DataFox SF Team

About Us

On October 31, 2018, Oracle completed the acquisition of DataFox.

DataFox continuously extracts detailed data on more than 2.8 million public and private businesses while adding 1.2 million businesses annually. Customers like Goldman Sachs, Bain & Company and Twilio utilize DataFox’s insightful data to prioritize accounts, enrich leads, refresh and harmonize CRM data and identify new prospects.

The combination of Oracle and DataFox will enhance Oracle Cloud Applications with an extensive set of trusted company-level data and signals, enabling customers to reach even better decisions and business outcomes.

Learn more about Oracle and DataFox

Our Story

Before DataFox, we had jobs in which doing manual data grunt work was a prerequisite for accomplishing our real jobs. We decided to use data science and software to solve this problem.

Our mission is to eliminate grunt work for business professionals.

We started with investors and sales teams who needed company intelligence in their CRM. To help them, we built a database of the world’s most relevant companies, using ML and NLP to capture insights on those companies and infuse that intelligence into our customer workflows. This helps them skip the grunt work and jump straight into strategic decision making.

Oracle Board of Directors

Oracle CTO Larry Ellison

Oracle CTO Larry Ellison

Oracle CEO Mark Hurd

Oracle CEO Mark Hurd

Oracle CEO Safra A. Catz

Oracle CEO Safra A. Catz

Jeffrey S. Berg

Chairman of Northside Services, LLC

Dr. Michael J. Boskin

Professor of Economics and Hoover Institution Senior Fellow at Stanford University

Bruce R. Chizen

Senior Adviser to Permira Advisers and Independent Consultant

George H. Conrades

Chairman of Akamai Technologies, Inc.

Hector Garcia-Molina

Professor of Computer Science/Electrical Engineering at Stanford University

Renée J. James

Operating Executive at The Carlyle Group

Leon Panetta

Former Director of the Central Intelligence Agency and Former US Secretary of Defense

Naomi O. Seligman

Senior Partner at Ostriker von Simson

Our San Francisco Team

DataFox is a team of people who value #ConstantLearning. Hover to learn about a memorable learning from each person’s past studies and work experience, as well as favorite thing about the team at DataFox.

Bastiaan Janmaat

Bastiaan

School: Discounted Cash Flows and Option Pricing Models at Stanford.

Work: modeling private company growth at Goldman Sachs.

Favorite thing: feel fortunate to work with such a committed, tight-knit team.

Alden Timme

Alden

School: the expressiveness and complexity of Bayesian modeling

Work: bridging the gaps from static data modeling to a living production system

Favorite thing: learning from the brilliance of each and every one of us

Ben Trombley

Ben

School: How to write clearly, whether in ML code or religious studies essays.

Work: Scaling backend sytems and engineering teams to support tens of millions of users at Box.

Favorite thing: Building a great team and watching them thrive

Mike Dorsey

Mike

School: Object-orientation, encapsulation, and inheritance at Stanford

Work: Cross-platform information pipelines

Favorite thing: We live our values

Aaron Verstraete

Aaron

School: For me, calculus is easy compared to statistics, which are really hard

Work: Mapping 300,000 corporate purchases to spend categories

Favorite thing: The blend of professionalism and fun that people bring to the office

Ben Brockland

Ben

School: Startup valuation modeling through an entrepreneurship program

Work: Learning how sales organizations scale at Salesforce

Favorite thing: The team expects a lot from each other but in turn will do anything to help

Jon Rabinovitz

Jon

School: Primary research for competitive intelligence projects

Work: Manually building the training data for Machine Learning models

Favorite thing: Managing more than 250,000 hours of remote team member time

Sean Moroney

Sean

School: Law and economics course on price and incentive theory at Duke

Work: Litigation valuations and fraud investigations at PwC

Favorite thing: Seeing our team grow with professional go-getters

Andy Kiang

Andy

School: Data establishes shared understanding of reality (political economics at Stanford)

Work: Finding best tweets from different perspectives for trending events, Twitter

Favorite thing: dedicated and talented, yet ego-free

Brooks Howard

Brooks

School: Number theory

Work: Modeling clients' portfolios based on risk appetite

Favorite thing: Most social group of highly intelligent people around

Chris Walker

Chris

School: Agent-based modeling in economics

Work: Using financial transactions data to visualize money-laundering networks

Favorite thing: It's easy to ask anyone for help

Elena Tatarchenko

Elena

School: Building an OS from scratch at MIT.

Work: Finding and fixing performance bottlenecks and organizing data at scale

Favorite thing: We take pride in our output and support each other

Sam Paras

Sam

School: Programming a Pac-Man in Cal's Intro to AI class

Work: Creating Box's first A/B testing framework still used today

Favorite thing: Learning something from one of my coworkers every single day!

Stefan Castelán

Stefan

School: Dashboard to visualize and interact with contractor data from the Department of Defense

Work: Custom automated rules in AdWords that optimize CPC bidding

Favorite thing: Scrappy, efficient, and ambitious in our projects

Alex Brunbauer

Alex

School: The difficulty and subsequent satisfaction of learning R in Statistics II at Fordham

Work: Helping to create a global price book while working in the Images department at Associated Press

Favorite thing: Everyone's selfless pursuit of building an amazing customer-centric business

Alex Marquez-Shaw

Alex

School: Understanding environmental issues (and proposing solutions) through data and science

Work: Evaluating pipeline data to optimize our recruiting funnel - never ending project!

Favorite thing: Our incredibly authentic team

Amanda Owsley

Amanda

School: Statistics!

Work: Buyer persona definition

Favorite thing: Everyone watches out for each other and has everyone's best interest at heart!

