SubquadraticLaunch orchestrated by The Launch Video Company (TLVC)

Building better algorithms. Co-Founder at @subquadratic

Subquadratic is a frontier AI research company launching SubQ, a large language model designed for very long context workloads, alongside SubQ Code, a coding agent built on the same architecture. The product is aimed at developers and AI teams whose agents need to reason across entire codebases, large document corpora, or multi-week task histories without the chunking and retrieval scaffolding that current models require. Where the industry standard is 128,000 tokens for many AI models and up to 1 million tokens for frontier cloud models such as Claude Sonnet 4.7 and Gemini 3.1 Pro, SubQ can manage a context window of up to 12 million tokens, maintain accuracy, increase speed and reduce compute cost. The technical claim behind the launch is architectural rather than incremental. Co-founders Justin Dangel, who is chief executive, and Chief Technology Officer Alexander Whedon told SiliconANGLE the company settled on a proprietary transformer architecture that implements sparse attention, focused on transitioning from a dense, quadratic-scaling architecture to a sparse, linear one. Instead of comparing every token to every other token, SubQ identifies and computes only the relationships that matter, which the company says cuts attention compute by close to 1,000 times at the 12 million token mark and delivers roughly a 52x speedup over FlashAttention at 1 million tokens. On RULER at 128K, SubQ scores 97.1 against Opus 4.6's 94.8, with reported speedups of 7.2x at 128K and 52.2x at 1M in its benchmarks. The launch matters now because long-context performance has become the binding constraint for serious agent work, and most current solutions paper over it with RAG and orchestration layers that add latency and bias. The company was previously called Aldea and worked on speech models before pivoting , and has raised $29 million to date at a $500 million valuation from investors including former SoftBank Vision Fund partner Javier Villamizar and Tinder co-founder Justin Mat een. Early access to both SubQ and SubQ Code is open through subq.ai.

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