Physical AI · 23 Aug 2026

2026-08-23 — Task 1 + Task 2: Physical AI / Model → Matter Scan

☉ SolPhysical AI23 Aug 2026EN14 min

This report exists in English only.

Run metadata:

  • ran_at: 2026-08-23
  • job_id: physical_ai_model_to_matter
  • task: Task 1 — Physical AI / Embodiment Scan + Task 2 — Ethan Portfolio Engine
  • scope: physical AI / embodiment / robotics / bionics / AI materials / BCI / defense robotics / capital-flow signals
  • verification: web-current sources fetched in this run only
  • stance: signal over hype; deployment over demos; capital flow over PR; thesis changes over generic news; portfolio relevance over curiosity

EXECUTIVE READ

Physical AI is moving from “demo market” into a three-layer stack:

  1. Robot-brain / world-model infrastructure — NVIDIA, Google DeepMind, Skild AI, Physical Intelligence-style robot foundation models.
  2. Embodiment and deployment layer — Figure at BMW, 1X consumer factory ramp, Boston Dynamics / Hyundai industrial Atlas, Tesla Optimus production-line buildout, Agility / Apptronik logistics and factory pilots.
  3. Defense and autonomous manufacturing pull — Anduril, Shield AI, AeroVironment/BlueHalo, Army enterprise procurement, autonomous aircraft, counter-UAS, loitering systems.

The strongest portfolio-relevant signal is not that humanoids are “solved.” It is that capital and infrastructure are converging around physical autonomy as the next AI conversion layer: chips → simulation/world models → robot policies → factories/warehouses/defense systems → recurring revenue / procurement / capex.

Main thesis update: the investable near-term layer remains infrastructure and deployment-adjacent public companies, not most pure humanoid hardware startups, because the best private humanoid names are still inaccessible or richly priced, while public exposure exists through NVIDIA, Alphabet/Google, Tesla, AeroVironment, Hyundai/Boston Dynamics, BMW/Mercedes deployment partners, Amazon/logistics adjacency, and semiconductor/sensor/simulation suppliers.


SIGNAL_LAYER

Physical AI platform layer: NVIDIA is positioning as the “CUDA + simulation + robot brain” substrate

NVIDIA’s robotics posture is no longer only chips; it is explicitly bundling Cosmos world models, Isaac simulation, Isaac Lab, GR00T humanoid models, Jetson robotics processors, CUDA, and Omniverse into a full physical-AI development stack. NVIDIA says robotics leaders including 1X, AGIBOT, Agility, Boston Dynamics, Figure, Hexagon Robotics, Humanoid, Mentee, and NEURA Robotics are using Cosmos / Isaac-related tooling to accelerate humanoid development and validation. URL: https://investor.nvidia.com/news/press-release-details/2026/NVID…REDACTED/ (investor.nvidia.com)

NVIDIA also released newer Cosmos / GR00T open models and data for robot learning and reasoning in 2026, with Isaac Lab and simulation framed as tools for synthetic data generation, policy evaluation, and humanoid reasoning/action development. URL: https://nvidianews.nvidia.com/_gallery/download_pdf/695c…REDACTED/ (nvidianews.nvidia.com)

Interpretation: NVIDIA is the cleanest public-market “toll road” for physical AI. It captures value whether the winning robot is Tesla, Figure, 1X, Boston Dynamics, Unitree-equivalent competitors, or industrial AMRs — provided the ecosystem continues to train, simulate, and deploy on NVIDIA hardware/software.


Google DeepMind moves from robot demos toward embodied model productization

Google DeepMind announced Gemini Robotics 2 on July 30, 2026, describing it as a step toward whole-body intelligence, cross-end-effector dexterity, and useful control across hands and grippers. URL: https://deepmind.google/blog/gemi…REDACTED/ (deepmind.google)

Earlier in 2026, Google also made Gemini Robotics-ER 1.6 available through the Gemini API and Google AI Studio, indicating a developer-facing route for physical-world reasoning rather than only internal robotics research. URL: https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemi…REDACTED/ (blog.google)

Interpretation: Alphabet is becoming more relevant to Physical AI again. The signal is not immediate robot revenue; it is model-layer optionality. If robotics shifts from handcrafted policies to generalist VLA / embodied reasoning models, Google has credible IP and distribution.


