Breaking
TURBINEONE raises $36M Series B at a reported $300M valuation 20+ awarded Department of Defense contracts Navy nuke → first Chief Data Officer of U.S. Commerce → defense founder "Helping the good guys find the bad guys" AI on the sensor. No cloud. At the edge. TURBINEONE raises $36M Series B at a reported $300M valuation 20+ awarded Department of Defense contracts Navy nuke → first Chief Data Officer of U.S. Commerce → defense founder "Helping the good guys find the bad guys" AI on the sensor. No cloud. At the edge.
Founder · Operator · Navy Veteran

Ian Kalin

He wanted the software so badly he had to build it himself. Now his machines watch the battlefield so people don't have to.

CEO & Co-Founder, TurbineOne — San Francisco

Ian Kalin, CEO and co-founder of TurbineOne

Ian Kalin: politics major, reactor engineer, and the guy who reads a battlefield the way you skim a headline. // Photo: TurbineOne

The Dispatch

A founder usually pitches you the future. Ian Kalin pitches you a memory. "This is the product I wish I had when I served in the Navy," he says about TurbineOne's Frontline Perception System - and you believe him, because he spent five years on the other end of the problem, staring at more sensor feeds than any human was built to process.

$55M+
Total raised
20+
DoD contracts
TRL-9
Readiness level
4
Armed services deployed
Who He Is Now

The nuke who teaches machines to see

TurbineOne builds one strange, specific thing: machine learning that runs on the sensor itself. Not in a datacenter. Not in the cloud. On the drone, the camera, the device sitting in a place with no signal and no patience. Kalin's rule for it is blunt - treat battlefield AI like a self-driving car, not a chatbot. "Intelligence has to live where the data is generated," he says. A chatbot can wait for the network. A soldier can't.

The company calls it the Frontline Perception System, and it is aimed squarely at a problem Kalin knows in his bones. Modern militaries drown in imagery. Cameras, radar, drones, satellites - all of it pouring in faster than eyes can review. The old fix was to add more eyes. Kalin's fix is to teach the sensor what matters and let it flag the rest.

Ask him who his real competitor is and he doesn't name a company. "Our biggest competition is manual labor," he says. "If you have enough bodies to throw at more screens, and you can just keep throwing 25-year-olds to zoom and scroll all day, you don't need me." He wants to retire that job.

The Turn

From carrier to category

Kalin and co-founder Matt Amacker met at The General Partnership, a venture firm whose anchor backer is Reid Hoffman. Amacker had prototyped at Amazon, Google, and Toyota Research. Kalin had a resume that reads like three different people stitched together.

Before a single line of code, they wrote the company's ethics policy - integrity, responsibility, accountability, non-partisanship, prosperity. In defense tech, where the ethical questions arrive on day one, Kalin decided to answer them on day zero.

The bet is working. In May 2025 the company closed a $36M Series B led by The General Partnership, with Bessemer, XYZ, Stepstone, PROOF and Artisanal along for the ride, at a reported $300M valuation. Already working with the Army, Air Force, Navy and Marine Corps across the Indo-Pacific, TurbineOne is now angling toward the intelligence community and a footprint overseas.

edge aifrontline perceptionsensor fusionno-cloud mlphysical aithreat detectiondefense tech
"We're helping the good guys find the bad guys."

// Ian Kalin, on what TurbineOne actually does

The Arc

Five careers, one thread

2002

Georgetown, BS International Politics

A School of Foreign Service degree - the least likely on-ramp to a reactor.

2002 - 2007

U.S. Navy

Counter-terrorism officer, then nuclear engineer aboard the carrier USS Ronald Reagan.

2012

Presidential Innovation Fellow

Led the U.S. Energy Data Initiative under U.S. CTO Todd Park.

2015

First CDO, U.S. Commerce

The department's first-ever Chief Data Officer, across all 12 bureaus.

2020

Co-founds TurbineOne

The product he wished he'd had, finally built.

2025

$36M Series B

Reported $300M valuation; eyes on the intelligence community.

By The Numbers

The shape of a bet

Total funding raised$55M+
Latest round (Series B)$36M
Reported valuation$300M
Years in the Navy5+
Federal bureaus overseen as CDO12

Bars scaled for comparison, not to a single axis.

In His Words

The Kalin doctrine

"We must treat battlefield AI more like a self-driving car than a chatbot."

On physical AI

"Our biggest competition is manual labor."

On the real rival

"This is the product I wish I had when I served in the Navy."

On why he built it

The Fine Print

Things that don't fit the resume

  • A Georgetown politics major who became a nuclear engineer. The pairing is rare enough to sound made up.
  • He served aboard the aircraft carrier USS Ronald Reagan.
  • He is described as an accomplished musician.
  • He is a career government data leader who left for a startup - the reverse of the usual founder-to-DC pipeline.
  • The ethics policy came before the code. Not after the first controversy. Before the first commit.
What's Next

The aspiration

Deliver the best mission-AI to the nation's frontlines - real-time machine perception on the sensor at the tactical edge - and push TurbineOne past the armed services into the intelligence community and allied nations abroad.

The through-line across five careers is the same instinct: unlock the data that's already there, and put it in the hands of the person who needs it, right now, wherever they are.

The Rolodex

Follow the thread