DATAFOREST

Raw company data is turned into working applications by this Eastern European engineering firm, which targets mid-sized companies and startups. The pitch is that data should produce value, not just sit in storage, and that the products it builds should hold up in practice over a long period.

Building the data foundation

Data engineering is the base of the offer. The company builds data lakes and databases, pipelines that gather scattered information in one system, and monitoring tools such as price and product tracking. It also does data scraping and extraction from older files, and it organises results in a custom infrastructure so teams can get answers quickly.

Generative AI, agents and chatbots

The current site puts artificial intelligence near the top. The firm adds generative AI to existing systems so work carries on without interruption, builds software agents that plan and complete tasks for themselves, and builds chatbots that handle real questions and learn from conversations. It also describes workflow automation in which AI reads and processes data and different applications communicate through one unified system. Proof of concept and MVP development lets a client test an idea early, which it says saves money on full development and reduces risk. A short readiness check on the site asks visitors which processes deserve AI at all.

Software, web and operations

Custom software, web and mobile development, data science with AI and machine learning, and DevOps and cloud solutions complete the range, along with digital transformation work such as supply chain systems that match a factory's output to customer demand.

Results and recognition the firm cites

DATAFOREST says its projects have cut cancelled orders, saved working hours each month and sped up delivery, and it lists rankings it has received from review platforms for big data analytics, B2B services in Ukraine and IT services in Eastern Europe between 2020 and 2022. These are the company's own claims.