Epirus and CHAOS Industries are two of the best-capitalised US counter-UAS scale-ups, and they solve different halves of the problem. Epirus defeats drones with high-power microwave directed energy, frying onboard electronics with no consumable munition cost per kill. CHAOS Industries detects and tracks them with a coherent distributed sensor network. Both are scaling against the same FY27 DAWG counter-drone demand, with structurally different capabilities and capital.
Side By Side
| Epirus | CHAOS Industries | |
|---|---|---|
| Founded | 2018 | 2022 |
| Headquarters | Torrance, California | Los Angeles, California |
| Status | Private | Private |
| Latest Valuation | Not publicly disclosed | $4.5 billion (November 2025) |
| Total Funding / Capital | $550 million+ cumulative; $250M Series D, March 2025 | $1 billion+ cumulative; $510M Series D, November 2025 |
| Strategic Backing | General Dynamics Land Systems | Valor Equity Partners, 8VC, Accel |
| Primary Capability | High-power microwave directed-energy defeat (Leonidas) | Coherent distributed-network detection and tracking |
| Role in the Stack | Non-kinetic defeat of saturating drone swarms | Detection and tracking across a synchronised sensor mesh |
| US Army Status | Programme-of-record direction | G-TEAD Marketplace selection (December 2025) |
| NDAA / Federal Procurement | Compliant | Compliant |
DEFEAT VERSUS DETECT
Epirus is an effector. Its Leonidas platform is the most operationally credible high-power microwave counter-drone capability in the US defence industrial base, defeating inbound drones by disabling their electronics, with multiple targets engaged per pulse and no per-kill munition cost. The strategic value is solving the cost-equation problem that conventional kinetic counter-UAS cannot address against saturating swarms.
CHAOS Industries sits at a different layer. Its coherent distributed networks synchronise sensor data across a mesh of devices, producing detection and tracking capability that exceeds any single point sensor. Where Epirus defeats the swarm, CHAOS sees it. The two are complementary as much as competitive, and a complete architecture would plausibly use both, distributed detection feeding a directed-energy effector.
THE CAPITAL SIGNAL
The capital structures tell the story of how the market is pricing each approach. CHAOS Industries raised a $510 million Series D in November 2025 at a $4.5 billion valuation, backed by Valor Equity Partners, 8VC, and Accel, an unusually large round for a detection-layer company. Epirus has raised more than $550 million cumulatively, with General Dynamics Land Systems as a strategic investor, anchoring it to a defence prime's integration roadmap.
Both are positioned for the FY27 DAWG counter-drone demand signal, but along different paths. Epirus is being pulled toward programme-of-record direction as the directed-energy effector. CHAOS Industries is entering through the US Army G-TEAD Marketplace as the distributed detection layer.
When To Choose
Choose Epirus if:
- Buyer needs non-kinetic defeat of saturating drone swarms with no per-kill munition cost
- Directed energy that disables electronics rather than jamming or kinetic interception is the requirement
- Integration with a defence prime roadmap is an advantage
Choose CHAOS Industries if:
- Buyer needs detection and tracking across a distributed sensor network, the see-it layer
- Maintaining track on saturating swarms that defeat point sensors is the problem
- A detection layer that feeds downstream effectors is the architectural goal
Full Profiles
Epirus
Torrance, California, USA · Private
High-power microwave (HPM) counter-drone systems. Leonidas platform is the leading non-kinetic solution for defeating drone swarms at distance.
View profile →CHAOS Industries
Los Angeles, California, USA · Private
Defence technology scale-up. Coherent distributed networks (CDN) for sensing, detection, and counter-UAS effects. $1 billion total raised; $4.5 billion valuation in November 2025.
View profile →Sources & References
Drone Intelligence, Comparison. Compiled from public filings, primary sources, and verified disclosures. Last updated 8 June 2026.
paul@droneintelligence.ai