In recognition of the crucial importance and transformative potential of AI/ML applications within the life sciences, MetaCell is fully equipped to undertake end-to-end projects to assist your team.
AI cannot deliver results unless a proper data architecture is in place. We'll help you introduce a multi-pronged approach to create a data infrastructure that can run internal and external data sets.
MetaCell assists your organization in assessing the availability of sufficient data for implementing complex AI projects, and provides guidance on integrating them seamlessly with existing analytical models.
We can support your organization's digital transformation beyond the technical aspects of AI/ML, and help you promote adoption and impact for effective change management.
Prioritize only the use cases and applications that make sense for your research and business goals. We'll help you create a strategic roadmap to optimize the overall impact and the time to impact.
In the initial consultation phase, you share the data sets that need to be worked on – or very similar sample data.
We work on a fixed capacity basis, showing you the results every one or two weeks.
We define the deliverables together at the beginning of the project. Often the scripts written to process data are a core deliverable.
Also a report of our findings is a typical deliverable.
Powerful machine learning platforms are now available on the cloud for creating models of real-world data. Taking advantage of these platforms requires technical expertise beyond simple data science work, as well as relying on the right cloud infrastructure.
We have PhDs in machine learning and life science who will help you understand what you are trying to achieve with your data, and the output you are looking for.
Our cloud infrastructure engineers can help connect large data sets to machine learning platforms such as TensorFlow or PyTorch.
Together, we can assist you to close the loop with your data and machine learning modeling of your data, as well as presenting the results back to you in the most informative way.
We understand the requirements of your machine learning project and help to propose the most appropriate flavour of machine learning given your data domain.
We set up the appropriate machine learning platform and connect your data to this platform.
We can help you run the models themselves and engage you in ongoing data science work to extract the most value from your data.
Typically a final report of the outcomes, source code for the cloud environment we set up, and scripts that show the data science work that was required to set up the data and run the training steps.