DATAFOREST

DATAFOREST is a Ukrainian data engineering and AI software company founded in 2005 with 18+ years of experience across 250+ projects. The firm operates with 100+ software engineers and positions itself at the intersection of data infrastructure, generative AI, and custom software development. The company works primarily with mid-sized companies and startups in e-commerce, fintech, healthcare, and enterprise verticals, focusing on building data systems that directly impact revenue and operational efficiency.

The firm's core thesis is straightforward: not every process deserves AI. Their engagement starts with a two-week assessment to identify which problems will actually return ROI. In one engagement, Dropship.io earned an extra $150,000 in profit in the first year from data solutions DATAFOREST built. For Advanced Clear Path, an e-commerce company, the partnership led to exponential business growth. The company reports a 92% client retention rate, with 27% average increase in clients' revenue and 80% reduction in manual workflow time across typical projects.

Services and capabilities

DATA FOREST structures its work across eight service pillars. In data engineering, they build ETL pipelines, data lakehouse architectures on Snowflake or Databricks, and cloud-native infrastructure. Their modern data architecture approach consolidates fragmented legacy systems into unified, AI-ready foundations. One U.S. medical lab cut compute costs by 50% after migration to Databricks using medallion architecture while ensuring HIPAA compliance. Another client reduced monthly storage costs by 25% with a multi-terabyte lakehouse. Performance optimization is routine—they've delivered 40% reductions in data retrieval time by automating pipelines to clean terabytes of raw data and storing it in vector databases.

In generative AI and data science, DATAFOREST builds AI agents, LLM-powered chatbots, and custom machine learning models. They've delivered an AI voice agent for a CPA network with sub-450 ms latency that automates outbound calls and integrates with CRM and ATS systems. A U.S. SaaS platform saw 70% faster contract analysis and 90% higher accuracy after deploying an LLM-powered contract review engine. Computer vision projects include ERP testing automation—one UK healthcare IT consultancy cut testing time by 80% (from hours to minutes, 99.5% accuracy) using AI-powered automated testing across NHS systems. Natural language processing, predictive analytics, and data scraping (price monitoring, lead generation, real estate market research, web scraping for AI model training) round out the AI/ML division.

Digital transformation services address supply chains, enterprise resource planning, and process automation. Supply chain optimization reduced logistics costs by 25% within six months. Enterprise digital transformation consolidated separate systems into single cloud platforms, cutting production costs by 15%. A UK healthcare intelligence firm doubled team productivity with an AI-powered enterprise platform that automated data collection, GenAI enrichment, and reporting workflows.

Custom software development spans ERP systems, PoC/MVP development, custom web portals, APIs, and advanced web applications. Web and mobile development includes UI/UX design, cross-platform apps, retail-specific digital tools, and custom dashboards for analytics. DevOps and cloud services cover infrastructure cost optimization, cloud architecture design, migration, monitoring, incident management, and MLOps.

Notable work

A CPA network deployed an AI voice agent with sub-450 ms latency that automates outbound calls and integrates with CRM and ATS systems. A UK healthcare intelligence firm doubled team productivity using an AI-powered platform with automated data collection and GenAI enrichment. One U.S. medical lab migrated to Databricks with medallion architecture, unified 21 data sources, ensured HIPAA compliance, and reduced compute costs by approximately 50%. A U.S. SaaS platform accelerated contract analysis by 70% with an LLM engine delivering 90% higher accuracy on legal and construction documents. A UK healthcare IT consultancy reduced ERP testing time from hours to minutes using computer vision-powered automated testing at 99.5% accuracy. An e-commerce platform uses generative AI to identify emerging trends for 200k+ monthly active users. Dropship.io founder Josef Ganim reported earning an extra $150,000 in profit in the first year from DATAFOREST's data work. Advanced Clear Path, an e-commerce company, saw exponential business growth through their partnership.

How they work

DATA FOREST follows a five-stage engagement model: request (formalize your idea), problem identification (deep discovery), technical specification (detailed task sequences with optimal tools), product development (dashboards, data platforms, SaaS), and solution testing (scalable, production-ready). Development timelines vary: simple solutions take a few days to a month; typical engineering takes one to three months; complex solutions take three to six months. The company positions itself as a full-cycle provider handling strategy, build, deployment, ongoing support, and continuous optimization. Pricing depends on program size and data volume; they offer initial assessments from their data developers. Communication occurs via virtual meetings, email, and messaging apps. Team composition is flexible—clients get access to data engineers, ML specialists, DevOps, backend, and frontend developers as needed for each project.

Team and credentials

DATA FOREST was founded in 2005 and operates with 100+ software engineers. The team averages 18 years of experience and holds top certifications across data engineering, machine learning, and cloud infrastructure. The company serves eight major industries: e-commerce, retail, finance, cybersecurity, marketing, real estate, pharma, and insurance. While specific certifications (ISO, SOC 2, GDPR, HIPAA compliance status) are not detailed on their site beyond HIPAA work mentioned in case studies, the firm demonstrates production-grade delivery across regulated sectors including healthcare and fintech.