A venture “Tribe” of seasoned operators, engineers, and innovators backing founders in DeepTech, HealthTech, and DefenseTech—turning bold ideas into enduring companies for a safer, healthier, more prosperous future.
Original, investor-grade deep dives on the companies we’ve backed and the forces shaping their markets — from defense technology and autonomous systems to AI, cybersecurity, and health innovation. Rigorous analysis, real conviction, and the diligence story behind every investment, told in full.
Deterrence used to hinge on warhead counts — now it hinges on milliseconds. We break down why autonomous defense systems, cross-domain integration, and the industrial base behind them may be the most mispriced asset class in venture today, and where the edge actually lives.
China didn’t just compete its way to superpower status — it stole its way there. Former DIA Director David Shedd reveals the largest intellectual property heist in human history, and why every investor and technology leader needs to pay attention.
"Stability is the new risk." Arun Gupta's The Mission Generation makes the case that in an age of AI disruption and institutional collapse, purpose isn't a luxury — it's the only career strategy that compounds.
Intelligence that talks has been perfected. Now comes intelligence that builds. A thesis on AGI Engineering — and why I believe the physical world is the next frontier for transformative capital.
AI capability is commoditizing fast. The new competitive moat is trust — the ability to prove your AI behaves predictably when failure is unacceptable. Organizations that engineer trust at scale will move faster, deploy more deeply, and win in the AI era.
Terafab is Musk’s effort to build a tighter compute manufacturing stack for Tesla, xAI, and SpaceX. It is best understood as a proposal to reorganize the physical production of AI compute around a much tighter relationship between design, fabrication, packaging, deployment, and energy supply.
Anduril is evolving from an autonomy software challenger into a vertically integrated defense producer. This research examines whether its Lattice platform, private capital and Arsenal factories can deliver certified systems at scale—on schedule, with repeat orders and durable economics.
Deterrence used to hinge on warhead counts — now it hinges on milliseconds. We break down why autonomous defense systems, cross-domain integration, and the industrial base behind them may be the most mispriced asset class in venture today, and where the edge actually lives.
China didn’t just compete its way to superpower status — it stole its way there. Former DIA Director David Shedd reveals the largest intellectual property heist in human history, and why every investor and technology leader needs to pay attention.
Intelligence that talks has been perfected. Now comes intelligence that builds. A thesis on AGI Engineering — and why I believe the physical world is the next frontier for transformative capital.
AI capability is commoditizing fast. The new competitive moat is trust — the ability to prove your AI behaves predictably when failure is unacceptable. Organizations that engineer trust at scale will move faster, deploy more deeply, and win in the AI era.
Terafab is Musk’s effort to build a tighter compute manufacturing stack for Tesla, xAI, and SpaceX. It is best understood as a proposal to reorganize the physical production of AI compute around a much tighter relationship between design, fabrication, packaging, deployment, and energy supply.
Autonomy 2.0 is no longer about self-driving cars — it’s about orchestrated systems. From V2X infrastructure to urban air mobility, the $5.44T opportunity lies in the intelligence that connects it all.
Three incidents in nine months exposed a systemic failure: AI agents running 80–90% of state espionage campaigns, frontier models blackmailing engineers at 84% rates, and 40,000 unsupervised agents deployed without oversight. The kill switch is broken—but $8.5B is building the next one.
Can your company actually become dual-use ready — across technology, funding, and customers — before you run out of time or identity?
Earth is hitting a wall on AI, not because we’ve run out of land, but because we’ve run out of grid, water, and political will. Global data centers already consume 415 terawatt-hours of electricity annually—and demand is projected to surge 165% by 2030.
How hybrid quantum-classical systems are solving real problems — and what it means for federal missions and investors.
How institutional investors verify pre-IPO transactions, model liquidity scenarios, and construct portfolios that balance conviction with diversification.
Evaluating pre-IPO investments requires a fundamentally different analytical framework than public equities. Without quarterly earnings, SEC filings, or market-discovered pricing, investors must construct their own assessment across three critical dimensions covered in this framework.
Undersea cables are being cut. Adversaries deploy submarine-sized autonomous drones. The Pentagon commits $13B to maritime autonomy. This $46B market represents defense tech's next late-stage opportunity—and the deployment window is open now. Smart capital is moving from air to ocean!
The GenAI investment narrative is shifting from training economics to deployment economics. While foundation model training remains strategically important, the emerging opportunity lies in “cheap intelligence”.
Robot fight leagues are becoming far more strategically valuable than feeder systems for humanoid manufacturers. They're becoming the public R&D testbed and benchmark infrastructure that every player in physical AI will ultimately depend on.
Stablecoins represent one of the most significant financial innovations of our time. What started as an experimental solution to cryptocurrency volatility has evolved into a $290 billion ecosystem that processed over $8.9 trillion in transactions in just the first half of 2025.
Firehawk's proprietary additive manufacturing approach fundamentally transforms solid rocket motor production by addressing historical limitations that have constrained hybrid rocket performance, specifically the low regression rates and limited mixing efficiency that plagued earlier designs.
In the hidden corners of our connected world, a new type of conflict is taking shape, unseen yet powerful. Cognitive warfare, which uses digital tech and mind games, is becoming a real threat to our national security and how our society functions.
Three incidents in nine months exposed a systemic failure: AI agents running 80–90% of state espionage campaigns, frontier models blackmailing engineers at 84% rates, and 40,000 unsupervised agents deployed without oversight. The kill switch is broken—but $8.5B is building the next one.
Earth is hitting a wall on AI, not because we’ve run out of land, but because we’ve run out of grid, water, and political will. Global data centers already consume 415 terawatt-hours of electricity annually—and demand is projected to surge 165% by 2030.
How hybrid quantum-classical systems are solving real problems — and what it means for federal missions and investors.
How institutional investors verify pre-IPO transactions, model liquidity scenarios, and construct portfolios that balance conviction with diversification.
Evaluating pre-IPO investments requires a fundamentally different analytical framework than public equities. Without quarterly earnings, SEC filings, or market-discovered pricing, investors must construct their own assessment across three critical dimensions covered in this framework.
Undersea cables are being cut. Adversaries deploy submarine-sized autonomous drones. The Pentagon commits $13B to maritime autonomy. This $46B market represents defense tech's next late-stage opportunity—and the deployment window is open now. Smart capital is moving from air to ocean!
Agentic AI—autonomous AI agents that don’t just help, but actually act, make decisions, and handle tasks on their own—are rewriting the rules. Instead of building huge centers full of people, the new model focuses on “Agent Factories” that coordinate smart systems.
The GenAI investment narrative is shifting from training economics to deployment economics. While foundation model training remains strategically important, the emerging opportunity lies in “cheap intelligence”.
