We work with
in many industries.
We work across any industry, and cross-pollinate best practices between them.
- Consumer Goods
- Health Care
- Industrial Goods
Data science works best when it permeates an organization. We've worked across several departments to solve problems.
- Human Resources
- Information Technology
- Product Development
- Business Development
We have experience wrangling, cleaning, and making inferences from just about any kind of data you can imagine.
- Piles of spreadsheets
- Dirty data
- Log files
- Unstructured data
- SQL databases
- NoSQL databases
- Web crawls
- Sensor data
- Time series
- Social network
We are experts at developing custom solutions using modern data science techniques. We're comfortable working in domains where no tools exist.
- Natural Language Processing (NLP)
- Big Data
- Predictive Analytics
- Deep Learning
- Bayesian Statistics
- Supervised Learning
- Unsupervised Learning
- Time series analysis
- Cloud Computing Environments
- Sentiment Analysis
There isn't a single platform that suits every problem, so we use, create and contribute to a wide variety of open-source tools. We're not afraid to build new tools when none exist.
- Cloud Computing
Because our clients trust us to help develop strategies that give them a competitive advantage, we sometimes can't share our work publicly. If you're curious about a specific sector or area of expertise, please contact us to learn more.
Designing and Teaching a Data Science Bootcamp
Datascope’s data scientists designed an entire 12-week curriculum and taught the first three cohorts. PDF
Finding tomorrow's innovations from today's college students
Creating wonderfully realistic user stories for how HERE Life transforms raw data into insights PDF
Oracle: Predicting Solutions for Hardware Failure
Prototype engine capable of automatically resolving inbound services requests with an accuracy that rivals human classification PDF
P&G Mines Reports To Uncover Experts and Collaboration Patterns
How do you find and connect subject matter experts when they're spread across the globe? PDF
IssueLab Empowers Researchers Using NLP and Data Science
The Spärck API generates metadata, to enrich collective knowledge in the social sector. PDF
Motorola Mobility Follows the Data to Engineer Better Smartphones
A custom built tool aggregates and algorithmically analyzes smartphone customer feedback data from a broad spectrum of internet sources. PDF
Thomson Reuters: Visualizing collaborations on academic reports
From sketch to mock-up to prototype to enterprise-quality solution, we do it all.
Thomson Reuters: Product reimagination for visual analytics
Brainstorming with all stakeholders improves the likelihood of developing useful dashboards.
Daegis: designing a more cost-efficient process for litigation
Reducing costs by 70-90% is only valuable when the solution is legally defensible and trustworthy.
Measuring interdisciplinarity: A new tool for Northwestern University
An OrganicChart® designed for The Graduate School displays student curriculum over time.
Social network analytics enhance adoption of change
We identified a group of ambassadors who are optimally positioned in their organizational social network to spearhead a change movement.
Scialog Conference Assessment
We quantified how and why Scialog was effective to further improve future Scialog experiences.
OrganicChart™ of ISEN
We developed a tool to visualize the connectivity between 24 research centers with 400+ faculty in several different research areas.
LivingReport™ of collaboration at McCormick
We designed a LivingReport™ to visualize collaborations among faculty and departments in the McCormick School of Engineering.