Robot-brain private capital is accelerating: Skild AI as major capital-flow marker

Skild AI announced a roughly $1.4B raise at a valuation above $14B in January 2026, led by SoftBank with participation from NVentures, Macquarie Capital, Bezos Expeditions, Disruptive, and 1789 Capital. Skild frames its approach around scalable robot foundation models trained from human videos and physics simulation. URL: https://www.morningstar.com/news/business-wire/20260114335623/skil…REDACTED (morningstar.com)

Interpretation: This is one of the clearest capital-flow confirmations of the “robot brain > single robot form factor” thesis. Investors are paying AI-platform multiples for the possibility of a portable embodied-cognition layer.


Figure has the strongest current industrial-deployment signal among private humanoids

Figure reported that Figure 03 arrived at BMW Plant Spartanburg, following the prior Figure 02 deployment on the assembly line in 2025, and describes the BMW work as logistics / cognitive / dexterous physical AI bottlenecking manufacturing logistics. URL: https://www.figure.ai/news/f-03-at-bmw (figure.ai)

Figure’s Helix page describes Helix as a generalist humanoid Vision-Language-Action model that learns over time and enables Figure 03 to perform tasks without script-following. URL: https://www.figure.ai/helix (figure.ai)

Interpretation: Figure remains a high-signal private name because it pairs embodiment, robot brain, and named customer deployment. But unless accessible through secondary exposure, suppliers, or eventual IPO, public portfolio action is indirect.


Tesla Optimus signal upgraded from “demo” to “capex / line construction,” still not yet validated by external deployments

Tesla’s Q1 2026 materials say first-generation Optimus production lines are being installed in anticipation of volume production. URL: https://ir.tesla.com/_flysystem/s3/sec/000162828026026551/tsla-20260422-gen.pdf (ir.tesla.com)

A Tesla 2026 quarterly deck also lists Optimus construction in California and Texas, with the California first-generation line described as designed for 1M robots/year and replacing Model S/X lines in Fremont. URL: https://earnings-documents-prod.s3.amazonaws.com/5895…REDACTED/slides.pdf (earnings-documents-prod.s3.amazonaws.com)

Interpretation: Tesla has the most asymmetric public-market humanoid exposure, but the current evidence is still primarily capex/internal production readiness, not third-party robot labor revenue. Treat Optimus as a call option inside TSLA, not yet a standalone validated cash-flow line.


1X is moving consumer humanoids into production, with a real factory signal

1X says its NEO Factory in Hayward is producing NEO units and that it booked its next-year production capacity in five days, listing 10,000 NEOs. URL: https://www.1x.tech/discover/neo-factory (1x.tech)

1X also announced the Hayward NEO Factory in April 2026, with consumer shipments planned for 2026 and NVIDIA Jetson Thor used as the core compute for NEO Cortex. URL: https://www.globenewswire.com/news-release/2026/04/30/3285118/0/en/1x-o…REDACTED.html (globenewswire.com)

Interpretation: 1X is a high-signal deployment watch because it is trying the hardest market — home humanoids — but this also carries the highest execution/safety/support risk. Portfolio exposure remains mostly via NVIDIA / private-capital ecosystem unless direct access exists.


Boston Dynamics / Hyundai shifts Atlas from research icon to productized industrial roadmap

Boston Dynamics unveiled the product version of Atlas at CES 2026 and said all 2026 deployments were committed, with fleets scheduled for Hyundai’s Robotics Metaplant Application Center and Google DeepMind. URL: https://bostondynamics.com/blog/bost…REDACTED/ (bostondynamics.com)

Hyundai’s CES 2026 robotics strategy described Atlas deployment at HMGMA by 2028 for sequencing tasks and framed Hyundai’s manufacturing network as a training and deployment environment for end-to-end AI robotics. URL: https://www.hyundai.com/content/hyundai/worldwide/en/newsroom/detail/hyun…REDACTED.html (hyundai.com)

Interpretation: This is less explosive than Tesla/Figure but more industrially grounded. Hyundai/Boston Dynamics could become a durable manufacturing automation story if Atlas moves from committed fleets to measurable factory productivity.


