Subquadratic vs Woise
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 Woise
| Detail | 
Subquadratic | 
Woise |
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| What it does | Efficiency is Intelligence
| AI agents that make and answer real phone calls, designed in a drag-and-drop builder
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| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| IN
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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
| - Drag-and-drop visual conversation builder
- In-browser testing before real calls
- Make and answer phone calls
- Chat on websites and WhatsApp
- Multi-language support
- CRM and calendar integrations
- Full call transcripts and recordings
- Mid-call system actions
- Document sourcing for agent responses
- Outbound call campaigns
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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
| - Test conversations in browser before connecting a real phone number
- Go live without a sales conversation or contract negotiation
- Agents can read and write to connected systems during active calls
- Pay only for minutes your agents actually use
- 26 integrated systems including Salesforce, HubSpot and Google Calendar
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 53 ▲ +1 (up) since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 0 |
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| Citation Flow (Majestic) | 37 | 21 |
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| Referring domains (Majestic) | 654 | 2 |
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4 details filled in for both companies.
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