data visualization in the cloud

About PixlCloud

We are building a cloud-based visualization service for you. You will be able to easily connect PixlCloud's SaaS to your data to visually explore it from within your Web browser. The platform assists you with discovering what is hidden in your data. It allows you to look at and understand even unfamiliar data to identify anomalies, mis-configurations, outliers, trends, and relationships.

Management Team

Raffael Marty

Raffael MartyFounder

Raffael Marty is the founder of PixlCloud. His research interests span anything related to IT data visualization. He has held various positions in the log management space at companies like Splunk, ArcSight, and IBM research where he also earned his masters in computer science. His book, Applied Security Visualization, and the SecViz portal are the primary resources for information related to security visualization. The Data Analysis and Visualization Linux (DAVIX), as well as AfterGlow are two of his past projects that have helped form the security visualization space.

Contact

PixlCloud
1011 23rd Street #20
San Francisco, CA 94107
USA

Email: info@pixlcloud.com
Blog: SecViz
Twitter: pixlcloud

The Book

Applied Security Visualization

The Services

Consulting Services
(c) 2009 PixlCloud LLC, San Francisco, USA
Data Collection Architecture: Defining an infrastructure that supports a customer's data analysis use-cases. Data routing, altering, aggregation, and data source configurations are part of the engagement. Data Analysis Processes: Data analysis tasks need to be repeated periodically. We architect those processes to turn data into tangible actions. Data Analysis and Visualization: Analysis of customer provided data sets and producing visual representations. Forensic Investigation: We assist in a forensic investigation to document the path of abuse and the data flows. Dashboard Development: Implementation of a custom dashboard for customer defined metrics. Data Visualization Development: This service covers custom tools based on dynamic queries and linked views, as well as real-time dashboards. Compliance: We define a data collection architecture and analysis processes for applicable regulations and mandates. Visualization is used as a key component to making all of the data accessible and actionable.