Regis Engineering

Engineering
the Unscaled

Particle Technology · Process Control · Applied Mathematics

We operate at the precise boundary between science and engineering — where deep physical intuition meets the discipline of making things work at scale.

SolidFlow ↓ Our Work
d50 = 180 μm · σ = 0.42
Span = (d90 − d10)/d50
∂C/∂t = D∇²C − u·∇C PSD: f(d) = (1/d·σ√2π) exp[−(ln d − μ)²/2σ²] Re = ρuL/μ Rumpf: σ_T = (1−ε)/ε · F_H/d_p² Bo = ρgd²/γ K-M: R∞ = 1 − (K/S)^½
Richard W. Hamming Bell Labs, 1986
"You and Your Research"
"In science, if you know what you are doing, you shouldn't be doing it.
In engineering, if you don't know what you are doing,
you should not be doing it."

Core Disciplines

01

Particle
Technology

Granulation, milling, classification, and formulation of complex solid systems. Particle size engineering with sub-micron precision, from bench through full industrial scale.

02

Process
Control & ML

Real-time process control using Physics-Informed Neural Networks and transformer architectures. Data-driven models that encode the underlying physics — not black boxes.

03

Scale-up
Engineering

Translating non-linear, complex chemical and physical processes from laboratory to full industrial production. Where the math and the metal must agree.

Flagship Product

SolidFlow

solidflow.it

SolidFlow is our invention. Conceived, engineered, and developed at Regis. The dry granular colorant system engineered for point-of-sale tinting of decorative paints and cementitious substrates. No liquid carriers. No biocides. No VOCs. Just pigment, precision-granulated, ready to meter. The tinting industry has operated on the same liquid-paste paradigm for decades. SolidFlow ends that.

Format
Dry granular
Biocides
Zero
VOC content
0 g/L
Dosing
Gravimetric
Substrates
Decorative · Cement
Technology
Proprietary
Explore SolidFlow

Particle Size Distribution — SolidFlow Carbon Black

d₅₀ = 180 μm 10 100 180 500 1000 Particle diameter (μm) Volume fraction q(d) Q(d)

The dry granular format enables point-of-sale tinting with no liquid base,
eliminating microbiological contamination risk and reducing formulation complexity.

AI Venture

EIGENGRAN Logo

Process intelligence
for solid-state
manufacturing.

Eigengran develops ML-powered process control solutions for granulation and particle engineering. Real-time predictive models trained on physical first principles — not empirical correlation alone. The eigenvalues of your process, learned.

PINN
Physics-Informed Neural Networks that embed governing equations directly into the loss function — no black-box approximation.
MPC
Model Predictive Control driven by rigorous PINN surrogates. Receding-horizon optimization with hard physical constraints enforced at every step.
PBM
Population Balance Models for real-time PSD evolution tracking through granulation, milling, and classification unit operations.
RT Control
Closed-loop real-time control architectures for continuous and batch solid-state processes — from lab-scale to full production.
eigengran-magnitude
PINN
Physics-Informed Neural Networks
MPC
Model Predictive Control — PINN-driven
PBM
Population Balance Models
RT
Real-time closed-loop control
Visit Eigengran

Get in Touch

Complex process.
Precise solution.

From formulation diagnostics to full-scale process design, Regis Engineering brings deep particle technology expertise to problems that resist conventional engineering approaches.


Products

solidflow.it eigengran.ai

Location

Italy

© 2026 Regis Engineering S.r.l. - IT12704880017 — All rights reserved. Engineering the Unscaled