We implement AI models and ML systems that automate processes, analyze data, and support business decisions.
24/7 customer service
Predictions and patterns
Image recognition
Text processing
Predictive models
Process automation
We analyze available data, business processes and identify areas with greatest AI potential. We assess data quality and availability.
In 2–3 weeks we build a PoC validating the hypothesis. We quickly verify if AI will deliver measurable benefits before full investment.
Algorithm selection (classical ML, deep learning, LLM). Training, evaluation and hyperparameter optimization on your data.
Deploying model as API (FastAPI). Integration with CRM, ERP, web or mobile application. Load testing.
Real-time tracking of model drift, performance and anomalies. Automatic retraining when performance degrades.
Continuous model improvement based on new data. Expanding AI scope to additional business processes.
Not always. For classical ML a few thousand records are usually enough. We can also use transfer learning from pre-trained models (GPT, BERT), drastically reducing data requirements.
Yes. We deploy AI as a microservice with REST API that communicates with any system. We can also integrate directly with the database or via webhooks.
We define measurable KPIs before the project: accuracy, precision/recall, ROI of time savings or error reduction. We deliver a real-time monitoring dashboard.
RAG (Retrieval-Augmented Generation) enables an AI chatbot to use your own documents as a knowledge base. Ideal for customer service chatbots and internal assistants.
Yes. We can deploy on-premise or in isolated cloud. Data is never passed to public models without your consent. NDA is standard.