

We design and implement AI-based solutions that work inside your real processes: from customer service, through orders and documents, to quality control. From day one, we measure performance — KPI, costs, and ROI — and we deliver everything in full compliance with the AI Act and GDPR.


Privacy and AI implementations


We build solutions that run locally or in your cloud. Data never leaves your environment — we don’t send it to public services (e.g., ChatGPT). Sensitive fields are masked, models are versioned, access logs are maintained, and integrations respect your user directory permissions.
INDUSTRIES WITH THE MOST COMMON AI APPLICATIONS
E-commerce & Retail • Manufacturing & Logistics • Finance & Insurance • Telco • Travel • Media & Publishing • Healthcare*
(*non-diagnostics projects)


We implement practical end-to-end AI solutions: from process analysis, through design, to production and maintenance. Our services include order automation, chatbots (text and voice), personalization and recommendations, virtual try-ons/AR, team copilots, document processing (OCR/NLP), demand/price forecasting, quality control via cameras, and fraud detection — all with KPI/ROI measurement and compliance with the AI Act and GDPR.
Most commonly for e-commerce and retail, manufacturing and logistics, finance and insurance, telco, travel, media/publishing, and healthcare*. We understand the specifics of both B2C and B2B processes, from the front end (UX/customer service) to the back office (ERP/CRM/BI).
Real samples from your processes are sufficient: orders, conversations/emails, store logs, documents (invoices/contracts), camera images, or sales and inventory data. We assist with anonymization, quality validation, and dataset preparation.
Yes — we integrate with popular platforms (e.g., SAP, Dynamics, Salesforce, Magento, Shopify, WooCommerce) as well as custom systems via API, ESB/queues, or batch files. We support both cloud and on-premises environments.
Yes — we design for “compliance by design.” We provide risk classification, model documentation, decision trails, quality and human-in-the-loop checks, dataset registries, and model management policies (MLOps/monitoring).
AI relieves repetitive tasks and provides summaries/insights, while decisions in complex matters remain with humans. The result: higher throughput, fewer errors, and faster time-to-completion.
Do you support the Polish language, multilingual setups, and channels (chat, email, phone)?
Most common: order automation, document reading (invoices/contracts), sales/service copilots, product recommendations, demand/inventory/price forecasting, quality control via cameras, and fraud detection.
Access to sample data/processes, a list of systems for integration, process owners, and KPIs/business goals. The rest (analysis, technical design, compliance) will be handled together during the Discovery phase.

