Deep learning driven chemical reaction prediction

Reaction prediction is the process of taking a set of known reagents and conditions and predicting what products will form. Your existing quantum calculations are expensive. Deep learning methods can alleviate computational expense and free up the time of trained computational chemists

Experimental Data

The experimental data are cleaned, sorted, and unified from different teams in the data warehouses for efficient decision making

Explore Data Signatures

The data signatures unravel the relationship between different input and output variables. The state-of-the-art algorithms could decipher the causal relationship for building predictive models.

Granularized DataMart

Each business goal requires a data subset from the universe of data. They are harbored in the Data Mart for reaching the goal.

Predictive Models

The base models are further hyper-tuned to accurately predict the possible product formation and its properties. This allows you to operate a virtual laboratory practice.

How we achieve?

We achieve this with an ecosystem of Machine Learning tools in tandem with our proprietary algorithms. All the IT implementations happens in your native environment. So, adoption of technology is a breeze for your team

How we achieve?

Our engagement?

We engage with our customers as anunconventional accelerator for innovation and digital transformation. DataTheta implements cognitive computing environment to achieve your business goal.

Our engagement?

We engage with our customers as anunconventional accelerator for innovation and digital transformation. DataTheta implements cognitive computing environment to achieve your business goal.

Hiring machine learning engineers who help you move your project forward can prove difficult given the high market demand for machine learning expertise.Our machine learning engineers fill this talent-gap by jumping in when you need them and partnering up with your team. We accelerate your machine learning project utilizing the right set of skills, so that you do not have to compromise on the speed of the project.

Our team of data scientists and machine learning engineers helps you capitalize on your existing resources by bringing your team up-to-speed on the latest in machine learning advancements, all tailored to your knowhow and specific needs.In hands-on sessions, we review practices and techniques in the fields of machine learning, deep learning, computer vision, and NLP, and show you how you can take advantage of them.

Creating prototypes is an essential part of scaling robust machine learning systems as they reveal issues and opportunities prior to implementation. DataThetas' research engineers test the functionality of innovative ideas by evaluating your data and building rapid prototypes, so you can eventually move forward with your innovation.