Turn Data into Revenue with Advanced Analytics and AI.
You’re sitting on a gold mine of data – but to harness its potential, you must be able to extract actionable insights. CapeStart’s data science experts help get the most out of your data through advanced analytics and AI for improved decision making, better customer experiences, and lower churn.
Enable a data-driven culture and improve operational efficiency across the enterprise through advanced data science techniques facilitated by CapeStart’s seasoned, in-house team of data scientists and engineers.
We’ve successfully collaborated with hundreds of enterprise leaders – from Fortune 100 companies to cutting-edge startups – to deliver data pipelines and data visualizations, advanced and predictive analytics, machine learning (ML), natural language processing (NLP), and other data science solutions to drive exceptional value.
- Bring big data to life with self-serve analytics dashboards and rich visualizations using any BI tool your team requires
- Improve business forecasting using past data and statistical modeling
- Enable more intelligent decision-making with low latency and real-time data integration
- Empower business users with real-time insights and ad hoc reporting capabilities
- Build, train, and test custom or pre-built ML models to discover hidden insights, spot potential problems, and automate repetitive tasks
- Drive efficiencies with regression, instance-based, regularization, decision tree, Bayesian, artificial neural network, deep learning, and other ML algorithms
- Deploy operationalized ML models using MLOps tools and principles including chatbot, computer vision, and other ML applications
- Train your ML models with CapeStart’s deep reservoir of ML datasets
- Our teams of data scientists support you throughout the entire ML lifecycle: From identifying use cases based on business priorities, to POC development and model creation, testing, implementation, scaling, and measuring effectiveness
- Discover actionable insights and opportunities from mountains of text documents using NLP models
- Analyze large volumes of unstructured data such as documents and emails faster and more accurately
- Deploy NLP applications such as topic modeling, sentiment analysis, aspect mining, text summarization, named entity recognition, and text classification
- Augment NLP applications with natural language generation (NLG) and natural language understanding (NLU)
Customized or off-the-shelf Data Science Solutions
A Deep, Multifaceted Team
Support Throughout the Data Science Lifecycle
