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Tandri vs Subquadratic

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

Tandri compared with Subquadratic
DetailTandri logo TandriSubquadratic logo Subquadratic
What it doesKeep project context in files you control, continue in a new chat, and add Council and Judge review Efficiency is Intelligence
StageMVP Startup
Founded2023 Not given
Based inDE US
Pricing modelFree Paid
PricingFree for the general system including project memory, Council and Judge, tutorials and health checks. Optional specialist packs will have separate pricing when ready. Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
Key features
  • Save project context in local files you control
  • Continue work across different AI tools and chats
  • Council feature with separate AI reviewers
  • Judge weighs evidence and recommends next steps
  • Save project decisions and dated notes
  • 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
What makes it different
  • Files you control, not another AI model or subscription service
  • Free forever with optional paid specialist packs
  • Built by a solo developer shipping real products using the same system
  • 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
Community votes00
DR (Domain Rating by Ahrefs)5 no change since last check52 no change since last check
Trust Flow (Majestic)317
Citation Flow (Majestic)1837
Referring domains (Majestic)20654

7 details filled in for both companies.

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