Lessie AI vs Subquadratic
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Lessie AI compared with Subquadratic
| Detail |
Lessie AI |
Subquadratic |
| What it does | AI people search engine that finds influencers, leads, investors and talent instantly across 100+ sources
| Efficiency is Intelligence
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | SG
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Basic: $99/month (1000 credits/month, 50 emails/day, 1 concurrent task); Pro: $299/month (4000 credits/month, 100 emails/day, 3 concurrent tasks); Max: $699/month (10000 credits/month, 200 emails/day, 5 concurrent tasks). Annual plans available with 62% savings. Limited-time offer: double credits fo
| Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
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| Key features | - Natural language search to describe ideal contacts by role, industry, location or interests
- Searches 100+ data sources including LinkedIn, Twitter, YouTube, GitHub and company databases
- Smart lead scoring and prioritization by relevance and engagement potential
- Custom AI-personalized outreach messages for each contact
- One-click email and phone number unlock
- Export task results to CRM or ATS
- Deep-dive person profiles with career, background and influence
- Skills and CLI API for workflow automation
- Access to 50M+ verified profiles across platforms
| - 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 | - First AI people search agent automating the entire identify-source-review-connect workflow
- 95% contact accuracy with verified results from 100+ data sources
- 3x higher reply rates through AI-personalized outreach at scale
- Searches in seconds without Boolean queries or complex filtering
| - 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 |
| DR (Domain Rating by Ahrefs) | 42 ● no change since last check | 52 ● no change since last check |
| Trust Flow (Majestic) | 7 | 17 |
| Citation Flow (Majestic) | 30 | 37 |
| Referring domains (Majestic) | 460 | 654 |
6 details filled in for both companies.
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