Subquadratic vs Shield AI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Subquadratic compared with Shield AI
| Detail |
Subquadratic |
Shield AI |
| What it does | Efficiency is Intelligence
| Defense-tech company building AI pilots and autonomous aircraft
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| Stage | Startup
| Established
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| Founded | Not given
| 2015
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| Based in | US
| US
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| Pricing model | Paid
| Not given
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| Not given
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| Key features | - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
| - Hivemind autonomy stack for aircraft
- X-BAT autonomous aircraft platform
- V-BAT ISR and targeting system
- Aechelon synthetic reality simulation platform
- Mission autonomy in degraded environments
- Integration with military platforms like Avenger and Firejet
- SkyBeam vision systems
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| What makes it different | - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
| - Autonomy in contested and degraded communications environments
- Combat-tested, modular, human-directable autonomy
- Software and AI engineering from next-generation technology company
- Integrated AI and autonomy backbone across multiple domains
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 51 ▼ −1 (down) since last check | 71 ● no change since last check |
| Trust Flow (Majestic) | 17 | 22 |
| Citation Flow (Majestic) | 37 | 50 |
| Referring domains (Majestic) | 654 | 2755 |
5 details filled in for both companies.
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