WHAT WE DO?
We specialise in applied artificial intelligence and data science
Machine Learning
We create tailor-made machine learning models for regression, classification and segmentation challenges across a variety of use cases and industries. Our engineers apply the latest research findings and innovative techniques to achieve the optimal model performance.
Deep Learning
We provide deep neural networks for computer vision, including image and video classification, object recognition and voice recognition that can significantly outperform traditional methods. Our engineers are using cloud infrastructure and GPUs to speed up the process of training the network.
Natural Language Processing
Natural Language Processing techniques can help with text analytics, classification and generation, especially with recent advancements in transfer learning. We build chatbots, organise huge text databases, extract keywords or assess the sentiments.
Reinforcement Learning
We develop reinforcement learning methods to teach algorithms on how to perform a given task in order to maximize the rewards, which is a highly effective approach when there is not a lot of training data. Reinforcement learning techniques proved useful in areas such as gaming or robotics.
Predictive and prescriptive
We build predictive and prescriptive analytics to help our clients better understand what is going to happen, for example through churn prediction or predictive maintenance. Our engineers combine multiple data sources to generate insights and predict future trends or events.
Exploratory Data Analysis
We use advanced analytics techniques to uncover hidden insights and generate actionable recommendations with exploratory data analysis. Our data scientists connect various data sources, generate hypotheses and validate them against data to make better decisions.
Interactive reports and dashboards
We leverage the latest tools and libraries for interactive reports and dashboards that help us and our clients understand the data and visualise it from different angles. The reports can provide real-time information on the business situation or highlight bottlenecks in the processes.
Data preprocessing and cleaning pipelines
We perform data audits and assessments followed by the design of data preprocessing and cleaning pipelines. This is a crucial part of every data engagement and it helps us ensure we use the right data for the given problem in the most effective way.
Unsupervised Learning
We prepare clustering algorithms to create customer segments to help understand the customer base or identify user behavior patterns. Our engineers also develop recommendation systems to personalise the content and anomaly detection solutions for fraud detection.
Robotic Process Automation
We implement robotic process automation tools that automatically handle most repetitive tasks such as text, document or email processing. Modern artificial intelligence solutions can augment and speed up labor-intensive tasks, which can significantly improve productivity.
AI Transformation
Our consultants help design and implement the AI transformation lifting our clients’ analytics maturity from descriptive statistics illustrating the past to predictive and prescriptive analytics outlining the future and introducing them into the AI-first world.
AI Strategy
We create a holistic artificial intelligence strategy starting with the use case prioritisation matrix and assessing the possible impact and feasibility of each idea. This way, we ensure our clients can reap the rewards from AI and data science quickly and effectively.
Technology and algorithms roadmap
An indispensable element of artificial intelligence strategy is a technology and algorithms roadmap. Our AI, data science and cloud experts have broad experience with analytics and cloud providers and can help select the most cost-effective solution.
Research&Development
Our AI experts with academic experience can help you with your R&D challenges with research, experimentation and evaluation of novel algorithms and techniques. Leveraging our MLOps expertise, we focus on quick hypothesis testing and iteration.
Data-Driven Products
To create data-driven products and make informed decisions, our consultants help design data infrastructure and our engineers implement data pipelines and Extract, Transform, Load (ETL) processes for data warehouses and applications.
Big Data
Given our IT experience, we build efficient big data solutions and real-time data stream processing engines responding to data workloads and clients’ needs. We have experience with Big Data sets from industries such as geospatial, automotive or IoT.
Machine Learning Operations (MLOps)
We can help you automate and manage the model development lifecycle with machine learning operations (MLOps) solutions and best practices. We bring our software delivery and DevOps experience to the machine learning field to better manage production deployments.
Production-Ready
We combine AI and software development expertise to develop production-ready products. Our focus is on impact of the final solution and we do not stop on the PoC phase. We look for the most cost-effective models balancing the performance and complexity of the solution.
Machine Learning
We create tailor-made machine learning models for regression, classification and segmentation challenges across a variety of use cases and industries. Our engineers apply the latest research findings and innovative techniques to achieve the optimal model performance.
Deep Learning
We provide deep neural networks for computer vision, including image and video classification, object recognition and voice recognition that can significantly outperform traditional methods. Our engineers are using cloud infrastructure and GPUs to speed up the process of training the network.
