AI-driven de novo drug design
Makya is the first user friendly SaaS platform for AI-driven de novo drug design focused on Multi-Parametric Optimization (MPO).
Auto machine learning technology
Generative design with Reinforcement learning
AI-driven synthetic accessibility scoring
Makya automatically proposes new molecules for your lead optimization project in a few hours!
In just a few clicks, access the power of AI through Makya’s user friendly interface:
Upload your project data
Define your target product profile
Review, assess and select the ideas designed by Makya's AI engine
Any concerns regarding the synthetic accessibility of the proposed compounds? Don’t worry!
Makya is connected to Spaya, our AI-driven synthetic planning technology.
All promising ideas proposed by Makya are scored by Spaya to make sure you will be able to easily synthesize your next target compound.
You are a tech lover and you prefer lines of codes rather than a fancy UI?
Makya can be operated in Python and can be easily interfaced within your existing in-house machine learning workflows. We call Makya’s Python UI “Kaya”.
And what about Makya’s infrastructure?
Makya is accessible as a SaaS platform running in Iktos’ private infrastructure, it can also easily be deployed in your virtual private cloud (AWS, Google cloud, Microsoft Azure) or on your premises.
Who’s behind Makya?
We are Iktos. A start-up company specializing in the development of proprietary artificial intelligence technologies and software for ligand-based and structure-based de novo drug design focusing on multi parametric optimization.
Our de novo design algorithm is based on deep generative models with reinforcement learning. It designs novel and easy to make compounds, optimized to meet a given multi-objective blueprint, with unprecedented speed, performance, and diversity.
This is how easy it is to use Makya
Interested in evaluating Makya?
If, like Merck, Pfizer, Alkermes, Lundbeck, to mention just a few, you are interested to run Makya (or Kaya) on your project data, or to see a live demo, please let us know.