Recalld vs QED Science

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Recalld compared with QED Science
Detail	Recalld	QED Science
What it does	The memory layer for AI Agents	Critical Thinking AI for constructive criticism and science evaluation
Stage	Growing	Not given
Founded	Not given	Not given
Based in	Not given	IL
Pricing model	Freemium	Freemium
Pricing	Not given	Not given
Key features	Long-term memory for AI agents Automatic fact extraction and reconciliation Curated recall retrieval Raw vector search capability Model Context Protocol integration Regional data residency End-to-end encryption Right to erasure Bring-your-own-key model support Recalld Chat assistant	Core claim extraction and validation Grant proposal evaluation Personalized research insights feed Validity scoring and contradiction resolution SOC 2 Type II and ISO 27001 compliance Data privacy with no model training on submissions
What makes it different	Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy Automatic fact updating and reconciliation without manual deduplication pipelines Verified on open benchmark maintained by independent company Native MCP server requiring no SDK or glue code GDPR-compliant by design with transparent data handling	Only AI platform trained on feedback from thousands of domain experts including Nobel laureates User manuscripts never used for model training or fine-tuning Provides nature-reviewer-level feedback at scale Built by scientists for scientists
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	1 +1 (up) since last check	33 +1 (up) since last check
Trust Flow (Majestic)	0	29
Citation Flow (Majestic)	15	25
Referring domains (Majestic)	10	157

4 details filled in for both companies.

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