ML That Outperforms

Research-grade optimizers, adaptive models, and efficient architectures

We build machine learning tools that beat standard baselines. Drop-in PyPI packages. Measurable improvements. No hype.

-44.6%
PINN Loss
LAdam vs Adam
+5.13%
Accuracy Gain
ChiAdapt on TinyLlama 1.1B
5.8x
Better Perplexity
WaveTransformer O(n)
-37%
Forecast MSE
WaveForecaster vs LSTM

Why Work With Us

Measured, Not Claimed

Every product page shows exact numbers: mean ± std across multiple seeds, paired t-tests, public benchmark code. If it's not statistically significant, we don't ship it.

Drop-In Integration

Our optimizers are pip-installable. One import line, zero architecture changes. ChiAdapt adds 2.8 KB of state per user — no retraining, no GPU for adaptation.

Research Depth

80+ internal experiments, 59+ validated benchmarks, 6 optimizer variants, GPU-accelerated simulations. We go deep before we ship.

Consulting & Custom Work

Need something tailored? We build custom ML pipelines, optimize training loops, and integrate our tools into your stack. Enterprise licensing available.

Ready to improve your ML pipeline?

Whether you need a drop-in optimizer, runtime personalization, or a custom ML solution — we can help.

Our ML tools are grounded in physics-inspired research published on OSF and Zenodo.