The big money in artificial intelligence isn't just flowing to consumer chatbots anymore.
Austin-based Striveworks—a company most people outside defense circles have never heard of—just secured a $70 million multi-year contract with the U.S. government, announced in mid-April. The deal, which will spread AI deployments across multiple defense agencies, comes barely three weeks after the startup closed a Series B funding round led by Washington Harbour Partners. The round size? Undisclosed, naturally. Striveworks called it a "strategic growth investment" in a March 24 announcement, the kind of phrasing that suggests the company is either being coy about valuation or genuinely focused on the relationship over the number.
Either way, the back-to-back announcements signal something larger: the Pentagon's AI ambitions are moving from PowerPoint to procurement, and Striveworks has positioned itself to catch the wave.
From Startup to Defense Contractor in Three Years
The trajectory is quick, even by venture-backed standards. In June 2023, Striveworks raised what it described as its "first institutional round"—$33 million led by Centana Growth Partners. At the time, the company reported 300% annual recurring revenue growth over the prior two years and pitched its Chariot platform as the answer for deploying machine learning models in environments where compliance matters as much as performance. Think: banks, intelligence agencies, places where a model going rogue isn't just embarrassing, it's catastrophic.
That bet seems to be paying off, though perhaps more dramatically than the founders expected. Between closing the Series B and inking the $70 million contract, Striveworks racked up a string of defense wins that read like a checklist for becoming the Pentagon's AI vendor of choice. The company demonstrated AI resiliency for the U.S. Navy during at-sea trials in late April. Then, in late May, it became the first AI firm selected to support both of the U.S. Army's lead NGC2 prototyping efforts—expanding from the 4th Infantry Division to the 25th Infantry Division in Hawaii.
The company has shared performance metrics from the 4ID deployment: 40x faster intelligence coordination, 21x faster target processing. Those numbers, if they hold across broader use cases, represent the kind of operational leap that gets generals' attention.
The Chariot Platform: Speed Meets Security
So what exactly is Striveworks selling?
Chariot is an MLOps platform—machine learning operations, for the uninitiated—designed to build, deploy, and monitor AI models in regulated environments. The pitch is straightforward: deploy models "in hours, not months" with one-click deployment, maintain performance under changing conditions, and do it all without violating the labyrinth of compliance requirements that come with government work.
The platform handles the full lifecycle: data labeling, model training, deployment, monitoring, and remediation when things drift. Recent versions have added collaborative workspaces and natural language processing enhancements, though the company has been light on specifics about what makes Chariot fundamentally different from the dozen other MLOps platforms vying for enterprise attention. The advantage, it seems, is less about groundbreaking technology and more about understanding how to navigate defense procurement and deliver in environments where air-gapped systems and CPU-only deployments are the norm, not the exception.
Founded in 2018 by CEO Jim Rebesco alongside Craig Desjardins, Eric O. Korman, and Anthony Manganiello, Striveworks operates from offices in Austin and Vass, North Carolina. LinkedIn pegs the team size somewhere in the 51-200 employee range as of mid-2026, a modest footprint for a company now managing a $70 million contract.
Building the Right Rolodex
If there's a playbook for breaking into defense tech, Striveworks has followed it closely. The company didn't just build software; it assembled a board that could open doors.
When Centana Growth Partners led that 2023 round, Striveworks brought on Ben Cukier from the firm, but also former U.S. Army Secretary Ryan D. McCarthy, Blackstone senior advisor Leonard Laufer, and Matthew Zames, former COO of JPMorgan Chase. That's the kind of roster that signals serious intent. McCarthy provides defense credibility; Zames brings financial services expertise, a sector where MLOps platforms could theoretically scale if the government work pans out.
Striveworks also moved early to build distribution partnerships. In March 2023, the company announced it would deliver Chariot on Microsoft Azure and signed with Carahsoft, a key distributor for government sales. A May 2023 partnership with Neural Magic added CPU-only deployment options, addressing the reality that many classified environments don't have access to the GPUs everyone assumes AI requires.
These aren't flashy moves. They're the unglamorous work of becoming a credible vendor in a market where trust and access matter more than viral demos.
What Happens Next
The $70 million contract provides multi-year recurring revenue, a meaningful anchor for a growth-stage company navigating a market where large incumbents—think Palantir, Booz Allen, the usual suspects—are aggressively acquiring platforms and talent. The Series B gives Striveworks capital to support expanded defense work and, presumably, explore adjacent regulated verticals where Chariot's compliance chops could find traction.
But there's a tension here. Defense contracts are lucrative and stable, yet they can also pigeonhole a company. Striveworks will need to prove Chariot works beyond the Pentagon if it wants the kind of valuation multiples that consumer-facing AI companies command. Financial services is the obvious next frontier. Healthcare, maybe. Anywhere regulations make traditional cloud-based AI deployments complicated.
For now, though, the company seems content to ride the defense wave. And given the bipartisan appetite in Washington for outpacing China on AI, that wave isn't cresting anytime soon.
