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Who is Drawn to Scale?

Drawn to Scale is the coffee fueled dream of two engineers in Seattle, WA (although possibly moving to SF) and we're on a mission to change the way businesses think about data. Our product, the Drawn to Scale Platform, is what happens when two engineers get fed up with the tools they're using and decide it's time to build a new toolbox.

Bradford Stephens, Founder:

Bradford Stephens founded Drawn To Scale after varied and successful careers in political campaign management, finance, business consulting, software engineering, and occasionally music. He has a B.S. in Computer Science with a Political Science minor from the University of North Florida, where he focused on Graph Theory, Expert Systems, and Linux.

Bradford spent time at Microsoft, Attenex, and was most recently the Lead Engineer for Data Platforms at Visible Technologies. He has a passion for distributed computing and runs the popular blog Road to Failure (www.roadtofailure.com). By making massive-scale computing cheap and easy to use, he hopes to change the world for the better by empowering individuals to learn from immense amounts of information.

Nick Dimiduk, Founder:
Nick Dimiduk received his degree in computer science and engineering from The Ohio State University where he focused in programming language theory and artificial intelligence. It was AI which introduced to him the possibilities of big data. Following four successful years building analysis engines and leading engineering teams, he founded Drawn to Scale to bring the power of big data to the world. Nick is a lover of elegant solutions, soccer, motorcycles and baking, and was a key participant in the discovery of "startup pie".

Bill Baker, Advisor
Bill Baker has been kicking around the BI industry longer than the term “Business Intelligence”. His history runs the gamut from research at small software companies, to General Manager and Distinguished Engineer at Microsoft, to CTO of Visible Technologies, a cutting-edge Social Media BI and analytics company.

Bill graduated from M.I.T. in 1979. He then spent several years at Dynamics Associates, and Softbridge Microsystems, both Cambridge, MA. In the early 90’s he was Sr. VP of Product Development at IRI Software where he led the development of the Express multi-dimensional database. In 1995 Oracle purchased IRI Software.

Beginning in 1996, Bill spent twelve-plus years at Microsoft where he started the BI team within the SQL Server product unit. Bill and his team delivered releases of Analysis Services, Reporting Services, Integration Services and the SQL Server Management Studio. During his tenure at Microsoft, Bill was named a Distinguished Engineer.

More recently he was CTO at Visible Technologies, a Bellevue, WA company that produces software to measure and analyze brand perceptions and performance in social media.

Currently Bill is serving on several corporate boards, a few advisory boards and assisting several local software startups in the Seattle area.

Bradford Cross, Advisor
Bradford is co-founder and head of research for FlightCaster, where is responsible for the statistical learning and supporting architecture that power Flightcaster's predictive algorithms.

Bradford has been doing applied research since 2001. His interests are in Maths, Statistics, Computer Science, Learning Theory, Network Theory, Information Retrieval, Natural Language Processing, and engineering at scale.

Prior to Flightcaster, Bradford spent 2 years working on book search, scalable job scheduling, and social networking at Google and learning agile and lean development at ThoughtWorks.

Prior to ThoughtWorks/Google, Bradford began his research work in the hedge fund business, where he developed statistical trading strategies and the underlying software infrastructure. During this time he founded a few small trading partnerships and worked with O'Higgins Asset Management. In the process of building trading systems, he collaborated with SmartQuant on a project that was subsequently sold to QuantHouse and re-branded as their suite of research tools for algorithmic trading strategy development.