Subquadratic vs Syndicate
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 Syndicate
| Detail |
Subquadratic |
Syndicate |
| What it does | Efficiency is Intelligence
| Manage your own team of AI agents
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| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| US
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| Pricing model | Paid
| Free
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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
| - Atlas manager agent that breaks down tasks and delegates to specialists
- Ready-made team templates for marketing, research, operations, and more
- Agent Marketplace with 20+ built-in specialists
- Four control modes from Minimal to Manual for agent autonomy
- Support for Claude, OpenAI, Gemini, and GitHub Copilot on one team
- Live activity feed, task board, and team inbox with file previews
- Agent memory and shared Decision Ledger across sessions
- Agent Creator to build custom specialists in plain English
- MCP server integration to connect agents to outside services
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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
| - One team can use multiple AI providers simultaneously
- Atlas manager agent coordinates specialist agents with real-time task handoffs
- Agents maintain memory across sessions with no re-explaining preferences
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 52 ▲ +1 (up) since last check | 4 ● no change since last check |
| Trust Flow (Majestic) | 17 | 0 |
| Citation Flow (Majestic) | 37 | 24 |
| Referring domains (Majestic) | 654 | 22 |
5 details filled in for both companies.
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