Trim blog · Jan 2026
Trim’s later technical post focused on transformer design choices for physical trajectory prediction and related modeling tradeoffs.
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Trim is a San Francisco-based YC W25 AI research startup building a foundation model for physics simulation. Its public-facing product is the Trim Transformer, a linear/multi-linear-attention model intended to simulate real-world physical systems faster and with lower memory use than traditional numerical solvers.
Primary product
Trim Transformer
Founded
2024
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Software Development
Sub-industry
AI research / physics simulation
Offices
0 jobs at Trim
Check back later for new openings
Business model
Stage
pre-seed
Total raised
$500K
Latest round
Pre-seed · Mar 2025
Latest amount
$500K
Mar 2025 · Y Combinator
Leadership
Founder
Investors
Research-heavy, physics-first, benchmark-driven, and open-source oriented.
Differentiators
Technology
Competitors
Trim blog · Jan 2026
Trim’s later technical post focused on transformer design choices for physical trajectory prediction and related modeling tradeoffs.
HUGE Magazine · Jan 2026
Feature article on Trim’s physics-simulation foundation model, the Trim Transformer, its Galerkin-type attention approach, open-source strategy, and founder background.
Trim blog · Jul 2025
Trim’s technical post introducing the Trim Transformer, its multi-linear attention design, and benchmark claims on physics workloads such as Navier-Stokes.