Atmita vs Subquadratic
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Atmita compared with Subquadratic
| Detail | 
Atmita | 
Subquadratic |
|---|
| What it does | An AI agent that works in your apps, the browser, and any API, running on its own schedule with memory and continuous improvement
| Efficiency is Intelligence
|
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| Stage | Startup
| Startup
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| Founded | 2025
| Not given
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| Based in | KW
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Not given
| Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
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| Key features | - Connects to 1,000+ apps and APIs
- Cloud browser capability
- Automations with self-review
- Long-term memory that improves over time
- Group chats with shared agent
- Plain language task description
- Lead list building and research
- Personalized email sequences
- Reply triage and intelligent follow-ups
- Live pipeline dashboard and CRM refresh
| - 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
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| What makes it different | - Runs autonomously on its own schedule, even when you're not working
- No coding required - describe tasks in plain English
- Remembers context and improves performance over time
- Independent and self-funded with no outside investors
- Designed for non-technical users and small businesses
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 12 ● no change since last check | 52 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 17 |
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| Citation Flow (Majestic) | 25 | 37 |
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| Referring domains (Majestic) | 39 | 654 |
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6 details filled in for both companies.
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