Subquadratic vs Ace Waves
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 Ace Waves
| Detail |
Subquadratic |
Ace Waves |
| What it does | Efficiency is Intelligence
| AI agent platform to automate and monetize customer service
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| Stage | Startup
| Not given
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| Founded | Not given
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| Based in | US
| LT
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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.
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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
| - Multi-step case resolution including refunds, subscription changes, order disputes
- Native integrations with helpdesk, CRM, order management, billing, and payment tools
- Automated escalation to humans for unclear or sensitive cases
- Revenue optimization through churn prevention and upselling
- Context-aware natural conversation across channels
- Support across full customer journey from pre-purchase to retention
- Voice, chat, email, and social channels in 90+ languages
- Complete decision transparency and traceability logging
- Agent Graph visual system with real-time coordination
- Forward-Deployed delivery with embedded engineers
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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
| - Resolves up to 87% of support cases and cuts costs up to 60%
- Live in weeks, not quarters with no engineering team required
- Pre-trained agents arrive with industry knowledge
- Full visibility with no black box decisions
- Agents reason within guardrails instead of following rigid scripts
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 53 ▲ +1 (up) since last check | 19 ● no change since last check |
| Trust Flow (Majestic) | 17 | 6 |
| Citation Flow (Majestic) | 37 | 29 |
| Referring domains (Majestic) | 654 | 55 |
4 details filled in for both companies.
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