We build web applications around standardized analytics of observational and epidemiological research, such as incidence and prevalence of disease, detection of off-label indication, natural history of disease and disease progression, co-morbidities and co-medications, profiling of providers and payers, cost of treatment, or any other related Real World Evidence you might need to generate from your data. Our applications are highly interactive, allowing you to modify parameters such as persistence windows, drug combinations and regimens, units of time, etc., as well as interacting with the underlying data to drill down and understand the basis underlying a piece of evidence.
- We create software using the Scrum methodology, allowing for highly focussed and optimized teams operating at maximum velocity.
- We welcome change requests without "nickeling and diming" our clients, and we value clients who give feedback continuously throughout the project.
- Our mix of on-shore and off-shore software engineers ensures development with a high level of quality.
- Our software implements best practices for Big Data. It is optimized for performance and scaling to billions of records and terabytes of data.