In mid 19th century Jaala ship was developed in coastal cities around the Gulf of Finland. The Jaala ship had originally two or three mast with gaffsails and the very latest Jaala ships had also motors installed in mid 20th century. The Jaala ships were sturdy and reliable cargo vessels providing growing cities with firewood, sand for construction and other useful materials and goods. Night or day, storm or good weather, the Jaala ships delivered valuable cargo for customers.

In spirit of Jaala ships, the DataJaala's mission is to provide high quality machine learning and software engineering services to customers with impeccable execution and a good dose of humour and creativity. DataJaala wishes to be Aidosti hyvä juttu.

What makes DataJaala different?

Unlike many other larger consulting companies, DataJaala is restricting itself to only certain areas and problems. DataJaala personnel have in the past worked in web projects, control systems, automation systems, customer analytics, churn prediction, time series analysis, time series classification, anomaly detection, datapipes, cloud data platforms, on premise and so forth.....and the key lesson has been that if you want to be really good at something, then you have to pick a speciality. For DataJaala the topics of choice are time series technologies, time series prediction, anomaly detection and MLOps supported by extensive cloud experience.

However, DataJaala's long and extensive experience allows working in all roles (data engineering, algorithms...) in various machine learning related projects within our speciality. In addition, DataJaala keeps track of latest developments in AI literature and has experience in implementing large scale cutting edge machine learning systems making DataJaala very versatile and effective partner.

DataJaala provides machine learning consulting services on an hourly basis and has extensive competence and experience with:

Machine learning on time series data

Prediction, forecasting, analysis, anomaly detection, classification and so forth.

Time series technology

Time series databases, processing, streams, ETLs, efficient breakpoint transformations, filtering, gap filling and so forth.

MLOps

AWS Sagemaker, Databricks, Azure Machine Learning and also model serving infrastructures built from ground up.

Cloud

Long and varied experience with cloud platforms with Infrastructure as Code and automated provisioning.

Datajaala Lab keeps up the latest research in anomaly detection, time series and generative models. In addition to this DataJaala Lab tries out selected models by implementing them to investigate practical usability of the model in industry. DataJaala Lab also investigates key technologies needed in machine learning, big data and cloud services.