Modern data solutions for problems that matter

We help mission-driven organizations harness their data in order to work smarter and offer better products and services.

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What we do

Holistic data assessment & planning

We conduct top to bottom inventories of data sources and systems to identify strengths, challenges, and opportunities — all with an eye to your core objectives.

Predictive modeling & statistical analysis

We use battle-tested mathematical analysis techniques to help you carry out your mission more effectively in a resource constrained environment. We know that overly complicated solutions can be hard to support, so we’ll find the most robust and maintainable approach to help you make better decisions.

Rapid development & prototyping

We have deep roots in software engineering. We build quickly and iteratively, working closely with your team to design modern web applications and streamlined data processing systems that can connect data sources, test new ideas, and quickly deliver solutions to the field.

Get in touch

Let us know how we can help your business or organization tackle your most pressing data challenges.

Our clients include

Peloton TechnologyIntellify LearningIDEO.orgMicrosoftThe Impact LabFair Trade USAVocaliDThe Foundation CenterFINCAEverTrueThe Boston FoundationAccion InternationalGlobal Off-Grid Lighting AssociationEducation Resource Strategies

Case Studies

Data science competitions

For the thorniest predictive modeling problems — particularly those involving social impact and where public awareness is an objective — we can take the problem solving global. Our crowdsourcing platform enables thousands of data scientists all over the world to compete in finding the very best mathematical models, often pushing solutions to the theoretical boundary between signal and noise. These models can then be operationalized for use on the front lines.

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Need to run a competition with your own style, branding, or on your own servers? Get in touch.

Meet the Team

Peter Bull

Data science and engineering

Peter holds a master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. He previously worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University where he met Greg.

Greg Lipstein

Business development

Greg holds an MBA from Harvard Business School. He has previous experience working as a management consultant at Bain & Company and in market development at green-tech startup Blu Homes. Greg served with Teach for America for two years, after graduating summa cum laude from Yale University in 2008.

Isaac Slavitt

Data science and engineering

Isaac holds a master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. He has a BS in Operations Research from the U.S. Coast Guard Academy, and spent seven years as a Coast Guard officer serving in a variety of operational and quantitative roles.

Charles Hornbaker

Data Scientist
Data science and engineering

Charles previously worked as a strategic technology analyst for the Department of Defense and served six years on active duty in the Marine Corps as an Intelligence Officer. He holds a master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences, and an MBA from Harvard Business School.

In the News


The Boston Globe

Stanford Social Innovation Review



The Washington Post

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