Our AI-powered solutions create a measurable impact on executive decisions and operational planning in the industries of Retail, Pharma, Supply Chain, Logistics and Healthcare.
By using our Data Science methodology, we develop and validate customized analytic solutions using Lean methods with regular client touch points. Making the results accessible to business decision-makers is vital for adoption. This process provides sustained benefits using advanced data applications that are customized and thoroughly tested to meet your needs.
The depth of our expertise and breadth of our experience in data science consulting is always growing. Here is a brief overview of our most requested analytics consulting services:
Prototype models demonstrate whether AI/ML techniques can answer an important business question. An AI/ML prototype is an efficient way for an organization to test hypotheses, prove data value, and generate momentum.
We combine business domain expertise with a deep understanding of advanced analytics to produce best-in-class solutions. ML and AI are uncertain practices in many fields. It is difficult to know beforehand which algorithms and variables can reveal any secrets a data set may be concealing. Our goal in every project is to deliver the analytic solution having the best performance when presented with new, unseen data in live use.
Model validation expertly assesses the quality and robustness of an existing model. We work as a trusted third-party advisor to validate a model’s performance (accuracy, reliability, thoroughness, speed, suitability) and determine not only if it meets the regulatory and compliance standards for your industry, but also detail any weak points or vulnerabilities, including subsets of cases it finds particularly challenging.
- Machine Learning
- Text mining & Natural Language Processing
- Predictive modelling
- Graph Analytic