China / Unitree: manufacturing scale and IPO market signal are now impossible to ignore

AP reported that Unitree shares surged in its Shanghai trading debut and that IPO proceeds are intended for advanced robot R&D and robot manufacturing base development. The same AP report cites Omdia estimates that roughly 15,000 humanoid robots shipped globally in 2025, with Unitree and AGIBOT each shipping more than 5,000, and estimates Chinese humanoid makers shipped around 18,500 units globally in H1 2026. URL: https://apnews.com/article/f33f…REDACTED (apnews.com)

Reuters, via Investing.com, reported Unitree priced its Shanghai IPO at 150.80 yuan/share and sought to raise 6.1B yuan, about $904M, to support embodied-AI model development, robot-body research, and manufacturing expansion. URL: https://www.investing.com/news/stock-market-news/expl…REDACTED (investing.com)

Interpretation: The China signal is scale, BOM discipline, and manufacturing speed. U.S. leaders may still have stronger AI models, but China is building the hardware-learning loop faster. This raises competitive pressure on Western humanoid valuations and increases the importance of supply chain / actuator / sensor / reducer exposure.


Agility and Apptronik: warehouse/factory use cases remain more credible than general home robots

Agility’s investor materials describe Digit v5 committed orders above $300M and a business model mixing deployment fees, annual RaaS subscription, purchase, Arc software, and maintenance. URL: https://www.sec.gov/Archives/edgar/data/2074973/000121390026071287/ea029548401ex99-2.htm (sec.gov)

AP reported in June 2026 that Agility was pursuing a public-market transaction around a $2.5B bet on warehouse humanoids, with Amazon, NVIDIA, SoftBank, and Foxconn named as backers. URL: https://apnews.com/article/39f2…REDACTED (apnews.com)

Apptronik announced a $350M Series A, backed by B Capital, Capital Factory, Google, Mercedes-Benz, PEAK6, AT&T Ventures, John Deere, and QIA, to scale Apollo humanoid production and deployment. URL: https://apptronik.com/company/press-releases (apptronik.com)

Interpretation: The credible near-term humanoid economy is repetitive material handling, kitting, tote movement, sequencing, intralogistics, inspection, and controlled manufacturing workflows — not open-ended domestic labor.


AI materials / autonomous labs: Model → Matter is expanding beyond robots into self-driving science infrastructure

Rice received nearly $20M from NSF for READINESS, an AI-powered autonomous experimentation platform for next-generation semiconductor synthesis using robotics, AI, and digital twins. URL: https://news.rice.edu/news/2026/acce…REDACTED (news.rice.edu)

Georgia Tech announced a national cloud laboratory for advanced manufacturing and materials, giving researchers remote access to AI-recommended experiments run with robotics at the Advanced Manufacturing Pilot Facility. URL: https://news.gatech.edu/news/2026/08/03/geor…REDACTED (news.gatech.edu)

The University of Tennessee announced a $20M NSF award for ATHENA, an AI-powered lab hub for high-throughput experimentation in nano- and atomic-scale materials, tied to the AIMD-NET programmable cloud laboratory network. URL: https://tickle.utk.edu/mse/ut-s…REDACTED/ (tickle.utk.edu)

Discovered Materials announced a $9M seed round to build AI agents for semiconductor materials discovery and released a Material Discovery Bench. URL: https://www.hpcwire.com/aiwire/2026/08/10/disc…REDACTED/ (hpcwire.com)

Interpretation: “Physical AI” is not only humanoids. Autonomous labs and AI-materials workflows are becoming a strategic bridge from AI reasoning to physical production. Public portfolio expression remains indirect: semiconductor supply chain, lab automation, industrial automation, cloud/HPC, and materials companies.


BCI / bionics: clinical progress exists, but investability is still early and mostly private

Neuralink’s trials page lists active trials for controlling devices and robotic arms through thought, active trials for thought-to-communication decoding, and an upcoming vision-restoration trial. URL: https://neuralink.com/trials/ (neuralink.com)

Neuralink’s “A Year of Telepathy” update describes PRIME as a fully implantable wireless BCI trial for people with quadriplegia, CONVOY as exploring control of assistive devices such as robotic arms, and CAN-PRIME as a Canada trial. URL: https://neuralink.com/updates/a-year-of-telepathy/ (neuralink.com)

Precision Neuroscience received FDA 510(k) clearance in April 2025 for its Layer 7 Cortical Interface, authorizing commercial use for recording, monitoring, and stimulation of brain-surface electrical activity for up to 30 days. URL: https://www.precisionneuro.io/articles/company-news/prec…REDACTED (precisionneuro.io)

Synchron’s current site states its COMMAND trial completed 12 months of safety follow-up under FDA IDE oversight and that 2026+ trials focus on people with paralysis in both arms. URL: https://synchronbci.com/ (synchronbci.com)

Interpretation: The BCI-human-machine boundary is strategically important for long-term embodiment and assistive robotics, but it is not yet a clean public-market growth engine. Treat as watchlist unless exposure exists through private vehicles, medtech acquirers, or suppliers.


