We solve problems

Our work focuses on the following fields:

  • right arrowData intensive applications
  • right arrowArtificial intelligence and machine learning
  • right arrowSolutions combining a wide range of technologies
  • right arrowScalable data tools

Our project principles

Team first

Team first

Interdisciplinarity is the standard for modern data science projects. We form teams with our clients and utilize knowledge from both parties.

Designed with expert knowledge

Designed with expert knowledge

Our methods are based on service design and engineering, paired with experience in implementing complex data intensive applications.

Data science loves engineering

Data science loves engineering

We design and build data products to all levels of business with deep scientific understanding and practical knowhow.

Our tool set for problem solving

Design and user centered approach

Design and user centered approach

  • Service design
  • User experience design (UX)
  • User interface design (UI)

Our approach combines knowledge of latest technologies, proven ways to make new innovations and just plain human beings. When planning a solution, a user centered design process ensures the right problem is addressed, and all relevant stakeholders are taken into consideration. A well-defined solution is planned for the stakeholder’s key needs and experiences, which can greatly affect user satisfaction and increase efficiency. Because digital systems are built to serve people, consulting the users is an essential part of design success.

Fields: ServicesManufacturing
Natural language processing

Natural language processing

  • Language translation
  • Categorizing
  • Topic modeling
  • Named entity recognition

Natural language processing (NLP) can be used to identify topics in text or to analyze text more broadly. Large masses of text are easy to handle when finding the relevant topics becomes effortless. NLP is applicable to a variety of fields, including research, journalism or customer service, etc.

Fields: MediaJournalismData Mining
Computer vision

Computer vision

  • Classification in images and videos
  • Pattern recognition
  • Optical Character Recognition
  • Image segmentation
  • Anomaly detection

Machine vision can be implemented in different ways, each of which is best suited to a particular application. Photographs, video data or digitally produced images can be used as material for image recognition. Machine vision is often used in monitoring systems and in systems that aim to locate an anomaly or phenomenon. It can also be used for scanning and reimagining a space.

Fields: ManufacturingServicesAgriculture
Business Intelligence

Business Intelligence

  • Churn-modelling and predictions
  • AI based data cleaning
  • Data Mining
  • Clustering and segmentation
  • Data platforms and dashboards

Businesses can gain additional growth from utilization of business and customer data. This data could be collected from online stores, digital platforms or accounting systems - and it is our job to handle the data pipeline construction from start to finish, including the data analytics and predictions. Collecting and storing data, building data tools, and leveraging analytics creates a solid foundation for growing your business.

Fields: Services
Recommendations and optimization

Recommendations and optimization

  • Recommendation engines
  • Optimization of user paths
  • Behaviour modeling & analysis
  • Combinatorial problems
  • A/B-testing and test platform building

Online services require speed and load optimization, and it should be done based on analytics. Customer experience and platform performance, on the other hand, can be improved by reducing the time users spend waiting on the site. Alternatively by cutting the time they spend on searching for the information, goods or services they want to find. By providing recommendations, shorter download times, and easier routes to navigate, the user experience becomes lighter and more pleasant. These outcomes are largely desirable, especially in the context of online shopping, streaming services and information platforms.

Fields: Services
Data platforms

Data platforms

  • MLOps
  • Data warehousing
  • Data Lakes and data platforms
  • ETL pipelines
  • Data modeling and catalogs

In order for data to be utilized, it must be easily accessible and properly stored. Different use cases require varying implementations, but with each use case the following aspects should be considered: the size of data flows, data update frequency (eg. real-time updates), data security, and scalability. All systems that use data require the use of a data platform, or data platforms, so the design, construction, and maintenance of platforms are commonplace for us.

Fields: Services
Signal processing

Signal processing

  • Time series analysis and predictions
  • Internet of Things
  • Anomaly detection

Signal processing is often used for images and language, but can also be appropriate for more generalised tasks. For example, factory machinery sensor readings, audio or web analytics clickstream data can be processed to provide informative analysis or automatic decision making.

Fields: ManufacturingServicesAgriculture
Robotics

Robotics

  • Sensor fusion
  • Control problems
  • AI integrations

Advanced robotics operating in open or closed environments need large amounts of information about the unpredictable variables that occur in their field of operations. Translating this data into machine controls is one of the cornerstones of robotics. Solving this issue is a significant challenge especially in industrial robotics, because high accuracy and safety is a standard requirement.

Fields: ManufacturingServicesAgriculture

Horizontal problem solving

AI and data science can be utilized in many different fields. We combine our technical skills with our client’s domain knowledge to gain coherent understanding of the field specific challenges, and find the suitable technical solution to help.

Industrial technology

Industrial technologies can benefit greatly from automation of small or large scale processes and monitoring. Machine vision, signal processing and different predictions can be utilized to increase the efficiency, accuracy and productivity of the manufacturing. Additionally the data can be used in the detection of anomalies, reducing the time spent on detecting and identifying possible problems in industrial processes.

Online stores and services

In online business settings almost everything can be measured to assess the effectiveness of different campaigns, products, or even singular online store elements such as button appearances. User behaviour and campaign effectiveness data can be used to drive more traffic to respective sites, and help make content recommendations or price optimization to users. Data driven conversion optimization is an industry standard and we can help you realize the customized goals set to your unique customer groups.

Media

The field of media has been quick to adapt to data driven optimization and recommendations, especially when it comes to online magazines and on-demand audiovisual services. Business driven content optimization and conversion driven user recommendations are a standard part of modern media services. Because data is easily accessible from these digital platforms, it can easily be visualized with data dashboards to be used in business decision making. Because of the multiple business benefits, data analytics pipelines should be built with care and the specific business needs in mind.

    Ask us anything!

    Want to know how to solve your problem or generate more business value? Contact us to discuss what type of technological solution would be best suited for your business needs.

    Our Typical Project Flow

    Project flow

    Products