decades away?
14:18 Neuramill and the knowledge machinists carry
17:14 From a drawing to machining decisions
20:03 Milling, setups, and micron-level precision
22:39 Where Neuramill fits between CAD and CAM
25:09 What early machine-shop deployments revealed
27:53 Why space manufacturing needs this
29:07 Additive versus subtractive manufacturing
31:38 Can dark factories make mission-critical parts?
32:59 Bringing the next generation into machining
35:16 The vision for an AI-native factory floor
36:42 Thanks, outro, and bloopers
America didn’t invent deburring, but American mass production made burrs impossible to ignore.
By the early 1800s, the U.S. armories at Springfield and Harpers Ferry were already pushing interchangeable parts.
Then companies like Colt scaled the whole system: specialized machine tools, jigs, gauges, inspection.
Which created a funny side effect.
If you hand-make one part, a burr is annoying.
If you make 10,000 supposedly identical parts, the same burr becomes a process problem.
A lot of manufacturing history is basically this: scale turns tiny imperfections into entire industries.
[Random Fact about Precision Manufacturing which is critical for National Security.]
Los Angeles County vs. Nebraska State: Manufacturing Footprint at a Glance
LA County has roughly 300K manufacturing workers and ~300–400 machine shops, versus ~97K manufacturing workers and ~60 machine shops across all of Nebraska. Nebraska is more manufacturing-intensive by employment share (~9% vs ~6–7%), but LA offers roughly 3× the manufacturing workforce and 5–7× the CNC/machine-shop base, making it the much denser market for precision-manufacturing.