Defense robotics/autonomy: strongest near-term buyer is government procurement

Anduril’s site describes Lattice-centered autonomous systems including Fury, Roadrunner, Ghost, Barracuda, Menace, Dive-XL and related autonomy products. URL: https://www.anduril.com/ (anduril.com)

Anduril’s Fury page describes an autonomous air vehicle designed to accelerate development, testing, and fielding of mission autonomy into operational reality. URL: https://www.anduril.com/fury/ (anduril.com)

Axios reported in March 2026 that Anduril was raising about $4B at a $60B valuation, led by a16z and Thrive, and later reported in July 2026 that Anduril had returned to market for a round that could value it around $100B. URLs: https://www.axios.com/2026/03/04/andu…REDACTED and https://www.axios.com/2026/07/24/andu…REDACTED (axios.com)

The U.S. Army announced a March 2026 enterprise contract with Anduril to consolidate procurement and management of Anduril’s commercially available technologies. URL: https://www.army.mil/article/291074/u_s_…REDACTED (army.mil)

Shield AI announced selection as a mission autonomy provider for the U.S. Air Force Collaborative Combat Aircraft program, with Hivemind integrated on Anduril’s Fury aircraft for system-level testing ahead of flight demonstrations. URL: https://shield.ai/shie…REDACTED/ (shield.ai)

AeroVironment’s SEC filing says it closed the BlueHalo acquisition on May 1, 2025 for net merger consideration of about $3.485B, and AeroVironment says the acquisition advances its position across air, land, sea, space, and cyber defense technology. URL: https://www.sec.gov/Archives/edgar/data/1368622/000110465926076141/avav-20260131x10qa.htm (sec.gov)

AeroVironment/BlueHalo described the combined company’s autonomous systems exposure as including uncrewed systems, precision strike and one-way attack systems, counter-UAS, RF sensors, electronic warfare, ground and maritime robotic solutions, and MacCready Works. URL: https://www.avinc.com/2025/05/01/aero…REDACTED/ (avinc.com)

Interpretation: Defense autonomy has the clearest paying customer, but also headline, policy, and ethics risk. Public expression through AVAV is more direct than trying to access Anduril or Shield AI privately.


CAPITAL_FLOW_MAP

Confirmed / high-signal capital flows

Area Company / Entity Capital Signal Source
Robot foundation models Skild AI ~$1.4B raise; valuation >$14B Morningstar / Business Wire: https://www.morningstar.com/news/business-wire/20260114335623/skil…REDACTED
Defense autonomy Anduril Reported ~$4B raise at ~$60B valuation; later discussion around ~$100B valuation Axios: https://www.axios.com/2026/03/04/andu…REDACTED ; https://www.axios.com/2026/07/24/andu…REDACTED
Humanoid deployment Apptronik $350M Series A to scale Apollo production/deployment Apptronik: https://apptronik.com/company/press-releases
China humanoid manufacturing Unitree Shanghai IPO priced at 150.80 yuan/share; target raise 6.1B yuan / ~$904M Reuters via Investing.com: https://www.investing.com/news/stock-market-news/expl…REDACTED
Defense robotics public M&A AeroVironment / BlueHalo BlueHalo acquisition closed; net merger consideration ~$3.485B in SEC filing SEC: https://www.sec.gov/Archives/edgar/data/1368622/000110465926076141/avav-20260131x10qa.htm
AI materials / autonomous labs NSF-funded university network Multiple ~$18M–$20M awards to autonomous labs Rice / Georgia Tech / UT sources above
Consumer humanoids 1X Factory launch; production capacity claimed booked for 10,000 NEOs 1X: https://www.1x.tech/discover/neo-factory

Capital-flow interpretation

  • Private capital is overpaying for optionality in robot brains and defense autonomy, but that itself is a thesis signal: investors believe the next large AI market is physical-world execution.
  • Public-market access is uneven. NVIDIA, Alphabet, Tesla, AeroVironment, Hyundai, BMW, Mercedes-Benz, Amazon, Deere, AT&T, SoftBank, and Foxconn provide partial or indirect exposure; Figure, 1X, Skild, Physical Intelligence, Anduril, Shield AI, and Apptronik remain mostly private.
  • Defense and industrial logistics have clearer buyer paths than domestic humanoids.

