Intelliarts

Intelliarts is an Eastern European software engineering and AI consulting firm based in Ukraine. The company builds full-cycle data-driven and machine learning solutions for clients across insurance, manufacturing, renewable energy, agriculture, digital marketing, and EV/smart grid sectors. They work with companies at various stages—from proof-of-concept through production deployment—handling everything from AI strategy and data pipelines to model training, integration, and ongoing monitoring.

The firm's core offering is custom AI and ML development. They've delivered predictive maintenance systems for EV chargers, LLM-powered agents that reduced processing time from minutes to seconds, automated data entry pipelines (cutting 8-hour workflows to minutes), and contract analysis tools using OCR and large language models. A real-estate client's ML model helped grow the business by more than 600% in 12 months. For Indigo Ag, they built ETL pipelines and medallion architecture that improved user satisfaction and sales conversion. They also built an automated translation portal for Dell EMC that reduced per-document translation time from 5–20 minutes to seconds, and developed a scalable EV charging management platform for EVIQ in just 6 months—faster than industry average.

Services and capabilities

Intelliartsoffers technology consulting, custom AI development, data engineering, and software engineering. Within AI development, they handle AI strategy and roadmap work, proof-of-concept validation, full custom model development, and post-launch monitoring and retraining. Data work includes ETL/ELT pipeline design, data warehouses and lakes, data modeling, exploratory analysis, and statistical modeling. They build computer vision solutions (object detection, image recognition, classification), natural language processing (text classification, summarization, sentiment analysis), and predictive analytics models. On the integration side, they develop APIs, connect legacy systems, and deploy to cloud-based AI platforms.

Their tech stack includes OpenAI, Amazon SageMaker, Hugging Face, AWS, PyTorch, XGBoost, LightGBM, Apache Airflow, and various analytics and monitoring tools (Evidently AI, Neptune AI, Plotly, Seaborn). They've also delivered specialized work in IoT solutions, big data systems design, and eMobility/EV charging software (OCPP/OCPI development, charging station management, energy optimization).

Notable work

Intelliartshas completed dozens of named projects. For Valency, they built a custom LLM-based agent that structures expert assessments, reducing processing time from 5 minutes to several seconds and turning unstructured feedback into decision-ready insights. At ProvenBase, they developed a B2B job sourcing platform with AI diversity tools and gender/ethnicity detection achieving over 90% accuracy. For an unnamed agritech company, they automated field data collection using remote sensing and internal APIs, cutting data entry from weeks to minutes and achieving 80% grower retention and 1M+ carbon credits generated in the first year.

They reduced a manufacturer's maintenance costs by 5% with AI equipment failure prediction using IoT sensor data, and built a deep learning object-counting system on a conveyor belt. An AI forecasting engine they developed for a global manufacturer predicts product demand with over 90% accuracy using time series and design cycle analysis. For an EV charger operator, they optimized energy consumption and reduced electricity costs with a power management solution. Clients including HubSpot, Dorel, and DDMR have praised their work—one HubSpot director noted they "instill the sense of ownership into their developers," while DDMR's CEO reported handling hundreds of terabytes of data per day and seeing revenue increase.

How they work

Intelliartsuses a structured six-stage approach: problem identification and scope definition, strategy development and architecture design, data assessment and preprocessing, AI model training and evaluation, production deployment, and ongoing monitoring with feature and dataset updates. They engage on fixed-price projects and dedicated team models. The engagement typically runs through multiple phases, with explicit checkpoints at problem definition, strategy roadmapping, data preparation, model evaluation, deployment, and production optimization. Communication and responsibility structures are designed to create clear ownership on the client side.

Team and credentials

The company has been recognized by multiple industry evaluators. Clutch named them Top Machine Learning Company in Ukraine 2025 and Top BI and Big Data Company in Ukraine 2025. TechReviewer listed them among Top AI Consulting Companies 2026 and Top AI Development Company 2024. Vendorland ranked them Top AI Consulting Company 2025. They also hold recognition from GoodFirms, Selected Firms, AppFutura, and The Manifest. Team size and specific founder names are not disclosed in the source material. English-language capability is evident from their client work across English-speaking markets and multilingual content delivery (including a 12-language localization project for HubSpot).