Subquadratic Inc.
Subquadratic is building a new class of LLMs using sub-quadratic sparse attention architecture to overcome the efficiency and context window limits of traditional Transformers.
At a Glance
AI Tools by Subquadratic Inc.
(1)SubQ
Sparse Attention LLM Architecture
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Latest News
Subquadratic launches with $29M to bring 12M-token context windows to AI
Miami startup Subquadratic claims 1,000x AI efficiency gain with SubQ model
Subquadratic Raises $29.0M Seed Round
Introducing SubQ: The First Fully Subquadratic LLM
Products & Services
The first fully sub-quadratic Large Language Model (LLM) featuring a 12-million-token context window.
Market Position
Positions itself as a more efficient alternative to traditional Transformer-based LLMs like GPT-4 and Claude 3, offering significantly larger context windows at a fraction of the cost.
Leadership
Founders
Justin Dangel
Five-time founder and CEO with a track record in health tech, insurance tech, and consumer goods. Co-founder of Firefly Health, myLaurel, and Canback Consulting.
Alexander Whedon
Former Software Engineer at Meta and Head of Generative AI at TribeAI, where he led over 40 generative AI projects.
Jamie Brough
Founder and Rust developer at Subquadratic, based in London.
Executive Team
Justin Dangel
Co-founder and CEO
Serial entrepreneur with experience founding multiple technology companies including Firefly Health and myLaurel.
Alexander Whedon
Co-founder and CTO
Expert in generative AI; previously worked at Meta and TribeAI.
Board of Directors
Founding Story
The company was started to solve the quadratic scaling problem of attention mechanisms in Transformer models, which makes large context windows prohibitively expensive and slow.
Business Model
Revenue Model
Consumption-based API usage; claims to be 50x cheaper than leading frontier models with OpenAI-style integration compatibility.
Pricing Tiers
5% of the cost of leading models like Claude Opus; supports streaming and tool use.
Target Markets
- Enterprise AI
- LegalTech
- FinTech
- HealthTech
- Software Development
- Reasoning across large codebases
- Legal document analysis
- Financial modeling and research
- Healthcare data processing
- Complex enterprise workflows
- Enterprises in early access beta