CONVERSION_LAYER

AI → robot policy

  • NVIDIA Cosmos / Isaac / GR00T and Google Gemini Robotics are converting foundation-model progress into physically grounded robot control and simulation workflows.
  • Skild and Figure/Helix represent the private robot-brain thesis: generalize across hardware and tasks.

Robot → economic work

Near-term credible tasks:

  • factory logistics;
  • sequencing;
  • tote movement;
  • kitting;
  • repetitive part handling;
  • inspection;
  • warehouse handling;
  • controlled industrial assistance;
  • defense ISR / counter-UAS / autonomous aircraft.

Lower-confidence tasks:

  • open-ended home labor;
  • full dexterous assembly in chaotic environments;
  • unsupervised high-consequence human interaction;
  • humanoid replacement of skilled human labor.

Model → matter

  • Autonomous labs are turning AI planning into physical experimentation loops.
  • The strongest current public-sector signal is NSF-funded programmable cloud labs for semiconductor, metals, polymer, nano, and bio-inspired materials.

TIME_MAP

0–6 months

  • Watch for first measurable 1X consumer shipments and support/failure rates.
  • Watch Figure/BMW for specific workflow metrics: hours worked, task success rate, uptime, number of robots, and expansion beyond pilot.
  • Watch Tesla for actual Optimus production output, not just line construction.
  • Watch Anduril funding / procurement and Fury / CCA milestones.
  • Watch Unitree post-IPO disclosures for production, margins, and export/geopolitical restrictions.

6–18 months

  • Robot-brain benchmarks become more important than walking demos.
  • Simulation/world-model infrastructure may consolidate around NVIDIA and Google.
  • Logistics/factory deployments should begin separating credible operators from demo companies.
  • Defense autonomous systems procurement likely remains faster than civilian humanoid adoption.

18–36 months

  • If humanoids become real, the signal will be fleet utilization, service gross margin, safety record, and customer renewal — not videos.
  • AI-materials labs could begin generating commercially relevant discoveries, but industrial translation remains slower than software.

BOTTLENECK_INDEX

Highest bottleneck: dexterity and manipulation

Walking is less differentiated than useful hands, tactile feedback, grip reliability, manipulation under uncertainty, and fast recovery from failure. Figure, Google Gemini Robotics, 1X, and Tesla all point toward dexterity, but public metrics remain limited.

Data bottleneck

Robots need real-world interaction data. Companies with factories, warehouses, consumer fleets, or simulation-scale tools have advantage.

Sim-to-real bottleneck

World models and synthetic data are improving, but policy transfer still needs controlled environments and expensive iteration.

BOM / manufacturing bottleneck

China’s Unitree/AGIBOT scale suggests Western companies may be behind on cheap, repeatable hardware production. Actuators, harmonic drives, reducers, batteries, sensors, and embedded compute remain key.

Safety/regulatory bottleneck

Home robots, BCI, and defense autonomy face very different regulatory burdens. BCI is clinically slow; defense can procure faster but has policy/ethical risk; home robots may hit liability/support walls.

Business-model bottleneck

RaaS makes sense only if uptime and task ROI are real. Hardware gross margin, maintenance burden, and deployment labor can destroy humanoid economics.


THESIS_STATE

Thesis strengthened

  • Physical AI is becoming the next major AI conversion layer.
  • Infrastructure/platform exposure is more investable than most embodiment startups.
  • Defense autonomy and industrial logistics are nearer-term monetization paths.
  • Robot-brain companies are absorbing serious capital, validating the software abstraction thesis.

Thesis unchanged

  • Dexterity remains the key economic frontier.
  • Humanoid form factor is not itself the thesis; useful manipulation and deployment ROI are.
  • Most private humanoid valuations likely embed large execution risk.

Thesis weakened / caution added

  • China’s hardware/manufacturing scale may compress Western hardware differentiation.
  • Consumer humanoids remain high-risk despite 1X factory progress.
  • Robot videos are now less informative; only production, deployment, uptime, safety, and customer renewal matter.

