We work with
innovative companies
in many industries.
-
Industries
We work across any industry, and cross-pollinate best practices between them.
- Materials
- Consumer Goods
- Automotive
- Finance
- Health Care
- Pharmaceuticals
- Industrial Goods
- Services
- Telecom
- Technology
- Utilities
-
Departments
Data science works best when it permeates an organization. We've worked across several departments to solve problems.
- R&D;
- Marketing
- Human Resources
- Information Technology
- Operations
- Finance
- Product Development
- Business Development
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Data
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
- APIs
- NoSQL databases
- Web crawls
- Sensor data
- Time series
- Social network
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Techniques
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
- Crowdsourcing
- Cloud Computing Environments
- Sentiment Analysis
- Clustering
- Classification
- Regression
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Tools
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.
- Python
- Javascript
- Hadoop
- d3
- Julia
- Spark
- Elasticsearch
- SQL
- NoSQL
- R
- AWS
- Cloud Computing
Case studies
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.