Automatically Generate and
Optimise Your ML Code
Generate top-performing ML model code quickly and effortlessly by simply uploading your data. evoML will automatically optimize its speed and memory usage for your targeted hardware.
step 1
From Raw Data to ML data
Detect anomalies and remove unnecessary variables in your dataset.
Automatically transform and select the most suitable features for a given dataset.
Evolve optimal features through multiple generations, inspired by Darwin’s theory of biological evolution.
step 2
From ML Data to ML model
Create thousands of candidate model code in parallel. Automatically recommend the ones that better fit your business problem.
Fast tune millions of model code parameters for the best performance.
Improve model code performance and speed without sacrificing accuracy or explainability.
step 3
Production-ready ML Code
Automated code testing to ensure stability and reliability in production.
Evaluate your model code's throughput and latency in different scenarios (e.g. data volume, hardware).
Portable packaging that can be automatically deployed: as API, in the database, or as a local library.
Customise model code for your deployment criteria to better fit your business needs.
step 4
Optimise your data transformation
Identify the most expensive lines of code and automatically optimise them with more efficient code alternatives.
Optimise the speed of your autoencoders or transformers by automatically converting them to more efficient formats (such as Pytorch, ONNX, etc) for your hardware (such as GPU)
Continuous active learning from previous experiments to predict the most efficient data transformations. Use AI to optimise your AI.
step 5
Optimise your Model Training and Prediction Time
Identify the most expensive lines of code that affect the speed of a model code during training and prediction.
Optimise the prediction speed of your model code by leveraging more efficient runtimes (such as Pytorch, ONNX, etc) for your hardware (such as GPU).
Leverage the distributed architecture of evoML to optimise speed by parallelising the most performant critical components.
ML model code?
Inspired by Darwin’s theory of evolution, we use evolutionary algorithms, meta-learning and search-based software engineering, to provide the best version of model code for lower latency and higher throughput as well as less memory and energy usage.
Our team will guide you through a demo of how you can achieve optimal model code and accelerate implementation with evoML.
Why TurinTech?
Cutting-edge Research Built into Product
TurinTech is a research-driven company, with over 10 years of experience in the code optimisation area, and backed by leading investors.
Trusting Partners from Day One
Our expert researchers, data scientists, and software engineers will work closely with your team, building the roadmap to AI success for your business.
Future-proof your Business
We are future-oriented, constantly developing technology for today and tomorrow. Working with us helps you future-proof your business.
Tailored Solutions for your Business
We understand that each business has unique needs and goals. That’s why our team will work closely with you to develop personalized solutions that meet your business needs.