# Subquadratic

> AI-model developer building long-context SubQ architectures with sparse, subquadratic attention computation.

## Why it is interesting

A clear $29M seed-funded bet on reducing long-context inference cost by redesigning attention scaling, rather than NCM's parallel concept generation.

## Profile

- **Latest funding:** Seed — $29M (May 5, 2026)
- **Latest known valuation:** Not publicly disclosed
- **Total disclosed equity funding:** $29M
- **Stage:** seed
- **Status:** private
- **Industries:** N/A
- **Coverage:** full
- **Last updated:** 2026-11-13
- **Latest funding investors:** Javier Villamizar, Justin Mateen (JAM Fund), Grant Gittlin (Lasagna), Jaclyn Rice Nelson (Coalition Operators)

## Key facts

- $29M company-announced seed on May 5, 2026
- Named individual backers but lead undisclosed
- SubQ API, Code and Search announced for private beta

## Funding history

- Seed · $29M · May 5, 2026
  Source: https://subq.ai/introducing-subq

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)
**Last updated:** November 13, 2026

**Editorial note:** AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.

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Source: https://venturecapitaltracker.com/startup/subquadratic