Automatically Generate and Optimise Your ML Code
Generate high-performing ML model code by uploading your data. evoML will automatically optimise speed and memory usage to match your hardware configuration.
Cutting-edge solution
Generate and Optimise your ML Code
Boost Performance with Fast and Robust ML
With evoML, data scientists and developers can build efficient ML models that execute fast without compromising accuracy. Faster ML enhances user experience and reduces costs.
Custom Optimisation Metrics
Effortlessly navigate complex trade-offs by tailoring metrics, including accuracy, speed, and carbon emissions.
Targeted Hardware Acceleration
Optimise model speed and memory usage for your target hardware while decreasing deployment costs.
Accelerate Time to Production with Confidence
evoML streamlines the end-to-end data science workflow for both predictive models and LLMs, accelerating time to production to a matter of days. The fully transparent workflow ensures confident decision-making.
- Effortlessly construct, optimize, and evaluate models using automation and the power of GenAI-driven capabilities.
- Maintain complete control over your data and model code, ensuring privacy and security.
Focus on Innovation, Not Code Quality
evoML generates production-ready ML model code, empowering data scientists to focus on strategic innovations and engineers to rapidly deploy models into production at scale.
Visualise, explore and prepare your data
Connect to data sources, generate synthetic data, visualize your data, and prepare it for machine learning with ease.
Build and optimise models and LLMs
Select from a diverse model library (LLMs, open-source, proprietary) or utilize custom models. Access advanced tools and GenAI-driven feature recommendations.
Opimise your model for target hardware
Tailor performance metrics, compare models with detailed explanations, optimize runtime, reduce compute costs, and deploy seamlessly with flexible options.
Schedule a demo with our experienced team!
Our team will guide you through a demo of how you can boost application speed and cut computational costs.