Kloud9

Data engineering built on open-source tools

Kloud9's core customers are in retail, consumer goods, manufacturing and healthcare, and the firm builds its offer around them. Its data engineering service collects and consolidates data on any major cloud platform. The company says it uses open-source technology throughout and includes data loss prevention in the design, so that sensitive records are protected while they move between systems. The firm also says it runs a dedicated data science research and innovation center.

A framework for data science projects

Data science work follows the firm's own framework, which the firm's website describes as having several pillars. Two of them are named: pattern recognition with feature engineering, and computer vision with image recognition. Kloud9's data scientists lay the foundation for each project and then guide the client through a digital strategy that covers cloud, technology and data governance, with the aim of predicting better business outcomes.

Cloud migration, DevOps and generative AI

Cloud engineering covers cloud migration and cloud DevOps. The firm helps clients choose a cloud provider that fits their risk, cost and productivity needs, and it says it works with all of the major providers. Its generative AI work uses large language models to turn a company's own information into agents and chatbots. For applications, Kloud9 offers DevOps, MLOps and DataOps practices, which it uses to rebuild existing software for the cloud and to add machine learning automation that addresses problems before they reach end users.

Retail and operations examples

The firm's website describes several projects. One uses machine learning to predict shipment volumes after an order has been fulfilled, targeting shipments that were not needed. Another manages the availability of stock for online customers according to item profitability and set rules, so that inventory is used more effectively. A third estimates the likelihood that a store fulfilment will fail, so that shipments and cancellations can be cut. A large US department store is named as the client for automated fraud alerts on credit and gift card transactions, and for anomaly alerts and dashboards covering its store servers.

Reusable accelerators

The firm describes its solution accelerators and frameworks as ready-made starting points for data and AI work, which it says shortens the time to insight and to market. The site also gives counts of the data science and data engineering projects it has delivered, and of the records it has processed, as measures of its experience.