Competitive Analysis
Increase competitiveness by using knowledge graphs to understand your competition.
Pattern Recognition
Recognize patterns in your data and use those insights for better decision-making.
Risk Management
Use Knowledge Graphs and indirect relations to find patterns for fast and accurate financial alerts and warnings.
Process Automation
Automate numerous routine steps such as audits, validation checks, and scrutiny matches.
Decision-Making Assistance
Make decisions and process transactions faster, more efficiently, and with more confidence.
Anomaly Detection
Find patterns of interest in your data that can be signals of fraud, retail problems, security issues, and more.
Whether you want to build a Proof-of-Concept (POC) or solve a large organizational pain point using data, we can improve your decision-making using Machine Learning or Data Science.
Product Forecasting
We’ve done multiple forecast models for our diverse base of retail customers. Our models aren’t only tied to past sales data but incorporate contextual information relevant to explain the demand of each product.
Computer Vision
Extract insights from your photos or videos. Be able to identify and track new insights or automate manual processes.
No Data works without Data Engineering. As Data Scientists and Data Engineers, we understand how to manage and organize data to fit your business needs.
Cost Optimization
Optimize your cloud infrastructure to reduce your costs.
Computer Vision
Build data pipelines and aggregate data from different sources. Combine data with external datasets for new KPIs.
MLOps are a crucial part of any Data & AI development. Because most companies stay in the POC stage, we are experts in setting up state-of-art MLOps best practices and helping you leaving the never-ending POC loop.
Model Monitoring and Retraining
Investigate your model drift and retrain it based on triggers.
Pipeline Testing
Make sure that your deployed model receives exactly the same type of data structure that you used on the development phase.