Webinar on Demand: Unlocking Biotech Data

Making scientific data analysis easy

Introducing Metis, the intelligent analytical assistant that expedites data analysis by generating analyses, visualizing data, and offering tailored recommendations. With powerful data extraction, analytical capabilities, and feature discovery, Metis allows you to create robust analyses faster and with greater confidence, all without outside assistance.

Towards a universal scientific data importer

This blog post introduces Metis, a simplified way to perform data import. Metis automatically parses and transforms various file formats into analysis-ready datasets, significantly reducing the time and expertise required for data preparation. The system offers transparency, allows for user intervention, and enables the creation of reusable templates for consistent, reproducible data imports.

AI Enabled Chart Creation

Scientists should spend more time doing science and less time fighting with their software. Sphinx streamlines data analysis for scientists by using AI to automate data transformations and visualizations based on user intent. This reduces time spent on non-scientific tasks, allowing scientists to dive deeper on important research questions rather than waste time fighting with their software. The tool also supports learning through real-time explanations and instructions.

(Semi) Structured Scientific Data

Every scientist can commiserate with the challenges of working with a messy file from an instrument, vendor, or coworker. We define the different types of structured data regions inside a file. We are excited to share more developments in this area featuring our new data import tool that lets scientists better extract complete Datasets from their files.

Software-Defined Biology is Here

Software-defined biology is transforming drug discovery by codifying experimentation and decision-making into software. We explore the shift, its implications, and the future of drug discovery as companies embrace code-first data models, structured data, and ML.

Can AI extract data from a messy spreadsheet?

Using LLMs to parse messy spreadsheets. Check out sheets.sphinxbio.com for a demo and contribute to our repo here: https://github.com/sphinxbio/sliceanddice

Introducing platechain, a universal plate parser

platechain (https://github.com/sphinxbio/platechain) is an open source Python package that can be used to parse all types of plate data from spreadsheets.

Folding Playground

Introducing the Folding Playground -- a way to compare different protein structure prediction models. Get started at https://app.sphinxbio.com/playground

Introducing Sphinx

Introducing Sphinx Bio. Our mission is simple: to empower scientists to make better decisions, faster.