QUICK FACTS

HEAD OFFICE

4400 Bohannon Drive
Suite #200
Menlo Park, CA CA 94025
United States

LANGUAGES OFFERED

English

category

CATEGORIES

Big Data, Analytics, Big Data Analytics, Data visualization

INDUSTRIES

Consumer goods, Education and research, Energy, Financial Services, Healthcare, Public sector and governments, Social media / marketing

SIZE OF CUSTOMERS

Medium

 
Founders:
 
Year founded:2008
Funding received: $51.3 Million
Investors:
 
#Employees:86 employees
Awards won:Multiple awards
 

Overview

Ayasdi was launched in 2008 but is based on 10 years of research at DARPA, Stanford and NSF. From 2000 to 2008 one of the founders, dr. Gunnar Carlsson worked on research projects that were funded by DARPA and the National Science Foundation with $ 10 million. In 2008, dr. Carlsson and the two other co-founders, Gurjeet Singh and Harlan Sexton, decided to commercialize the research and they founded Ayasdi.

Eventually, it took them two years to build a prototype of the product. Ayasdi uses a new technique, previously not yet seen at other big data startups. This technique is called topological data analysis. In short, this type of analysis focuses on the shape of complex data and is able to identify clusters and any statistical significance that is present. Data scientist can use this to reveal inherent patterns in those clusters. The dozens of algorithms use algebraic topology to analyse the topological spaces and allow for automated discovery of insights instead of having to enter a search query. Ayasdi claims to “answer the questions you never even thought to ask” by visualizing the correlations in all data.

Anthony J. Tether, former director of DARPA, expects that topological data analysis is going to have a huge impact. The software has the potential to deliver completely new and fresh insights on existing databases such as huge social networking datasets or genetics and healthcare data sets. The software is cloud-based and Ayasdi and the visualizations show colourful, 3D pictures on the screen that

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