Benjamin Jones

@ScoutAI_

[Benjamin Jones @BenJones]

@anukeganegoda 🫡🫡

[Benjamin Jones @BenJones]

We’ve raised $100M to accelerate development of Fury, the foundation model for unmanned warfare.

My team is hiring: https://t.co/ICwk4KW99d

[Scout AI @ScoutAI_]

Scout is proud to announce our $100M Series A, the largest defense-tech Series A in US history

This round will accelerate development of Fury, the foundation model for unmanned warfare

[Collin Otis @collinotis]

Raw. Behind the scenes. Explainer. 🎥🤖

🚨 The first agentic military strike. 🚨

A few weeks ago we showed something that had never been demonstrated before:

A team of AI agents conducting a coordinated military strike on a target.

In the explainer video below, I'm sharing a look under the hood at how it actually works.

System architecture:

🚙 1 UGV carrying 2 one-way attack drones
🧠 7 AI agents total

• 1 Orchestrator agent (~300B parameters)
• 6 asset agents

Each asset runs two agents:
• Reasoning agent – planning, decision making, tool use
• VLA agent – perception and vehicle control trajectories (~1B parameters)

Tool use is also used all over the place on orchestration and platform autonomy. Agents call tools on traditional platform autonomy (e.g. flight controllers) when that makes sense vs. direct control (e.g. unlatch and takeoff command).

Systems:

• Orchestrator runs in an orchestration compute cluster on a set of H100s.
• Each edge asset has 2x Nvidia inference chips, some as low as 25W.
• Orchestrator does not have any implementation insight into assets.
• Treats them as third-party assets.
• It reads the ICD for the function calls, similar to MCP.

Shared cognition across the system:

📡 All agents share their thoughts across the network
🧠 Memory stored as text + short-term video context
👁️ Systems maintain shared situational awareness

This allows the system to operate as a single coordinated intelligence, not isolated robots.

• All systems are loosely coupled, prompting eachother.
• Clear safety guard rails and human on the loop.
• Entire video is hands-off from human control after the initial paragraph of intent into the Orchestrator.
• Agents run between 350ms to 10s cycle times depending on their function and all actions are real-time dynamic. No pre-scripting of the mission.

⚡ Video is sped up 2× for brevity

This capability was developed under DARPA and U.S. Army contracts for broad DoW use.

🎙️ @emilmichael @Jason @friedberg @chamath this is the fully autonomous AI mission you discussed as possible someday soon on the @theallinpod last week. Happy to give any of you a direct technical brief at any time.

[Colby Adcock @adcock_colby]

Today I am extremely proud to introduce the Fury Autonomous Vehicle Orchestrator 🇺🇸

For the past 12 months, the Scout AI team has been building this quietly. Now we’re finally ready to unveil it to the world

Just like AI agents are transforming the digital world, Fury Orchestrator brings that same agentic intelligence into the physical world for the U.S. warfighter

It is the first agentic system that can take a commander’s high-level mission intent, spoken or typed in natural language, and turn it into coordinated autonomous action across a mixed fleet of unmanned assets

More in 🧵

[WIRED @WIRED]

Scout AI is using technology borrowed from the AI industry to power lethal weapons—and recently demonstrated its explosive potential. https://t.co/Ouuz4rwxfP

[Scout AI @ScoutAI_]

Scout AI today publicly showcased for the first time its Fury Autonomous Vehicle Orchestrator running a heterogeneous fleet of autonomous air and ground systems from natural language mission intent

Watch the full demo now ⬇️

[Booz Allen Hamilton @BoozAllen]

From robotic swarms to low-cost drone forces, the future battlefield is changing fast.

See what else Bill Vass, Randy Yamada, Brian MacCarthy, and @ScoutAI_’s @collinotis are predicting for the next decade of #DefenseTech.

Check out their full conversation: https://t.co/7EumEjGwUT

[Scout AI @ScoutAI_]

Scout AI was selected as a winner of the @USArmy's xTechOverwatch Competition.

[Colby Adcock @adcock_colby]

In Q1, we’ll be unveiling what we internally call Project Moonshot: a fully autonomous, multi-domain, multi-asset mission powered end-to-end by Fury AI agents. This will be the first agentic mission of its kind in the defense industry 🦾🇺🇸

[Colby Adcock @adcock_colby]

This approach encapsulates exactly what we’re building. As far as I know, we’re the only company in defense-tech developing robots with frontier AI in mind

[Colby Adcock @adcock_colby]

New trucks at HQ 😎

[Colby Adcock @adcock_colby]

Scout team out having some fun last night!

[Benjamin Jones @BenJones]

#TronAres

[Scout AI @ScoutAI_]

Scout and Hendrick Motorsports Technical Solutions today announced a partnership on NOMAD, HMS’s next-generation UGV controlled by Scout’s Fury autonomy system

NOMAD represents Fury’s second UGV form factor and debuts Scout’s fastest foundation model to date, lightweight, low-latency, and purpose-built for compact robotic platforms

[Benjamin Jones @BenJones]

https://t.co/QDZYpSEzHE

[Benjamin Jones @BenJones]

Last week @ScoutAI_ won a major contract under the Army’s Unmanned Systems initiative, the largest ground autonomy project in the US Military

The downselect will be worth $150mm

We were mid-data collect when the news came through ⬇️

[Benjamin Jones @BenJones]

https://t.co/Ma6ceVt4nD

[Benjamin Jones @BenJones]

.@ScoutAI_ at new @Figure_robot HQ

[Benjamin Jones @BenJones]

🐐

[John Collison @collision]

Susan Li is CFO of Meta and has never(!!) done a podcast. We talked about AI capex, whether your baseball hat should say FCF or EBITDA, how Meta allocates GPUs, and working with Mark Zuckerberg.