Natural Language Processing
Natural Language Processing techniques can help with text analytics, classification and generation, especially with recent advancements in transfer learning. We build chatbots, organise huge text databases, extract keywords or assess the sentiments.
Reinforcement Learning
We develop reinforcement learning methods to teach algorithms on how to perform a given task in order to maximize the rewards, which is a highly effective approach when there is not a lot of training data. Reinforcement learning techniques proved useful in areas such as gaming or robotics.
Predictive and prescriptive
We build predictive and prescriptive analytics to help our clients better understand what is going to happen, for example through churn prediction or predictive maintenance. Our engineers combine multiple data sources to generate insights and predict future trends or events.
Exploratory Data Analysis
We use advanced analytics techniques to uncover hidden insights and generate actionable recommendations with exploratory data analysis. Our data scientists connect various data sources, generate hypotheses and validate them against data to make better decisions.
Interactive reports and dashboards
We leverage the latest tools and libraries for interactive reports and dashboards that help us and our clients understand the data and visualise it from different angles. The reports can provide real-time information on the business situation or highlight bottlenecks in the processes.
Data preprocessing and cleaning pipelines
We perform data audits and assessments followed by the design of data preprocessing and cleaning pipelines. This is a crucial part of every data engagement and it helps us ensure we use the right data for the given problem in the most effective way.
Unsupervised Learning
We prepare clustering algorithms to create customer segments to help understand the customer base or identify user behavior patterns. Our engineers also develop recommendation systems to personalise the content and anomaly detection solutions for fraud detection.
Robotic Process Automation
We implement robotic process automation tools that automatically handle most repetitive tasks such as text, document or email processing. Modern artificial intelligence solutions can augment and speed up labor-intensive tasks, which can significantly improve productivity.
AI Transformation
Our consultants help design and implement the AI transformation lifting our clients’ analytics maturity from descriptive statistics illustrating the past to predictive and prescriptive analytics outlining the future and introducing them into the AI-first world.
AI Strategy
We create a holistic artificial intelligence strategy starting with the use case prioritisation matrix and assessing the possible impact and feasibility of each idea. This way, we ensure our clients can reap the rewards from AI and data science quickly and effectively.
Technology and algorithms roadmap
An indispensable element of artificial intelligence strategy is a technology and algorithms roadmap. Our AI, data science and cloud experts have broad experience with analytics and cloud providers and can help select the most cost-effective solution.
Research&Development
Our AI experts with academic experience can help you with your R&D challenges with research, experimentation and evaluation of novel algorithms and techniques. Leveraging our MLOps expertise, we focus on quick hypothesis testing and iteration.
Data-Driven Products
To create data-driven products and make informed decisions, our consultants help design data infrastructure and our engineers implement data pipelines and Extract, Transform, Load (ETL) processes for data warehouses and applications.
Big Data
Given our IT experience, we build efficient big data solutions and real-time data stream processing engines responding to data workloads and clients’ needs. We have experience with Big Data sets from industries such as geospatial, automotive or IoT.
Machine Learning Operations (MLOps)
We can help you automate and manage the model development lifecycle with machine learning operations (MLOps) solutions and best practices. We bring our software delivery and DevOps experience to the machine learning field to better manage production deployments.
Production-Ready
We combine AI and software development expertise to develop production-ready products. Our focus is on impact of the final solution and we do not stop on the PoC phase. We look for the most cost-effective models balancing the performance and complexity of the solution.
Escape the pilot trap and focus on results
Image recognition & classification
Autonomous Vehicles
Recommendation Systems
Internet of Things
Predictive maintenance
Fraud detection & analytics
Text classification
Anomaly detection
Embedded analytics
Price optimisation
Demand forecasting and inventory optimisation
Robotic Process Automation
Customer sentiment analysis
Personalisation at Scale
Wearable analytics
Chatbots and virtual assistants
MEET OUR EXPERT
In my work, I leverage both IT skills and business knowledge to run analytics projects in various industries such as telco, retail, automotive or banking. My experience spans from building predictive models, scaling data science teams for startups and designing digital transformations for corporations. Parallel to my work, I am pursuing a PhD in Computer Science focusing on machine learning in bioinformatics and I have postgraduate management studies based on an MBA program.
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