Amelia Burke

Amelia

School: The intersection of ethical theory and technological innovation at UCBerkeley

Work: Modeling executive equity ownership and stock options at J.P. Morgan

Favorite thing: As an ex college athlete, the teamwork and collaborative focus

Aurielle Perlmann

Aurielle

School: Probabilistic record linkage algorithms and rule-based matching

Work: Building internal tools to to match, extract and transform data at scale

Favorite thing: The freedom to get wildly creative in exploring new ways to solve problems

Beth Presser

Beth

School: Dark matter, pulsars, and magnetars in physics seminar on the cosmos at Stanford

Work: Built a model to optimize commuter shuttle routes

Favorite thing: The people

Brandon Barrette

Brandon

School: Knot theory and its applications in graduate school

Work: Teaching sabermetrics to high school students

Favorite thing: We challenge and support each other every day

Brian Belli

Brian

School: Studying data in journalism (and sabermetrics) while pitching college ball

Work: Building a dynamic pricing model at DataFox

Favorite thing: Camraderie between engineering and sales

Caitlin Sullivan

Caitlin

School: International Politics: Methods of Analysis

Work: Gathering customer feedback to influence product roadmap

Favorite thing: We're small, scrappy and we have each others backs!

Cheyenne Wynn

Cheyenne

School: Communication studies where I learned how to communicate based on my audience

Work: The role types identification project where we took a deep dive on what various roles care about.

Favorite thing: The saturation of intelligence and willingness to help

Chris Kelly

Chris

School: Apply statistical regression models to predict fantasy basketball performance

Work: Calculating potential customer fit with standard deviation analysis

Favorite thing: A team that imposes high standards of work quality to create energy rather than consume it

Cooper Hollingsworth

Cooper

School: calculating phase delay for course on Sound Engineer

Work: Collaborating with Data Scientist at Triax to establish construction worker 'risk probability' score

Favorite thing: Natural collaboration to make everyone better then they were yesterday

Dave Bosson

Dave

School: Data extraction using SQL in Data Analytics for Business

Work: Created scripts to turn CSV fields into custom search terms

Favorite thing: How our company values get actualized

David Newcomb

David

School: Disaggregating signals with Hidden Markov Models

Work: Training our company news classifier to extract signals

Favorite thing: The team's empathy and willingness to teach each other

Delaney Brown

Delaney

School: Empirical Analysis and Quantitative Methods at UC Berkeley

Work: Built a data-driven conference strategy based on target account density at DataFox

Favorite thing: Our ability to aggressively pursue seemingly impossible deadlines as a cohesive unit

Eric Martin

Eric

School: Aeronautical Engineering

Work: Growth Segment Analysis

Favorite thing: The Team Itself

Hunter Fox

Hunter

School: I loved art class as I love visualization and cryptography class because it was challenging

Work: Coding our Insights tab, showing users visuals stats for their searches/data!

Favorite thing: kind, understanding, supportive teammates

Justin McConchie

Justin

School: Building long term valuations for investments, mergers, & acquisitions

Work: Running endless manual data cleanse projects for a financial services firm

Favorite thing: The general hunger to create something new; everyone is a builder

Kevin O'Connell

Kevin

School: Studied painting, minored in art history, focusing on Venetian renaissance and African art

Work: Designed a crop insurance platform for farmers who leverage IoT data

Favorite thing: A great team of smart and nice people

Leah Metz

Leah

School: Probability distributions in statistics

Work: Mapping ADR contribution to revenue + associated activity using SFDC reporting

Favorite thing: The willingness to always help out and motivate each other

Lily Brown

Lily

School: Nonlinear speech and signal processing for speech pattern analysis at Marquette

Work: Seamless integration of Salesforce in the DataFox application

Favorite thing: Collaboration and camaraderie amongst a great team of smart engineers

Logan Coffman

Logan

School: Business statistics helped put the power of stats into perspective

Work: Working with engineering to give feedback on account scoring

Favorite thing: The constant competitive energy on the sales floor

Nicole Murphy

Nicole

School: Language dynamics

Work: Optimizing keywords for search

Favorite thing: Incredible collaboration!

Nora Pantfoerder

Nora

School: Designing marketing strategy to create, deliver, and sustain customer value

Work: Aligning the content strategy with marketing automation tools

Favorite thing: The collaborative team dynamic that supports and upholds our values

Pat Moynihan

Pat

School: Market validation. Entrepreneurship 101:Boots on the ground. Boulder, Co

Work: Rethinking sales processes to cut down on time to close

Favorite thing: Hustle. You're never the first one in at 7am or the last one to leave at 8pm

Rob Hendricks

Rob

School: Physics

Work: Statistics and infographic designs

Favorite thing: We ship. Quickly.

Sophia Attaf

Sophia

School: Marketing research on the return rate and customer satisfaction in the cosmetic field

Work: Using big data analytics to grow Marketing ROI

Favorite thing: we are constantly being challenged & helping each other accomplish our goals.

Stacy Huang

Stacy

School: Linear programming in management science at WashU

Work: Building pivot table UI for analyzing aircraft data

Favorite thing: Impressive team members

Sylvia LePoivedin

Sylvia

School: Probability theory and linear regressions in statistics

Work: Led cross-object schema mapping and data migration to Salesforce, Pardot, and Outreach.

Favorite thing: Watching how the team lives up to our reputation

Teddy Coleman

Teddy

School: Conditional probability and data distributions in Statistics

Work: Equity holding optimization for iShares portfolios

Favorite thing: Every single person is willing and able to help each other out

Tyler Romaine

Tyler

School: Macroeconomics - It's interesting to understand how the world works

Work: Commodities & FX Desk at Bloomberg

Favorite thing: Leveraging data to scale and prioritize projects