Come join the revolution. 
Venture beyond Big Data and BI to truly optimize your business.

Austin Labs started with a vision to put together all the tools required to build and deploy complex data applications at an unprecedented pace and affordability. We understand that BI of the past and Big Data of the current alone does not create value. That requires not just storing or querying big data but processing that data through layers of complex modeling and business logic. That requires not black boxes but interactive applications that combine human expertise with machine insights. We've put together a technology and a customer experience to make this vision possible.

 

applications

Use one of our growing suite of data-ready applications in the cloud. Plug in your data and applications will optimize your business according to your specifications.

SciCloud platform

This technology, which unifies all our applications and services empowers data analysts to produce applications and not just numbers. In future, use this DIY platform to extend or build applications.

Lima01.jpg

services

For your specialized needs, we will build and host custom data-driven applications for you. Our platform cuts short the development time so that we can focus on delivering value and not code.

 

Case Studies

Meaningful comparison of internal and external options on supply and demand

The goal of the project was to determine the most profitable retail prices, the correct mix of internal and external sourcing, internal and third-party production facilities and internal sales and external clearance. The company generates millions of additional dollars every year by optimizing their purchase and pricing decision.

 

Classifying EMR patient data to reduce costs.

In principle, electronic medical records contain a wealth of information about patients - personal information, medical history and care pathways. However, to derive clear clinical inferences is hard. We helped the customer leverage their technology and combine with machine learning to classify patients in clinical and quality dimensions and ultimately reduce costs of care.


Data-driven continuous product improvement

A mobile device manufacturer, wanting to improve customer satisfaction, found traditional methods like surveys unsuitable for their business. We used detailed device usage big-data to identify top drivers of customer dissatisfaction.