Your partner on the AI journey
From data analysis and strategy to prototyping, implementation, and Model Ops
Where are you on the AI journey?
- We are curious about AI tools but need help exploring how they can create value in our organization. Inspiration would be nice.
- AI is on our agenda, and we have some ideas we want to try, but need analysis, advice, and a roadmap.
- We have a project in mind and the necessary data but need help choosing, developing, and implementing the right solution.
- We have AI/ML resources at a research level but need to take the next step toward production and ML Ops.
- AI is an important part of our business, and we currently use AI tools, but we need ongoing help from experts to keep up the pace.
Areas of Expertise
01. Data Science
Modern organizations are drowning in their data while striving to take the next step toward data-driven decision-making. We help you build and maintain systems that collect, store, and process data in a scalable way. We also help you analyze and transform your data into business-critical insights.
- Data Analysis
- Data Visualization
- Proof of Concept (POC)
- Platform Selection
- Data Platform
- Data Engineering
02. AI Consulting
As your expert partner, we support you in every step of your AI journey, from providing inspiration and strategic advice to building machine learning models and putting them into production in your ecosystem. We also develop backend systems that interact with the models and interfaces.
- Inspiration and workshops
- Consulting and strategy
- Feasibility study
- Model development
- Implementation
- Integration
03. Model Ops
We help you develop and maintain your models and your business logic. Based on the latest technology and tools, we support you in optimizing your models to ensure they continue performing over time.
- MLOps
- Processes and methodology
- API Design
- Competence in Cloud frameworks e.g. AWS, Azure, GCP
04. Intelligent Automation
To remain competitive, automation is required for your organization. We assist you in identifying repetitive processes that can be automated using AI and RPA to make time for more value-adding tasks.
- Discovery workshop
- Automation Strategy
- Hire smart robots
- Document Processing
Skill Set
- Natural Language Processing (NLP)
- Computer Vision
- Forecasting
- Business Intelligence
- Robotic Process Automation (RPA)
- MLOps
- System Development
- R
- Python
- Pandas
- Java, Scala
- TypeScript, React
- Rust
- GO
- Tableau
- Databricks
- PowerBI
- ClickView
- Locker Studio (Google)
- Docker
- Kubernetes
- Microsoft Azure
- Google Cloud Platform (GCP)
- Amazon Web Services
- Snowflake
- Apache Spark/PySpark
- Delta Lake
