“THERE WILL BE NO SCIENCE

WITHOUT GOOD DATA!”

Metrolink is a Data Operations platform that disrupts the way organizations get value from their own data, while maximizing the efficiency of human resources and dramatically reducing expenses for ongoing third-party services and system development.

The Problem

More Data - Less Value

Data

Rapid rise in the ability to collect data, more unstructured data, high potential from multi data-source processing

Data Plumbing

Data plumbing infrastructure hasn’t been matched with the ability to support, filter and manage the data

Expenses

Over $10 million a year on personals dealing with data wrangling, more solution oriented projects with poor results

Efficiency

80% of the data scientist time is spent on data preparation

From our experience as Engineers and Analyst, we are troubled by the striking dissonance of how “creaky” Data Handling is, in comparison to the progress and maturity of Data Applications (AI, ML, DL) and how limiting this situation is for end-to-end efficiency and the domain prosperity.

The Solution

Efficiency and Data Quality

As a unified DataOps platform Metrolink allows organizations to dynamically build, adjust and deploy data pipelines according to their business requirements, using all of their data sources, while leveraging the analyst and data privacy.

Maximizing Data Potential

divers data containers for data handling and enriching

Maximizing the Analyst and Data Scientist efficiency

Intuitive data pipeline design –
“Draw & Deploy”, No-Code,
Highly adaptive

Maximizing time to Value​

Automated DevOps
Implementation

Platform

dealing with any
Data for any Vertical,
keeps aligning with
technology

Robust

Keep the same
high-performance
standards even in
complicated real
world data

Works anywhere

Any Cloud / on-prem environment

Independent

Self Served platform,
No 3rd party services,
keeps your data private

Metrolink is all about giving back the power to the organizations for them to
independently access and use more data, intuitively, in accordance to their
changing needs and as a path to AI.