December 3, 2024
Bring your lab, informatics, and ML teams together on one platform.
Sphinx helps you centralize and standardize data across wet and dry lab experiments into a single source of truth.
Trusted by scientists at
Speed up data analysis and decision-making across your lab and ML teams.
Lab Scientists
Tired of manually enriching data and writing code?
Manually parsing data, adding contex, and writing code for analysis is frustrating.
Automate data ingestion. Expedite scientific breakthroughs.
- Upload data in any format, directly from your lab machines, LIMS, or object stores.
- Verify metadata and add tags for improved searchability.
- Use pre-built transformations and visualizations to make analysis and interpretation easier.
- Merge datasets or compare them side-by-side on the same platform.
Data Science/ML Teams
Don’t waste days chasing the data you need.
Scattered data and lack of context around datasets make machine learning error-prone.
Prevent bad data from throwing off your ML models.
- Break down data silos. Access experimental data with relevant attributes and lineage in one place.
- Train better models with more reliable data. Refer to scientist annotations for outliers, technical artifacts, or experimental errors to create robust training data.
- Focus on data science, not on building or maintaining web apps.
Software/Informatics Teams
Replace ad hoc analysis tools with our powerful APIs.
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.
- Define schemas in code.
- Get easily reproducible analyses with clear data lineage.
- Build a centralized data catalog that everyone in the lab can use to share and find data.
Turn your raw data to useful insights in minutes.
01
Get started with analysis-ready datasets
Eliminate tedious data entry and formatting tasks through AI-powered raw data ingestion.
02
Run statistical tests that transform your data effortlessly
Leverage pre-built bio-specific statistical transformations without writing a single line of code.
03
Create publication-ready visualizations
Turn your data into stunning, easy-to-understand visualizations at any stage.
04
Enable scientist annotations
Add relevant context to your data and analyses, track lineage, and help all your teams make better use of experimental data.
Built to function effortlessly within your existing setup.
Use Sphinx alongside your LIMS, databases, and object storage for a unified data analysis experience.
Why do modern biotechs love Sphinx for data management and analysis?
Scientists love the AI-driven data entry and analysis
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.
Informatics teams love the powerful APIs and code-first approach
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.
ML teams love the detailed data lineage
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.
Sphinx is the #1 tool for Software-Defined Biology.
Sphinx’s platform has been a game-changer for us. Our scientists are able to go from results to decisions within minutes, accelerating our experimental timelines.
Bettie Osuna
Head of Platform at Tacit Therapeutics
Sphinx has been an important part of integrating our wet lab and computational teams. Their platform has streamlined our workflows, eliminated bottlenecks and improved productivity for both scientists and data teams.
Erle Holgersen
Lead Data Scientist at Deep Genomics
