CEO
We have client experience with Deep Learning for image recognition, natural language processing, time-series analysis, and other use cases. We keep up with the latest research and tools in the field.
We also have extensive experience with Big Data distributed systems such as Spark and Hadoop, as well as most conventional data science and visualization tools.
We have client experience with factory automation ("which robot should do what when?"), process scheduling ("how to schedule complex inter-dependent jobs?"), and routing ("what paths should package carriers take?").
We have niche experience with Constraint Programming and Mixed Integer Programming, which are specialist techniques for solving traditionally intractable optimization problems.
We focus our business on production planning and sensor QA projects, and one of our competitive advantages is our combined experience writing enterprise-quality production code for companies including Palantir, Google, and Facebook. We are experts in many languages, and our code ships written through best practices and with unit tests.
We've built production systems on most cloud providers.