Data Foundry is packaged software, modular by design and scalable across machine clusters. Its main function is to act as a processing platform that can connect multiple data sources through a pipeline of Data Processors that can be tailored to specific use cases. Information is extracted from unstructured data formats and turned into structured data before being stored in a knowledge graph. Data Foundry allows you to process and navigate disconnected data from across your organisation. It reads electronic documents (such as spreadsheets, Word documents, PDF, CSV, dynamic data streams and many others) from across your data stores and links them contextually. Machine Learning Processors currently available range from diagnostic, pharmaceutical, financial and organisational modules.

Transform your data into knowledge with Wallscope's powerful AI platform and visualisation tools.

Our AI-assisted labeling platform gives you to the tools to turn documents into data. Documents are automatically labeled, and you have the ability to adjust them and add your own. Annotate healthcare records, protocols, and papers more than 20x faster than manual labeling.

More than 80% of healthcare data is unstructured; it is either physical or in a digital format that requires manual labor to analyze, such as images or typed/handwritten notes. Healthcare runs on notes, scans, and PDFs. Because healthcare data is designed for manual labor, it cannot be easily searched, analyzed, or used to improve patients' quality of care or reduce cost of care. Manual labor does not scale, and the data is growing: 2 zettabytes of healthcare data are generated each year. Historically, the healthcare industry has invested in protocols for the structured data it has, digitizing analog data but leaving it unstructured, and brute-forcing the unstructured data problem through manual labor. These solutions have plateaued. We have to solve the unstructured data problem in healthcare. ScienceIO envisions a future where we enable all healthcare companies — across R&D, clinical trials, real world evidence, digital health, reimbursement, to care delivery — to learn from their data in real-time, so we can develop the next generation of healthcare solutions.