A scientific approach to data automation
Fathom offers a simple path for creating a flexible data pipeline that everyone in the company can use for queries.
Accelerate Digital Transformation
Our platform radically accelerates digital transformation for biopharma. In under a year, our customers can stand up a data system that ingests manufacturing data from many different sources and makes it available for anyone to search or create a custom query.
Traditional data pipelines are fragile and require specialized data teams to set up and query the system, limiting data access and the ability to answer new questions quickly. It can be difficult to integrate data from different systems. Incorporating new data sources or supporting new queries can require months of work while new schemas are mapped and database changes are implemented. And if a data source changes, everything can break.
With Fathom, anyone in the company can access both the raw data and associated analyses. They can also create their own validated datasets to download. New data can be added quickly and seamlessly allowing for broader data-driven decision making and insights across the organization.
How We Do It
Our work starts at the source. Using optical character recognition enhanced with AI trained for biopharma, we are able to digitize and normalize content that has historically been inaccessible because of its location or format. Our ability to convert data and maintain the underlying associations is what powers our very flexible querying tools.
Once the data is extracted, we contextualize it using several techniques including analyzing the document structure, understanding the meaning and relationships encoded within the language itself, and interpreting scientific-specific information such as units and equations.
At this point the data is ready for search-based queries across any subset of the available data sources. Our search approach allows for great flexibility as source data changes or is added, and is conversationally-based so users don’t need to learn traditional database query languages to access the system. The search queries output tabled results that can be easily analyzed and downloaded.