Sphinx is joining Benchling
Sphinx is joining Benchling to build AI tools and workflows to empower scientists.
Sphinx helps you centralize and standardize data across wet and dry lab experiments into a single source of truth.
Manually parsing data, adding contex, and writing code for analysis is frustrating.
Automate data ingestion. Expedite scientific breakthroughs.
Scattered data and lack of context around datasets make machine learning error-prone.
Prevent bad data from throwing off your ML models.
Data science slows down when you’re trying to keep up with increasingly complex datasets and building on-the-go tooling.
Expand your informatics team’s bandwidth, not your headcount.
Eliminate tedious data entry and formatting tasks through AI-powered raw data ingestion.
Leverage pre-built bio-specific statistical transformations without writing a single line of code.
Turn your data into stunning, easy-to-understand visualizations at any stage.
Add relevant context to your data and analyses, track lineage, and help all your teams make better use of experimental data.
Use Sphinx alongside your LIMS, databases, and object storage for a unified data analysis experience.
We use machine learning to automatically understand your data structure. The platform is built to save you hours of manual work on parsing and transforming millions of data points.
Our code-first approach enables you to work with any type of data and experimental design without relying on inflexible tooling or building your own.
Get data scattered across desktops and legacy systems into a centralized cloud-based catalog. Verify data, track lineage, and gather context for your models.
Sphinx helps your teams use all available data for better collaboration and stronger decision-making.