Engineering · Machine Learning · Data Science

Sophisticated computational tools for hard engineering problems.

Raphos is a London consultancy at the intersection of engineering, ML and quantitative methods. We apply technology, models and state-of-the-art algorithms to problems other people call intractable.

In the field

A look at what we build.

Capabilities

Providing engineers with tools that didn't exist yesterday.

We develop computational solutions and standalone software for engineering problems — combining classical numerical methods with modern machine learning.

01

Automated FE Analysis

Bespoke software to automate complex finite-element analysis and optimisation — custom plugins for the major FE and CAD tools.

02

Machine Learning & Data Science

Statistical and deep-learning models that turn raw data into actionable insight, decisions and design suggestions.

03

Signal Processing & Dynamics

Signals, sensors and structural dynamics — from correlated wind turbulence to months of accelerometer data.

04

Computational Geometry

Meshing, reparameterization and vector-field methods that make free-form geometry buildable and efficient.

05

Cloud & Native Development

Full-stack web and standalone C#/C++ applications — scalable frameworks, APIs and interactive 3D visualisation.

Full breakdown Explore every capability

How we work

Applying AI to real-world problems.

Deep learning and machine learning sit alongside more traditional strategies to gain new insight from data and solve problems more effectively. We don't chase hype — we build models that hold up under engineering constraints.

We are engineers and scientists with a wide background, drawing from computer science, structural engineering, machine and deep learning, signal processing, cloud development and finance.

Tell us about your problem

  • 2018 Founded in London
  • 660M+ Sensor data points analysed
  • IASS · AAG Peer-reviewed research

Have a problem worth solving?

We love unconventional challenges. Let's talk.

Get in touch