MatrixDS is the data science operations center

Github meets AWS for Data Scientists. A cloud based ecosystem with scalable storage capacity, ability to develop in any tool and flexible deployment of infrastructure in 1 click. MatrixDS is designed from the ground up for the data science community. We are a place to execute and manage data projects at scale.

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The collaborative platform for creating production grade analytics at scale

All the best data science tools securely connected to your data
managed through an auto documenting and team based analytic experience.

Repeatable Projects

Your team never writes the same line of code twice. Never loose progress when a team member leaves. Projects are auto-documented and managed for easy forking or repeating.

Analytic Tools

R? Python? Julia? Use any of your favortie tools to build the solution your project requires. Don't worry the platform will automatically track your work.

Analytic Project Management

Whether making a complex A.I./Machine Learning model or simple visualization know how your team is progressing without additional reporting.

Connected Data

Connect to your own databases, import files directly, download web data or add a data store inside the platform. Connecting data has never been easier.

Curated Cloud Data

Get access to curated big data sets like social media, government reports, news or public API's through MI's market place.

Team Collaboration

Project team members can work in their favorite environment while being able to give and receive feedback on products.

The Team

Our core team brings over 40 years of operational experience
in data science, leadership and education

team-member

Isaac Faber

CEO & Co-founder
Data Scientist
MS in IE, University of Washington
Phd Student, Stanford MS&E

team-member

Alejandro Martinez

COO & Co-founder
Quantitative Analyst
MBA, Cornell
MS in OR, Cornell
Phd Student, Stanford MS&E

team-member

Doug Gibbons

CTO & Co-founder
Infrastructure Specialist
Brunel Engineering
15+ Years IT Leadership