SOURCES

  1. NVIDIA — “NVIDIA and Global Robotics Leaders Take Physical AI to the Real World”
    URL: https://investor.nvidia.com/news/press-release-details/2026/NVID…REDACTED/

  2. NVIDIA — Cosmos / GR00T / Isaac release PDF
    URL: https://nvidianews.nvidia.com/_gallery/download_pdf/695c…REDACTED/

  3. Google DeepMind — “Gemini Robotics 2 brings whole body intelligence to robots”
    URL: https://deepmind.google/blog/gemi…REDACTED/

  4. Google — “Gemini Robotics-ER 1.6”
    URL: https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemi…REDACTED/

  5. Skild AI / Business Wire via Morningstar — “Skild AI Raises $1.4B, Now Valued Over $14B”
    URL: https://www.morningstar.com/news/business-wire/20260114335623/skil…REDACTED

  6. Figure AI — “F.03 Arrives at BMW”
    URL: https://www.figure.ai/news/f-03-at-bmw

  7. Figure AI — Helix
    URL: https://www.figure.ai/helix

  8. Tesla Q1 2026 SEC / investor document
    URL: https://ir.tesla.com/_flysystem/s3/sec/000162828026026551/tsla-20260422-gen.pdf

  9. Tesla 2026 quarterly update deck
    URL: https://earnings-documents-prod.s3.amazonaws.com/5895…REDACTED/slides.pdf

  10. 1X — NEO Factory
    URL: https://www.1x.tech/discover/neo-factory

  11. 1X / GlobeNewswire — Hayward NEO Factory
    URL: https://www.globenewswire.com/news-release/2026/04/30/3285118/0/en/1x-o…REDACTED.html

  12. Boston Dynamics — Product Atlas announcement
    URL: https://bostondynamics.com/blog/bost…REDACTED/

  13. Hyundai — AI Robotics Strategy at CES 2026
    URL: https://www.hyundai.com/content/hyundai/worldwide/en/newsroom/detail/hyun…REDACTED.html

  14. AP — Unitree Shanghai trading debut
    URL: https://apnews.com/article/f33f…REDACTED

  15. Reuters via Investing.com — Unitree IPO explainer
    URL: https://www.investing.com/news/stock-market-news/expl…REDACTED

  16. Agility Robotics SEC investor presentation
    URL: https://www.sec.gov/Archives/edgar/data/2074973/000121390026071287/ea029548401ex99-2.htm

  17. AP — Agility Robotics public-market transaction / warehouse humanoids
    URL: https://apnews.com/article/39f2…REDACTED

  18. Apptronik — Press releases / Series A
    URL: https://apptronik.com/company/press-releases

  19. Rice University — NSF award for AI-powered materials lab
    URL: https://news.rice.edu/news/2026/acce…REDACTED

  20. Georgia Tech — National cloud laboratory for advanced manufacturing and materials
    URL: https://news.gatech.edu/news/2026/08/03/geor…REDACTED

  21. University of Tennessee — ATHENA NSF grant
    URL: https://tickle.utk.edu/mse/ut-s…REDACTED/

  22. HPCwire / AIwire — Discovered Materials seed round
    URL: https://www.hpcwire.com/aiwire/2026/08/10/disc…REDACTED/

  23. Neuralink — Clinical trials
    URL: https://neuralink.com/trials/

  24. Neuralink — “A Year of Telepathy”
    URL: https://neuralink.com/updates/a-year-of-telepathy/

  25. Precision Neuroscience — FDA clearance for Layer 7 Cortical Interface
    URL: https://www.precisionneuro.io/articles/company-news/prec…REDACTED

  26. Synchron — BCI trials / COMMAND follow-up
    URL: https://synchronbci.com/

  27. Anduril — Company / autonomous defense systems
    URL: https://www.anduril.com/

  28. Anduril — Fury autonomous air vehicle
    URL: https://www.anduril.com/fury/

  29. Axios — Anduril $4B / $60B valuation report
    URL: https://www.axios.com/2026/03/04/andu…REDACTED

  30. Axios — Anduril possible $100B valuation report
    URL: https://www.axios.com/2026/07/24/andu…REDACTED

  31. U.S. Army — Anduril enterprise contract
    URL: https://www.army.mil/article/291074/u_s_…REDACTED

  32. Shield AI — CCA / Hivemind / Anduril Fury integration
    URL: https://shield.ai/shie…REDACTED/

  33. AeroVironment SEC filing — BlueHalo acquisition
    URL: https://www.sec.gov/Archives/edgar/data/1368622/000110465926076141/avav-20260131x10qa.htm

  34. AeroVironment — BlueHalo transaction / autonomous systems
    URL: https://www.avinc.com/2025/05/01/aero…REDACTED/

Source in the house: eth-memory/sol/reports/2026-08-23-physical-ai-model-to-matter.md☉ Sol